Data Space Radar

Horizontal Supply Chain Collaboration

SICK

Track and trace systems, in combination with digital services, can make the full supply chain more successful. Barcodes, 2D-codes or RFID technology can identify materials. At the same time, the digital services are digitizing the logistic processes, for example, repacking or validation of material in handling units.
These systems provide every stakeholder with necessary and trustworthy information via the IDS data structure. Based on the secure data exchange, further data-driven process automation, such as billing processes, is visible.

BENEFITS:

Digitized and trusted transparency of material flow in the full supply chain
Flexibility in generating new business models in the supply chain to reduce process costs
Reduced cost of fixed capital on stock

COMPONENTS:

SICK track and trace system
IDS Trusted Connector
Data Broker
Identity Provider
Corda

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The Data Spaces Radar #3

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Q

Supply Chain Manager

Volkswagen AG | thyssenkrupp | Fraunhofer ISST | sovity |

Trust is one of the highest rated requirements for collaboration in industrial environments, such as material provider and productive consumer, e.g. automotive production. Especially when exchange of sensitive data is required purely trust is not sufficient due of the fact that access to IT systems is outside of human’s control. A technical solution is mostly required to ensure data sovereignty on both ends, establishing trust by using technology.

BENEFITS:

Exchange and usage of data leads to process improvements
Increased transparency in automotive supply chains
Establishing mutual trust enables policy enforcement

COMPONENTS:

IDS Connector
IDS Connector Framework

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Q

ONCITE

German Edge Cloud

With ONCITE, companies can process and store data on site before they exchange it over a public cloud – with data sovereignty being ensured across the entire process. ONCITE is a compact computing center that is based on edge cloud technology. At the heart of it is the IDS–certified Trusted Supplier Connector. The user interface monitors and controls any exchange of data between two partners. Using the Connector, partners can evaluate data and make it available for being used by their own or by OEMs’ systems.

BENEFITS:

Suppliers and manufacturers can make their data available for being used in digital processes
Companies can process and store data on site before they exchange it over a public cloud
ONCITE allows data exchange transactions in real time and at the highest possible level of security

COMPONENTS:

IDS connector

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The Data Spaces Radar #3

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Use Case

Two or more organizations that apply an IDS-based solution to a real-life challenge for sharing data in a sovereign way.

Business Expertise

Data Space strategy: Cefriel can support organization to define the data space strategy for the company and design, develop and realize new IDSA data spaces or to evolve existing data spaces based on IDSA standards and principles.

Technical Expertise

IDSA architecture expertize and implementation capabilities: Cefriel can support organization in design, develop and realize new IDSA data spaces, get on board with new use cases and to evolve existing data spaces based on IDSA standards and principles.

Asset manager component, a customizabile component for the governance of exchange of data processes in data spaces.

Contact Details

Nadia Scandelli
nadia.scandelli@cefriel.com

Business Expertise

VTT is the Finnish IDSA Hub (business)

Support for companies in IDS onboarding
Use case specification and validation
Training

Technical Expertise

1. Compatibility tests for IDS components

Technical verification of third party components against IDS certified refererences
Interoperability tests of third party components in VTT IDS testbed
Test report for certification process

2. Customised IDS component development

Integration / interfacing with existing data infrastructure
Custom protocols and vocabulary for data exchange
IDS certification

Business Expertise

Fraunhofer ISST offers research expertise in the areas of data ecosystems and digital business and system solutions. Furthermore, Frauenhofer ISST is involved in the establishment of Data Spaces in the most important lead markets, as well as numerous IDS-related individual projects. Fraunhofer ISST is therefore an excellent and experienced partner in finding business opportunities through sovereign data sharing at a high technical level.

Technical Expertise

As an IDSA founding member, Fraunhofer has been involved from the very beginning and plays a key role in the creation of the reference architecture and certification. Fraunhofer also develops all components of the reference architecture in house and is thus in a position to provide a prototypical data space. The components developed by Fraunhofer are collected in the Fraunhofer IDS Lab and can be demonstrated there. Besides, Fraunhofer has adapted the components to the respective needs in various projects with companies. For technical consulting or support for implementation and the adaptation of IDS software components, Fraunhofer is happy to help with its extensive knowledge.

Contact Details

Joshua Gelhaar
joshua.Gelhaar@isst.fraunhofer.de

Website
www.dataspaces.fraunhofer.de

Technical Expertise

CERTH/ITI is the Greek IDSA Hub Facilitator. CERTH/ITI is one of the top Greek institutes related to ICT domain. CERTH/ITI provides technical expertise related to IDS architecture and IDS connectors.

Contact Details

Alexandros Nizamis
alnizami@iti.gr

Anastasia Theodouli
anastath@iti.gr

Q

Collaborative Warranty and Quality Management

SAP | Fraunhofer

SAP wants to make use of IDS data sharing concepts to improve business processes by providing smart data apps which facilitate intercompany collaboration.

The example of the „collaborative warranty and quality management“ apps illustrate how repair shops are incentivized to share vehicle quality data along the manufacturing supply chain, irrespective of their relevance for warranty claims. Suppliers of any tier gain transparency of quality issues from different downstream branches. When suppliers perform a root cause analysis of such quality issues, they can integrate downstream or upstream quality and usage data which is shared subject to usage policies.

BENEFITS:

Increased exchange of quality data along the supply chain
Timely discovery of evolving quality issues
Parallelizing previously linear business processes

COMPONENTS:

IDS Trusted Connector
SAP IDS App Store
SAP S/4 HANA
Usage Control (MYDATA)

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The Data Space Radar #3

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Q

Catena-X

CHALLENGE:

The goal of Catena-X is to create the first uniform standard for data exchange along the entire automotive value chain. The IDS standard is the blueprint for data exchange based on European values, such as data protection and security, equal opportunities through a federated design, the guarantee of data sovereignty for the provider of data, and trust between participants.

SUCCESS:

With the IDS standard as the essential infrastructure basis, Catena-X will be an extensible ecosystem in which automotive manufacturers and suppliers, dealer associations and equipment suppliers, including the providers of applications, platforms, and infrastructure, can all participate equally.

BENEFITS:

Create an important starting point for the industry to respond more efficiently to the challenges of digital transformation
Increase the automotive industry’s competitiveness
Improve efficiency through cooperation
Accelerate company processes through standardization and access to data

COMPONENTS:

IDS Identity Provider (CA, DAPS, ParIS)
IDS Metadata Broker
IDS App Store
IDS Clearing House
IDS Vocabulary Provider
IDS Connector

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Q

idento.one

Orbiter

Idento.one offers its users a verified digital identity with which they can identify themselves in the digital economy. In doing so, Idento.one solves the GDPR issues around the handling of personally identifiable information and enables data management in compliance with data protection. Idento.one gives users the ability to give (and withdraw) consent for third parties to use personal data. It acts as a "data broker", between individuals and companies.

BENEFITS:

Verified, digital identities
Secure, decentralized data storage

COMPONENTS:

IDS Broker
IDS Connector
IDS Clearing House

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Q

Deutsche Telekom - Data Intelligence Hub

Deutsche Telekom

The Telekom Data Intelligence Hub is pioneer in developing trustful, secure, and sovereign end-to-end data-sharing services. Provides a 360° approach to data spaces personalized dataspace onboarding advisory services.
The setup and orchestration of whole data ecosystems for its customers. All DIH solutions are cloud-flexible, easy to use, IDSA-certified, and GAIA-X compliant. They enable organizations to exchange data securely, and on their own terms, so companies can build new and/or better data products with sovereign data exchange.

BENEFITS:

Industrial strength data sovereignty, the power to maintain control over one’s rights to data
Doubling down on sovereignty with optional sovereign-all-the-way infrastructure based on Google Sovereign Cloud
IDSA-certified, fully GAIA-X compliant
Easy-to-use, cloud-agnostic, plug-&-play, customizable and personalized UI, built-in interoperability with other data spaces
No vendor-lock: We provide you with state-of-the-art managed services based on open-source components: If you like our services, you stay with us
The Magenta Advantage: Managed services, operated and backed by Deutsche Telekom/ T Systems – the European communication leader and pioneer in data space technology, with more than 5 years of experience and a strong network in Automotive, Manufacturing, Healthcare, and other Data Space sectors

COMPONENTS:

Eclipse Dataspace Connector (EDC-as-a-service)
a) Connect Starter
b) Connect Comfort
c)Connect Choice
Dataspaces-as-a-Service
a)Living Lab
GAIA-X Digital Clearing House for dataspace verified credentials
App store
Simple Data exchanger (Vocabulary Providers)
Identity provider
IDS Operator
IDSA Implementation Partner

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The Data Spaces Radar #3

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Q

GAIA-X - A Federated Secure Data Infrastructure

1800+ Contributors from 500+ Associations

GAIA-X is a European beacon project that will both connect existing cloud services and spark innovative new modes of connectivity to create a federated digital infrastructure for Europe. A critical success factor is to ensure data sovereignty and interoperability — a shared goal of GAIA-X and IDSA, which is why IDSA concepts are an integral element of the GAIA-X architecture.
Various use cases from different industries submitted in the Gaia-X Hubs demonstrate the advantages of a data infrastructure. The goal of the Gaia-X Hubs is to continually identify, develop and implement new use cases, showing the need as well as the added value of the sovereign data infrastructure. In addition, use cases help to identify sector-specific and cross-sectoral requirements. These are then incorporated into the development of Gaia-X.

www.gaia-x-eu

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Q

NTT Testbed on Data Governance and Sovereignty Across Countries and Companies

NTT | Siemens | Switzerland Innovation Park Biel/Bienne | Fraunhofer ISST | Robot Revolution & Industrial IoT Initiative (RRI)

In order to enable data to flow freely, the Japanese telecommunications carrier NTT had been working on ensuring protecting data sovereignty and cybersecurity by using the Smart Data Platform with Trust. This platform is a data infrastructure that enables secure and trusted data sharing based on consensus among stakeholders.
Using the Smart Data Platform with Trust, NTT has built a testbed among Japan, Switzerland, and Germany for demonstrating a use case of CO2 reduction and circular economy. This testbed demonstrates that data sharing between Japan and Europe is possible when partners use GAIA-X and IDSA’s core technology: the IDS Connector.

BENEFITS:

Enables trusted and sovereign data sharing across international borders, industries and companies
Supports solutions to major global social issues
Enhances cooperative and sustainable value creation

COMPONENTS:

NTT Smart Data Platform with Trust
IDS Connector (Dataspace Connector)
DAPS
OPC UA
Things Cloud
MindSphere

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IDSA implementation partner Fraunhofer ISST: show expertise
The Data Spaces Radar #3

Q

Smart Factory Web

The OPC UA Factory Connector is the gateway to the IDS and connects any factory to any IDS participant such as other customers or the Smart Factory Web.
The connector combines the benefits of IDS connectors (secure and standardized communication, data usage control) with the interoperability technologies and applications of Industrie 4.0. In consequence, any Asset Administration Shell (AAS) in the factory can be published and secured over IDS. The OPC UA Factory Connector is able to retrieve the data from the AAS and verify which partner of our supply chain is allowed to use which data element. After the validation and enforcement of the data usage policies, the selected data elements are made visible in our demonstrator.

BENEFITS:

Integration and Interoperability with Asset Administration Shell
Data usage control via IDS
New business opportunities by publishing factory capabilities and assets in marketplaces for industrial production

COMPONENTS:

OPC UA Factory Connector
IDS “MYDATA Usage Control”
Smart Factory Web
Asset Administration Shell

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The Data Spaces Radar #3

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Q

Maritime Data Space

Sintef | Navtor | Neuron | Wilhelmsen | DNV-GL

CHALLENGE:

Maritime shipping companies are required by law to transmit a set of important data before entering every port. There are various industry solutions for this data exchange such as the Veracity ecosystem in the market today. All of them are very complex and time intensive to manage.

Providers and organizations on shore do not have access to ship data like emissions, fuel consumption and route details. Data access agreements between data providers such as ship owners, authorities or shipyard equippers as well as service providers that take care of for example data analysis and process improvements must be negotiated individually. A common ecosystem for data exchange from ship to shore , that simplifies the process and does not exist.

SUCCESS:

The IDS-based Maritime Data Space brings together all participants and platforms in one trusted and secure data ecosystem. It ensures transparent access to ship-related data, enables secure, stable and efficient communication between ship and shore, and provides value-added and trusted services for ship operations.

Autonomous shipping, environmental sustainability, industry 4.0 technologies, and the connection between ships are current trends that the Maritime Data Space addresses in an innovative way. The combination of the Norwegian DNV GL Veracity data platform with an IDS-based ecosystem strengthens Norway’s position in international maritime data exchange and sharing. Last but not least, the Maritime Data Space satisfies customer and regulatory demand for transparency.

BENEFITS:

Transparent access to all relevant ship related data
Secure, robust and efficient communication between ship and shore
Simplified provision of trusted services for ship operation
Interoperability and data sovereignty for all involved parties

COMPONENTS:

Veracity Industry Data Platform
IDS Connectors
IDS Identity Provider (CA, DAPS, ParIS)
IDS Metadata Broker

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Q

Smart Parking

Volkswagen | Fiware Foundation | Wobcom

Smart Parking is a digital solution to improve parking in a city, reduce air pollution and support local businesses. Drivers in a city are not navigated to their destination, but to the nearest available parking space. They can register their preferred shopping profiles. These anonymised marketing profiles are matched with shops near the parking spaces. Matching shop offers are returned with hash codes for the possible offers. If the driver shops at that particular shop, their parking fee is paid by the shop.

COMPONENTS:

IDS Connector

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The Data Spaces Radar #3

Q

Smart Connected Supplier Network - Market 4.0

TNO

CHALLENGE:

Smart Connected Supplier Network is an initiative of manufacturing companies and their IT-suppliers in the high-tech manufacturing supply chain. The aim is to facilitate cross-factory communication and thus ensuring supply chain transparency and interoperability, resulting in an overall productivity improvement of 20%. This is realized by reducing the administrative burden and facilitating collaboration between supply chain partners. Unlike traditional centralized platform initiatives, SCSN is fully based on the principles of digital and data sovereignty. There is no central entity controlling the data. A non-profit foundation chairs the data sharing agreements, but the implementation is done by the involved IT-suppliers. Unlike existing EDI-initiatives, these agreements not only address the semantics, but also the technical and legal aspects between partners in the ecosystem.

SUCCESS:

SCSN is designed as a highly scalable solution by providing a network approach (four-corner model) which consists of the following two aspects:

One common semantic language to exchange: orders, forecast, TPDs, BoM, drawings, invoices, logistical information, catalogues, and measurement data.
Seamless technical agreements between Service Providers to ensure the promise of Connecting Once - Communicate with everyone. The underlying SCSN infrastructure is based on the reference architecture developed by the International Data Spaces Association. The SCSN Foundation created standard IDS Connectors and Data Apps, which can be used by service providers. These service providers, i.e. integrator parties, created off-the-shelve integrations with a complete portfolio of ERP systems. This way, they can very easily connect manufacturing companies to the network.

BENEFITS:

Seamless scalable integrations for manufacturing companies for exchanging purchase-to-pay information
Reduction in administrative burden, faster time-to-market, lower IT integration costs
IT service providers only need a single integration

COMPONENTS:

IDS Identity Provider (Certificate Authority, DAPS, ParIS)
IDS Metadata Broker
IDS Clearing House
IDS Connectors
Data Apps

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Q

Industrial Additive Manufacturing Services

IBM | thyssenkrupp | Fraunhofer ISST

Thyssenkrupp and IBM together with Fraunhofer ISST have developed a prototype that builds the foundation for further expansion of an industrial manufacturing platform. The combined use of IDS technology and Blockchain is intended to enable a higher degree of automation within the Additive Manufacturing process, as well as to provide data security and data sovereignty.

The secure platform enables the exchange of trusted data and seamless interaction between all parties along the value chain. Easy access to AM technology and services also opens up new revenue streams for small and medium-sized enterprises. In doing so, the ecosystem focuses on protecting intellectual property rights and ensuring product quality through the immutability of data,

BENEFITS:

Creating a trustworthy ecosystem for transfer of valuable and IP-relevant engineering data
Processing industrial AM orders in a fast, traceable and reliable manner
Protecting IP rights and ensuring product quality

COMPONENTS:

IDS Base Connector
Blockchain technology (Hyperledger Fabric)

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Q

DASLOGIS - Dutch Data Spaces for Logistics

CHALLENGE:

To adapt to changing market dynamics, organizations are collaborating more than ever in increasingly complex and agile supply chains, requiring a flexible exchange of many (often commercially sensitive) datasets with a variety of stakeholders.

Organizations in logistics are currently developing and implementing digitization strategies to adapt and prepare to extract value from these opportunities. However, the scale of the challenge transcends the boundaries of organizations. This project builds on the work and analysis of the needs, approach, positioning and roadmap for a Dutch logistics data space in the recently published white paper on the logistics infrastructure for data sharing.

SUCCESS:

Motivated because of conclusions from the white paper and previous research that there is a need for a Dutch Logistics Data Space (DLDS) that expands the limited functions of the current framework approaches for logistics agreements (such as iSHARE) and meets international developments and standards as also applicable in other sectors in the increasingly cross-sectoral and intertwined supply chains. That is why the DASLOGIS project aims to develop a DLDS: a digital virtual environment or ecosystem that enables the finding and controlled sharing of (potentially) sensitive data. It offers flexibility, extensibility, and personalization to support the three main types of logistics data exchange: "sharing transaction data for operational optimization," "sharing (big) data for data for data analysis," and "supply chain data sharing for real-time visibility."

DLDS will be based on the generic and internationally standardized IDS reference architecture model, supplemented and adapted to Dutch logistics needs where applicable. The Proof of Concept (PoC) of the DLDS is validated using three functional prototypes. The project partners will also demonstrate and assess the technical feasibility and business value of a DLDS for the Dutch logistics sector based on logistics use case.

BENEFITS:

Enables the discovery and controlled sharing of (potentially) sensitive data
Offers flexibility, extensibility and personalisation to support data exchange in logistics

COMPONENTS:

IDS Connectors
IDS Essential Service

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Q

Metal Domain Data Space - Market 4.0

CHALLENGE:

Selecting the most suitable new manufacturing equipment is a time-consuming challenge for many customers. There’s no easy way to digest all available information about options, so customers must browse the internet, attend trade shows and talk to multiple experts in order to reach an informed decision. We wondered if data spaces could help integrate and streamline this process. We focused specifically on the metal domain.

SUCCESS:

The MARKET 4.0 Metal Domain Data Space is based on the IDS Reference Architecture Model (RAM). It describes a robust and efficient solution for linking the inventories of different equipment manufacturers to a MARKET 4.0 service that analyses the customer’s requirements and returns the most suitable equipment options for a certain metal domain manufacturing process. The connection is made through IDS connectors and the inventories and services include essential IDS modules (i.e., clearing house, metadata broker) that guarantee a trusted data exchange.

BENEFITS:

The MARKET 4.0 Metal Domain Data Space makes the selection of manufacturing equipment simpler and more efficient, getting to a better result in less time.
It is flexible and offers two solutions:
1. Connecting equipment manufacturer repositories with a single IDS connector. The equipment manufacturers do not require knowledge of the IDS RAM. Only the connector owner needs to have it.
2. Connecting one service with multiple data providers via IDS connectors. The benefit of this is that the data provider controls the data flow and is independent of the connector provider.

COMPONENTS:

IDS Connector
IDS Clearing House
IDS Metadata Broker
Special Applications
Central IDS compliant platform

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Business Expertise

As an industry expert based in Germany, msg group can help you to get the best value out of your data. Based on our hands-on 5D consulting approach we support you in identifying sustainable use cases and kickstart your data spaces activities, based on real project experiences.

Technical Expertise

With our extensive cloud solution portfolio we are able to build up prototypes, fast MVPs and enterprise level system integration based on IDSA technology. This way we are generating early feedback and support sustainable decisions on the fast lane to production.

Contact Details

Ralf Neubauer
ralf.neubauer@msg.group

Website:
www.msg.group/datenbasierte-oekosysteme

Business Expertise

To support your organisational strategy, we work together with key people in your organisation to explore the opportunities for data sharing and data sovereignty with existing and new partners in your ecosystem. We investigate the concrete benefits of data sharing and data sovereignty, and identify how they can help you leverage your data assets to create value.

Pursuing a new data strategy is likely to have a big impact on your organisation from both a business and a technical perspective. We facilitate several different training modules that will help you, your co-workers and your ecosystem partners understand what data sharing and data sovereignty encompasses, how data sharing and data sovereignty will impact your service portfolio and what it takes to develop your very own sovereign data sharing use cases! We tailor our content to your specific needs.

Technical Expertise

We help organisations with defining and implementing business, legal, operational, functional and technical requirements that will enable your (sovereign) data sharing use cases. With our vast practical experience of bringing data sharing use cases to life, we support you from your use case exploration phase, design and actual development and testing of your use cases right through to your Go-Live. We also facilitate the co-creation of new services, offer project management support, help you with certification, and share our business, technical and regulatory expertise in data sharing with you!

Contact Details

Pieter Schuurmans
pieter.schuurmans@innopay.com

Website
www.innopay.com/en/topics/data-sharing

Business Expertise

Business expertise focusing on creating most adequate business models for monetization of data and associated services.

Example from Energy Domain - Offshore Wind Energy Data Space use case: Currently, only windfarm operators and OEMs have access to the data collected from the wind energy turbines in operation and therefore they are the only players that are presently extracting value out of data. Most European components suppliers and ICT companies do not have access to this data missing the opportunity to improve their competitiveness through digitalization of products and services. In this context, in Tecnalia together with the Basque Energy Cluster we are designing and developing an offshore wind digital platform based on IDSA reference architecture to enable data sharing amongst all the actors of the value chain.

Technical Expertise

Technical expertise from different R&D projects, focusing on: connectors, broker, usage control, clearing house, info model and vocabulary provider.

Example from Manufacturing Domain - TECNALIA Industry division has implemented a connection of manufacturing services (proprietary and external) to the central IDS modules (CA, Broker) through their IDS configured connector. In addition, TECNALIA has implemented a manufacturing data space based on the IDS RA to market manufacturing equipment. At last, TECNALIA is working on the implementation of IDS RA in the interaction of the manufacturing companies with the DIH ecosystem.

Contact Details

Alberto Berretega
alberto.berreteaga@tecnalia.com

Business Expertise

Business Models for Digital Transformation incl. Go to market strategies
www.unity.de/en/services/digital-business-models/

Enterprise Architecture Management - Master complex IT architectures with the management approach!
www.unity.de/en/services/enterprise-architecture-management/

Digital Customer Experience - Use Digital Technologies to increase revenue!
www.unity.de/en/services/digital-customer-experience-management

Customer Technology Acceptance
www.unity.de/en/services/digital-customer-experience-management/customer-satisfaction-and-recommendations/

Innovation Selling - Accelerate your process from the idea to market success
www.unity.de/en/services/innovation-management/innovation-booster/

Contact Details

Heiko Janssen
heiko.janssen@unity.de
www.linkedin.com/in/heikojanssen-it-architecture-newnormal/

Website
www.unity.de/de/leistungen/international-data-space-association/

Business Expertise

TNO has experience in setting up ecosystems and cooperation based on IDS infrastructure. This includes aligning stakeholder needs and capabilities, setting up an independent foundation to manage the ecosystem and developing a legal framework for the stakeholders and the foundation to work in

Technical Expertise

TNO has developed a generic IDS data app which includes an IDS connector. This data app can be "configured" using an OpenAPI definition. This increases development and deployment speed of new IDS data apps.

TNO's experience with IDS goes beyond development and implementation, a large number of data ecosystem related research projects are currently using IDS as their foundation within TNO.

Contact Details

Herman Pals
herman.pals@tno.nl

Website
www.tno.nl/en/focus-areas/information-communication-technology/roadmaps/data-sharing/international-data-spaces-ids/

Technical Expertise

TeraLab IMT will support you with building Data Space uses cases based on our IDS connector and marketplace. TeraLab IMT will leverage its expertise in the IDS architecture and will bring its state-of-the arts tools, to support you through the different stages of a successful integration project (1. understand, 2. develop, 3. implement, 4. operate)

TeraLab IMT Project Managers will assist you in building and assembling the most advanced components for your use cases through our 7 years experience in H2020 projects and implication with GAIA-X Data Spaces. TeraLab IMT will provide you with an access to an ecosystem of researchers, start-ups, and innovative companies to remove the scientific and technological barriers to using and sharing of data.

Contact Details

Contact Form
www.teralab-datascience.fr/?lang=en#contact

Website
www.teralab-datascience.fr/?lang=en

Q

AI.SOV

Cefriel

The AI.SOV project aims to develop an IDS architecture inspired platform that will guarantee secure and sovereign data sharing among supply chain partners. The sustainable industrial data ecosystem will based on industrial platforms that are supporting the European industries to faster exchange AI results, (such as spare parts production and forecast and predictive maintenance data, or data-driven new business opportunities throughout the value-chain) along with the whole industrial and supply/value chain stakeholders, leveraging on a secure and trustworthy sharing of manufacturing data. In other words, the aim is to design, develop, setup, and deploy a platform able to support and foster data exchange between trusted parties based on self-defined data usage policies by considering data sovereignty principles.

The technical solution provided by AI.SOV will introduce a governance layer devoted to human users over the machine-to-machine data exchange layer provided by IDS. In details, the data exchange layer will comprise IDS Connectors relying on the Dynamic Attribute Provider Service for mutual authentication between machines. This will be complemented by a user agreement layer, which will allow data providers and data consumers to make deals according to well-defined processes.

BENEFITS:

Generate new knowledge in the creation/usage of platforms for the exchange of data among stakeholders in the industrial supply chain
Create an educational module focused on data sovereignty in supply chain by providing both a formal rules representation framework, and real and tangible industrial examples (use cases)

COMPONENTS:

IDS Connectors
Dynamic Attribute Provider Service
Governance Layer
User Agreement Layer

MORE INFORMATION:

Q

Smart Factory

VTT | Konecranes-Fastems-Danfoss

The Smart Factory is a step towards the Industry 4.0 vision for smart manufacturing where different machines interact with each other without, or with minimal, human control. The use case and involved IDS Solutions provide multiple benefits. For example, machines (and the companies that operate them) can better control with whom and what data is shared, and how data consumers handle the shared data. Moreover, IDS provides a systematic way to introduce new machines / companies into the factory and no case-by-case integration solutions are needed. With the IDS certification scheme, different stakeholders (both in-factory and external) can ensure that the utilized data exchange components address required security requirements. Finally, IDS brings improved interoperability across different data exchange protocols and formats, and data models.

BENEFITS:

Enhance trusted data sharing across factory borders facilitating e.g. the creation of digital twins
Enable interaction between machines and systems using different communication protocols (i.e. OPC-UA and non-OPC-UA)

COMPONENTS:

Connector – Is based on the Trusted Connector reference implementation and has been extended to support OPC-UA based data exchange. Enables machines to communicate with each other and also facilitates data exchange with external stakeholders.
Dynamic Attribute Provisioning Service (DAPS) – Provides dynamic, up-to-date attribute information about participants and connectors. Currently, the Fraunhofer’s DAPS implementation is used.

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IDSA implementation partner VTT: show expertise
The Data Spaces Radar #3

Q

Basque Energy Cluster

Tecnalia

A Digital Platform for sharing (real-time) operational wind turbine data, enabling wind turbine Data Owners to share their data in a secure, trusted and scalable way.

BENEFITS:

Enables wind turbine component suppliers to improve component designs and lifetime
Enables windfarm owners to receive improved insights in windfarm performance and enables predictive maintenance of the wind turbines in their windfarm
Enables wind turbine manufacturers to improve their wind turbines’ efficiency, Operation and Maintenance (O&M), and wind turbine lifetime

COMPONENTS:

Offshore wind digital platform as a Data Marketplace, architecture (to be defined) based on IDS-RAM
IDS Connectors and IDS broker to link Data Owners and their Data Sources with the Data Marketplace on one side, and link Data Users via Data Apps with the Data Marketplace on the other side
Vocabulary provider to manage common data models in order to foster the interoperability between different players

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IDSA implementation partner Tecnalia: show expertise
The Data Spaces Radar #3

Q

Kiel Mobility Digital Twin

FIWARE | City of Kiel

The digital twin of the mobility stations makes data available through open APIs and standardized data models. This enables a better accessibility of the system both, south- and northbound. Through the standardization, the digital twin of mobility hubs is scalable and can foster the usage of new mobility services and improve municipal mobility planning.
A prototype of the digital twin is implemented for the mobility hub in Kiel Oppendorf.

BENEFITS:

Enable digital mobility services
Improve municipal mobility planning

COMPONENTS:

FIWARE NGSIv2 and NGSI-LD Context Broker
IDS-components planned for the future

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The Data Spaces Radar #3

Q

Trusted Exchange for Aeronautics

Engineering | Avio Aero

The scenario for trusted data exchange for aeronautics includes data exchange between engineers, design and testing centres, and aviation companies across country borders. This means that different data protection laws apply. IDS connectors ensure that data can be managed in a safe and standardized manner, allowing for better condition monitoring and detection of anomalies for quality assurance. The connector development plays a crucial role in this scenario as cost reductions for quality assurance become possible. The implementation of the Data Sovereignty principles, following the International Data Space Association Reference Architecture Model, guarantees from on hand to control the access and the usage of data (cross-countries, cross-companies, etc.), on the other hand, the creation of an ecosystem ready to be extended to satisfy new needs and communicate with existing companies using a common vocabulary.

BENEFITS:

Trusted data exchange between different establishments and countries
Usage of IDS open-source components for enabling the data exchange
Providing an Ecosystem Platform for processing and consuming data

COMPONENTS:

IDS Connector
IDS Clearing House

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The Data Spaces Radar #3

Q

FAIR Data Spaces

Federal Ministry of Education and Research, Germany | Fraunhofer FIT

The project will build a common cloud-based DataSpace for industry and research by connecting the National Research Data Infrastructure NFDI and GAIA-X and following the FAIRData principles.

The project covers parts of the consortia/initiatives NFDI4Ing, NFDI4Chem, NFDI4Health, NFDI4Culture, GHGA, NFDI4Biodiversity, KonsortSWD, Medical Informatics Initiative, Gaia-X Association for Data and Cloud (AISBL) and International Data Spaces Association (IDSA).

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Q

Mobility Data Space

CHALLENGE:

Intelligent traffic and mobility systems require a large amount of data in order to support decisions in the best possible way or even to take them automatically. Although countless mobility data are already collected and processed today, comprehensive utilization of these data is often not possible for technical, legal or economic reasons. With the Mobility Data Space (MDS), an open IDS-based data space that goes beyond the secure exchange of sensitive mobility data, as well as linking existing data platforms with one another (cf. Mobility Data Marketplace – MDM). In this way, comprehensive mobility data can be made available in the future without worrying about misuse of data.

SUCCESS:

The MDS enables the sovereign handling of data for digital mobility solutions. Common legal frameworks based on European data protection guidelines form the basis for this.
By linking offers from different mobility providers, individual mobility can be better combined with public transport offers and sharing providers. New possibilities also arise for traffic control by local authorities when data from private motor vehicles are combined with parking space utilization data and data from local public transport. Real-time information, for example, taking road works or traffic jams into account, allows flexible adjustment of routes for private and public transport vehicles. The perspective to be compliant with other data spaces that cover different domains create a whole new understanding of the mobility sector. The MDS will go live in the first half of 2022 as one of the first IDS-based data space operating at the market worldwide.

BENEFITS:

secures data sovereignty by establishing common rules for trustworthy data transactions
reduces the economic and technical dependence on digital platforms of large private providers
creates a basis for a cross-modal and intermodal mobility system

COMPONENTS:

IDS Identity Provider (CA, DAPS, ParIS)
IDS Metadata Broker
IDS App Store
IDS Clearing House
IDS Vocabulary Provider
IDS Connectors (not provided by operating company)

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Q

Silicon Economy

Fraunhofer IML | Fraunhofer ISST | TU Dortmund

The Silicon Economy is a synonym for an upcoming digital infrastructure or digital ecosystem based on the automated negotiation, scheduling and control of the flow of goods, enabling new, digital business models for logistics (among others). This digital infrastructure enables comprehensive transparency in value added networks and creates trust along complete supply chains, from the supplier of raw materials to the end customer – which is maybe the most important prerequisite for getting all companies to participate.

LEARN MORE:

Show Use Case
IDSA implementation partner Fraunhofer ISST: show expertise
The Data Spaces Radar #3

Q

NL AI Coalition - Oncology Research

Challenged to be met: Using data between hospitals to further research in oncology.
Solution: IDS provides the reference framework and the software to build in data sovereignty.

BENEFITS:

Advancement of research through access to more data without the need to transfer subject-level data
Potential deployment of new algorithms in the field of oncology
Basis for federated deep learning solutions at scale in the medical domain

COMPONENTS:

The IDS connector with additional capability to allow for improved access to data in a manner that complies with the demands of the hospitals and GDPR

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IDSA implementation partner Fraunhofer ISST: show expertise
The Data Spaces Radar #3

Q

Energy Data Space (EnDaSpace)

Fraunhofer IEE | Fraunhofer IWES | Fraunhofer ISST | Fraunhofer IOSB-INA | Fraunhofer IOSB-AST

CHALLENGE:

The digitization of the energy transition aims to harness information from a large number of decentralized power generators. With the prospect of green hydrogen gaining importance in the energy sector, the sources of electricity supply for the electrolysis of hydrogen is important. Operation of electrolyzers need to consider availability of green electricity, actual power prices and grid situation. In this use case wind power should be used for hydrogen production when the resource is available.

SUCCESS:

Communication between the plants and systems takes place via an Energy Data Space. Here, plants exchange data according to agreed rules and under certain conditions. An IDS connector implements these rules and processes. The concept of International Data Spaces thus enables all players to make self-determined decisions about the use of their data, thus enabling their digital sovereignty.

The turbine operator provides a data resource with operational data via an IDS connector. An energy management system from a third party provides the digital service to create an optimized schedule which is then sent to the electrolyzer for operation.

BENEFITS:

Provision of operational wind data resource
Digital Service for Calculation of an optimized schedule
Proof-of-concept with real world assets
Data communicated through IDS-connector into FIWARE platform

COMPONENTS:

IDS connector
IDS Identity Provider (CA, DAPS, ParIS)
FIWARE platform linked through connector

LEARN MORE:

Show Use Case
IDSA implementation partner Fraunhofer ISST: show expertise
The Data Spaces Radar #3

Q

Rail Data Space

Knorr-Bremse, SAP, msg

In the rail domain, data-driven business models play a major role for future sales and markets. Secure, dedicated and sovereign data exchange is a challenge in this heterogeneous market. Condition based maintenance on vehicle parts and system components is a major driver to optimize costs and to enable new data-driven services. Data exchange among different companies is the key to leverage predictive maintenance scenarios. Data, information and knowledge is distributed within the domain.

Based on a clear discovery phase to define the business case, we are implementing a technical feasibility with the IDSA using the Open Source Data Space Connector.

BENEFITS:

Creating technological facts
Establishing data exchange with real data assets
Following a clear model with distinct decision points to push condition-based maintenance in the rail domain

COMPONENTS:

Open Source Data Space Connector
Data Apps
Usage Policies

LEARN MORE:

IDSA Implementation Partner msg: show expertise
The Data Spaces Radar #3

Q

RealLab Hamburg

National Platform for the Future of Mobility (NPM) | 31 companies and organizations from Hamburg and the area

CHALLENGE:

To leverage the potential of intermodal travel, seamless integration of all mobility options in one user application is crucial. This application requires data interoperability and data sharing between multiple providers, such as different platforms and mobility providers, who have so far been reluctant to share their data, also for fear of competitive disadvantages.

SUCCESS:

In the RealLab Hamburg, the digital mobility of tomorrow is being tested in the here and now of a German metropolis. Based on this, a blueprint for the mobility of the future is to be created. At the centre stands the social debate on digital mobility services in order to provide important insights into which approaches will prove themselves in practice.

A planning app for door-to-door travel between Hamburg and Berlin will be realized as a demonstrator using the IDS & Gaia-X data sovereignty standard. The IDS based data space creates advantages for all stakeholders. Citizens benefit from improved travel options, mobility providers from new business opportunities.

BENEFITS:

Improved mobility trough digitalization & automation
Reduction of traffic & emissions
Increasing mobility & traffic safety

COMPONENTS:

IDS Connectors

LEARN MORE:

Q

Ö-Cloud Initiative: Trust in standards and services

Federal Ministry for Digital and Economic Affairs of Austria, msg, multiple companies and organizations

CHALLENGE:
Handling data is a crucial success factor for digital transformation. When it is shared and reused, data does not become less, but provides new information and applications. If Austria and Europe succeed in making even better and more targeted use of the treasure trove of data, this will bring greater innovative strength, higher competitiveness and better resistance to crises.

The Federal Ministry Republic of Austria Digital and Economic Affairs (BMDW) offers support to companies and research institutions regarding the topic of Gaia-X as part of the Ö-Cloud initiative. The overall goal is to strengthen the digital sovereignty of Austria.

SUCCESS:
msg as an IDSA Implementation Partner has supported the Ministry and the participating companies by a) providing an overview about technical structure of compatible data spaces across domain boundaries b) infrastructure consulting for the operation of IDS and Gaia-X compliant architectures c) aligning and positioning use cases regarding their specific role in the Gaia-X ecosystem.

With the Ö-Cloud Initiative, the BMDW promotes secure data management and data use by Austrian companies. To this end, the association of domestic cloud providers to form a digital security network is supported. Providers of cloud services in Austria complete a self-evaluation according to strict and transparent security standards. For this, they receive the Ö-Cloud seal of approval.

BENEFITS:

The use of secure cloud applications and innovative services creates new economic opportunities for companies.
More data sovereignty: Your own data remains where you want it - in Austria, Europe or beyond.
The data is securely stored and managed according to strict standards (e.g. DSGVO).
The Ö-Cloud initiative facilitates cooperation with other European cloud providers (GAIA-X) and gives domestic providers a competitive edge.
Austria is strengthened as a location for the data economy and becomes more attractive internationally.

COMPONENTS:

IDS and Gaia-X compliant infrastructure

LEARN MORE:

Q

European Industrial Data Space

CHALLENGE:

Boost 4.0 is the biggest European initiative in Big Data for Industry 4.0, with a 20M€ budget that will leverage over 290M€ of private investment. The 53 partners of the consortium have set the foundations of a sovereign manufacturing oriented European Industrial Data Space (EIDS) in a realistic, measurable and replicable way. The EIDS architecture was aligning with the International Data Spaces (IDS) reference architecture model.

Boost 4.0 has also contributed to the creation of cooperative big data ecosystems widening the European network of digital Hubs and setting up the Digital Factory Alliance, an initiative to offer over the next years a community where European industry, especially SMEs, can find all they need to embrace the big-data transformation of Industry 4.0.

SUCCESS:

Contribution to the international standardization of European Industrial Data Space data models and open interfaces aligned with the European Reference Architectural Model Industry 4.0 (RAMI 4.0).
Through 11 lighthouse factory trials and 2 replication ones, Boost 4.0 has leveraged 2 open source (OSS) reference implementations of sovereign data connectors, 1 certification model and 1 integration camp facility for open validation and verification of manufacturing data space software components

BENEFITS:

Numerous benefits for the 11 factory trials including increase of Overall Equipment Effectiveness (OEE), improvement of quality and reduction of maintenance activities that were measured by carefully selected KPIs

COMPONENTS:

IDS Identity Provider (CA, DAPS)
IDS App Store
IDS Connectors

LEARN MORE:

Data Space

A domain-specific or cross-domain ecosystem of trusted partners that share data to benefit of the added-value potential in many different use cases.

Levels of Maturity

Lead In:

Organization or consortium is in the phase of shaping an IDS-based use case by identifying opportunities and/or challenges that can be addressed with sovereign data sharing

Case Committed:

The scope of the use case, the value created and the roles of organizations involved in it have been identified. An approach for realizing the use case has been defined.

Pilot:

IDS-based solution has been implemented and first prototypes have been tested in a use case pilot.

Live:

Use case is running live and data flows in a sovereign way between data sharing parties.

Technical Expertise

HYPERTEGRITY AG spearheads the digital transformation of German cities as a key supplier of the Urban Data Platform Paderborn. Built entirely from open source components, its digital ecosystem is custom-tailored as well as enabling Paderborn to offer it to other municipalities. This approach to Smart Cities made in Germany provides a solid foundation for integrated, sustainable urban development – effectively avoiding the all-too-common traps of vendor lock-ins.

With Smart City infrastructure a rather recent tech stack, our team is supremely qualified for the handling of critical distributed systems: our people are trusted with the development and operative support of road tolling systems since 1999.

www.hypertegrity.de/#smart_cities

Contact Details

Heiko Janssen
heiko.janssen@unity.de
www.linkedin.com/in/heikojanssen-it-architecture-newnormal/

Website
www.unity.de/de/leistungen/international-data-space-association/

Business Expertise

Data Space Use Case, Business Strategy and Policy Design. Through the experienced gained in the design of data space and AI policies and business strategies for the European Commission, national/local governments in multiple sectors or award winning data products, Innovalia Digital and CARSA (Innovalia Group) provide individual business consultancy for design and development of public policies, private business strategies, use cases and technical and industrial agreements and frameworks for trusted data space set up and/or participation.

Design and Development of Research & Innovation Projects. Innovalia has accummulated a successful record setting up large scale innovation pilots and testbeds. CARSA (Innovalia Group) can support companies in the development of R&I projects for adoption of IDS technical and business solutions. The Innovalia Association has access to knowledge and infrastructure for development of testbeds and projects.

Technical Expertise

Technical Support for IDS Component Development. Dedicated technical sessions provided by Innovalia Digital team and personalised access to Innovalia IDSA Integration Test Camp (ITC) https://www.sqs.es/q-idsa-itc/?lang=en facilitated by Innovalia company SQS for continuous development and interoperability assessment of all types of IDS RA components (pre-certification).

Technical Support for Integration of IDS RA in Digital Solutions and Services. Innovalia has led the design, implementation and evaluation of over 80 data-driven innovation processes trials and industrial business cases in collaboration with the largest European manufacturing industries, leading and participating in the European largest scale piloting efforts for the evaluation of a European industrial data space, the Boost 4.0, Productive 4.0 and Qu4lity H2020 projects. Innovalia Digital and Innovalia Metrology have led in collaboration with IDSA, FIWARE Foundation and ProStep IVIP the implementation of the award winning IoT Solution World Congress 2019 Testbed on Digital Twin Continuity and Sovereign Data Spaces. The expertise accumulated by Innovalia Digital Research & Innovation team will support your organisation in the integration of IDSA connectors within your existing data management platforms or services.

Data Sovereignty Up-Skilling Programmes. Innovalia has supported IDSA in the training of research teams and industrial partners in EU H2020 R&I projects on the use and adoption of IDSA RA and technical components. Innovalia Digital can support your team in the development of training plans in both technical and business areas to master IDSA assets.

Contact Details

Contact
idsa@innovalia.org

Website
idsa.innovalia.org/

Business Expertise

With our proven methodology for more than a decade, we provide expertise of real-world value network and information modeling which are used to create new business models and novel use cases for trusted cross-sectoral corporate data sharing and take them into practical solution concepts fast.

Expertise on data productization and standardization for cross-domain interoprability.

Technical Expertise

Open standards based technologies for knowledge graphs, globally interoperable user enrollment and authentication as well as user data consent capabilities for trusted corporate sharing to complement the IDS certification and trust infrastructure.

Contact Details

Henna Suomi
henna.suomi@digitalliving.fi

Website
applications.ihan.fi
digitalliving.fi

Business Expertise

GATE is the Bulgarian Hub Facilitator. Being the first dedicated Centre for Big Data and AI in Bulgaria, it aims to be the catalyst of national endeavour towards Data usage and Data sharing in both industrial and public domains. GATE provides business expertise related to the elaboration of new data sharing driven use cases and business models and the respective ecosystem establishment and sustainability. GATE will support both supply and demand side of data sharing and the value-adding utilization of data through the realization of industrial, city related and public data use cases.

Contact Details

Irena Pavlova
irena.pavlova@gate-ai.eu

Website
gate-ai.eu/en/business/idsa-hub/

Q

Vehicle Charging

EDF

Electric Vehicles drivers can find charging their cars confusing and worrying:

Multiple smartphone apps/RFID cards needed to access different public charging networks
Varied pricing rates and structures
Limited interoperability of networks
Difficulty to plan long journeys across multiple networks
Users must plan their journeys more akin to that of a commuter using public transport.
Users can find charging points not working / already in use

All is exacerbated if a driver does not have a home charger or lives in an apartment block with no charging facilities (which is likely at the early stage of EV market development).

There are many data sources separately held that could unlock solution and value if they were aggregated and centralised for use and analysis. We propose to enhance roaming standards to allow operators to offer enhanced services that enable customers to freely move and charge between their home charger and partnering public charging networks, allowing a view of all of their EV ‘fuel’ in one place.

BENEFITS:

This service will improve the EV’s owner experience, by dematerializing the payment amd facilitating the planification of a long journey
It will enable real time connection with charging points (CP), in order to monitor CP availability and CP failures

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The Data Spaces Radar #3

Q

Wind and Solar Assets modeling

EDF

When it comes to manage efficiently and effectively the renewable assets and all the O&M actions for the different actors (Manufacturers, Owners, Developers, Operators, ...), the difficulties to access to data exploitable in a cross functional way by these different profiles of actors and the different digital systems mobilized represents a real challenge.

The wind and solar description model is the digital backbone to federate all the businesses and its ecosystem around one single source of truth from “DESIGN, MODIFICATION to others REFRESHMENT”. This structured, agnostic asset management description support business process orchestration in a context of new business model refocused on growth of decentralized and distributed energy and carbon neutrality "as a service".

Being able to share the same abstract representation of data for the wind and solar domain would allow a better understanding of the associated operations (asset management, RCA, Structural Analysis, Visual Inspection, monitoring ...) and an obvious improvement of the processes that mobilize the processing of this information. It lays foundations of virtual plants.

BENEFITS:

Opportunity to build comprehensive models, and analytics frameworks and improve multiparty collaboration capabilities needed to support digital ecosystems. It lays the foundations of virtual plants with their benefits
The backbone for renewables operators to ensure continuity of technical data along the cycle
Real accelerator for Greenfields and brownfields assets to deliver more safely, more quickly more efficiently, and with a lower Total Cost of Ownership.

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The Data Spaces Radar #3

Q

Test Use Case

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With the IDS standard as the essential infrastructure basis, Catena-X will be an extensible ecosystem in which automotive manufacturers and suppliers, dealer associations and equipment suppliers, including the providers of applications, platforms and infrastructure, can all participate equally.

BENEFITS:

Create an important starting point for the industry to respond more efficiently to the challenges of digital transformation
Increase the automotive industry’s competitiveness
Improve efficiency through cooperation
Accelerate company processes through standardization and access to data

Learn more

Introduction

We help to clarify the business, legal, technical and ethical questions for your data sharing network.

Business Expertise

Fair Data Economy Rulebook model for any data ecosystem that wants implement its use case based on IDS.

Technical Expertise

Personal Data Management for IDS use cases. Specific focus on MyData operator functionalities for cities that is both IDS and OASC MIM4 compliant.

Simplifying Data Contract Services and Data Usage Control by mapping rulebook contents to IDS compliant machine-readable specifications through a Contract API.

Contact Details

Marko Turpeinen
marko.turpeinen@1001lakes.com

Website
1001lakes.com

Q

Trusted Data Sharing in Smart Cities

VTT | Vastuu Group

Focusing on decision-making around transportation as an area of critical importance, we sought to build proof of concept for many-to-many connections that could be utilized in a smart city context. Our case involved two data lakes – one associated with energy use, the other with transportation and logistics. With the help of common design principles, ecosystem, a layered approach and building blocks, we were able to connect different parties together and make trusted and harmonized data sharing a reality. In this case, the result was improved information around decision-making for transportation, but it is easy to see how this generalizes to other smart city scenarios where acquiring and integrating different data sources enables better decision-making, innovation and new service creation.

BENEFITS:

Drives Europe’s data economy
Next-level adoption and co-creation of value with commercial scenarios
Fosters neutrality, standards and common language to avoid risks and enhance trust
Helps establish the community and ecosystem to foster future innovation

COMPONENTS:

DAPS
IDS connectors
Data harmonization and case-specific ontologies

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Q

Mobility Data Space - Efficient Parking Monitoring and Planning Solution

Mercedes-Benz | acatech

CHALLENGE:

Existing solutions for parking space monitoring are complex and cost-intensive (infrastructure, hardware, personnel)

SOLUTION:

Digital parking management with an overview of the current parking situation with real-time data.
Realization of predictive parking planning with the analysis of the parking behavior of the Mercedes-Benz fleet.

DATA BASIS:

Anonymous vehicle data: Park-in/out events with GPS. Position, time, parking duration and approx. vehicle size.
Fleet with more than 300.000 vehicles in Germany.

POSSIBLE DATA USERS, E.G.:

Cities & Municipalities
Content Providers
Parking Companies

LEARN MORE:

Mobility Data Space Website

Q

Mobility Data Space - Information on the Utilization of Parking Spaces

VRN | Metropolregion Rhein-Neckar | Urban Software Institute | acatech

CHALLENGE:

For P+R facilities and tourist regions, parking spaces are often overloaded by commuters and day tourists.
There is a lack of information about capacity utilization.

SOLUTION:

AI-based analysis for parking utilization through real-time data and forecasts.

DATA BASIS:

Floating car data
Parking sensor data (where available)
Analytics, aggregated parking and service data
Mercedes-Benz vehicle parking data, where applicable

LEARN MORE:

Mobility Data Space Website

Q

Intelligent Washing Machine

Haier | Fraunhofer ISST

SOLUTION:

Through sensors within washing machines laundry data can be collected, which enables companies to offer their consumers a better utilization of washing machines with additional services. This data is sent to COSMOPlat for optimizing washing programs through ML. The optimized washing programs are sent back to the consumers washing machines to save energy, time, and costs, as well as it reduces the carbon footprint and will lead to longer lasting garments. By collecting consumer data companies get the possibility to gain data insights for product and service innovations. To make this use case concept feasible, IDS technologies need to be implemented, to reach data sovereignty. With the sovereign exchange of data, consumers are willing to share data with companies, as they are in full control over their data and can allow the usage of data only for specific purposes.

BENEFITS:

Increasing the experience of laundry making:
- Reduction of mental and organizational effort
- Save cost, time and energy, environmental awareness
- Longer lasting garments
Offer consumers a better utilization of washing machines with additional services
Gain data insights for product and service innovations

PARTNERS:

Haier COSMOPlat
Fraunhofer ISST

COMPONENTS:

COSMOPlat
IDS connector
RFID sensor

LEARN MORE:

Q

ECI Gatewise

ECI Software Solution | TNO

CHALLENGE:

Ensuring our customers have up-to-date data across the supply chain in their local system.

SUCCESS:

By using the IDS connector, companies affiliated with a SCSN Service Provider can digitally exchange supply chain related messages with companies affiliated with another SCSN Service Provider.

BENEFITS:

IT service providers only need a single integration to connect to their complete supply chain.

COMPONENTS:

IDS Connectors
Data Apps
Broker
DAPS

LEARN MORE:

IDSA Implementation Partner TNO: show expertise
The Data Spaces Radar #3

Q

ADVANEO DMP

Advaneo

The ADVANEO DMP is a collaboration portal that enables the data-sovereign formation of Data Spaces for data-driven applications. Thereby, integrated AI tools, data models and applications as well as free access to millions of Open Data support the development of data-driven innovation projects. For this purpose, the ADVANEO DMP is based on the reference architecture of the International Data Space Association and in the future also the GAIA-X standards.
As a result, the DMP acts as a broker service for data products: They are made globally discoverable by the marketplace with the help of their metadata. The DMP has no contact with the actual raw data at any time. These remain with the provider and are only transmitted directly to the interested party in peer-to-peer encrypted form by an IDS-Connector after successful license acquisition. If required, several parties process sensitive data in dedicated groups without access to the raw data of the other parties. Only the exploitation result is accessible to all. This enables the sharing of confidential data in value chains.

BENEFITS:

Access to internal, external and open data offerings.
Complete control: Sovereign data sharing by IDS-standards
Data Science Workbench for on-the-fly processing
Open Innovation through datathons
Access control throughout your whole organization

COMPONENTS:

IDS Broker
IDS Connector
IDS Clearing House
IDS App Provider

LEARN MORE:

Q

EUHubs4Data (EUH4D)

EUHubs4Data

EUHubs4Data (EUH4D) project aims to establish the European federation of data driven Innovation Hubs, through the collaboration of relevant initiatives in Europe, creating of an European federated catalogue of assets (services, data, training) and making it available at regional level by the hubs in the federation. IDS reference model has been selected as the model to enable the interoperability between services and datasets of the hubs in the federation, providing a trusted environment where to share data and the corresponding data governance features, including data sovereignty. IDSA is a partner in the project. The project is selecting 42 experiments through three rounds of open calls, where SMEs will use the assets of the federation to solve real use cases and move their data driven products and services closest to the market. These experiments will also serve as a way to check and improve the interoperability framework based on the IDS model.

BENEFITS

To leverage the potential of European initiatives on data driven innovation, making accessible to SMEs and other small actors at regional and local level last European advances on Big Data and AI, and providing a unique environment for data driven experimentation

COMPONENTS:

Deployment of components which ensure interoperability based on trust and data sovereignty for the Federation. Implementation of IDS connectors. Implementation of Identity management components (Certification Authority and Dynamic Attribute Provisioning Service) in accordance with the IDS Reference Architecture Model.

LEARN MORE:

Q

Privacy-Aware, intelligent and Resilient Crisis Management (PAIRS)

The PAIRS research project, which has now been launched and is funded by the BMWI with 10 million euros, can forecast the effects of crisis situations and derive options for action. The goal is to develop a cross-domain platform for AI-supported crisis management. This is to model crisis scenarios based on data, forecast their consequences and design recommended courses of action for users. In this way, the system will enable companies to implement early warning systems to maintain supply chains and protect overall productivity. With all of this, sovereign access to the required data is guaranteed by building upon the IDS & GAIA-X standards. With this, the solution will be able to connect to existing Data Spaces as well as to build up new ones.

BENEFITS:

Improved crisis resilience.
Data based and AI-supported crisis management.
Cross-domain data bases based on secure IDS & GAIA-X standards.
Applications open: Participate now and shape the final product.

COMPONENTS:

IDS Broker
IDS Connector
IDS Clearing House
IDS App Provider
IDS Data Apps

LEARN MORE:

Q

Light Commercial Vehicles

WITTE Automotive | Mercedes-Benz | truzzt dataspaces | PlanB | pi-lar

The key goal of the use case is the digitalization of the customary purpose of light commercial vehicles (LCV). This will include turning equipped LCV's into participants of an IDS-powered data-economy by leveraging available data from multiple source, execute pre-defined and use case-specific algorithms and offer the computed results back to the data economy. Parts of the solution will be: 1) Deliver an IDS-compliant control unit as edge device in light commercial vehicles and 2) orchestrate a data and application framework to download and execute use case-specific application on the edge device. IDS helps in two ways: enable an easy scalability across multiple data produces and data consumers in light of European data values (sovereignty, transparency, control).

BENEFITS:

As of today, connected commercial vehicles only focus on telemetry and environmental data. Our solution will allow commercial fleets to fully digitalize the LCV within its digital process chain.

COMPONENTS:

Connector, Broker
DAPS, Billing, Clearing
AppStore

Links:

The Data Spaces Radar #3

Q

Data Sharing Coalition - Green Loans

Data Sharing Coalition

In this use case, the consumer will be enabled to use their energy data to receive support with making their house more sustainable. This support can range from sustainability advice to a favourable “Green Loan” for investments in energy saving measures (e.g. heat pumps or solar cells). The consumer shares data on his or her energy consumption with an intermediary and/or loan provider, who in turn is able to assess potential savings from certain energy saving measures. This can be standalone advice but can also be incorporated in advice on a loan to finance these energy saving measures.

This use case gives the consumer more control over their energy data, as they can decide to use their data to access advice or attractive financial value propositions. With their new “green loans” and input for sustainability advice, financial institutes are able to support the transition to a more sustainable society.

BENEFITS:

Intelligent Customer Support
Contributing to Energy Sustainability

LEARN MORE:

Q

Mobilithek

BMDV | BASt

CHALLENGE:

Digitization is driving new mobility concepts. Traffic and mobility data are becoming the raw material for multimodality, automated and connected driving, and other future solutions. The Mobilithek is right in the middle of the action.

SUCCESS:

Whenever you aim to provide or find high quality mobility data in Germany, you can hardly get around the Mobilithek. As neutral G2B and B2B platform the Mobilithek offers suppliers and users of mobility to share, search and subscribe to mobility-relevant online data.

With its defined standards for data exchange – among others based on IDS components – the Mobilithek offers nation’s biggest volume of information on traffic flows, traffic jams, road works, mobility options, parking facilities and more.

The Mobilithek is continuously working to make as much mobility data as possible accessible, across different means of transport, network elements and actors. This includes mobility data that is offered parallelly on other data portals in Germany, e.g. geoportal.de, mCLOUD.de, MDM, open-data-oepnv.de. Such parallel data offers will gradually be made visible on the Mobilithek as well. The evolution of the Mobilithek also will lead to an alignment with the Mobility Data Space (MDS) (link to previous posts) which will grant data sovereignty for Mobilithek users beyond the border of the platform and open up the entire Mobilithek to participants of MDS.

BENEFITS:

Better traffic management through exchange of traffic data between different road and infrastructure operators
Noticeable relief due to low organizational effort
High transparency and security through unified standards
High degree of dissemination of data in end-user devices through easy access for service providers
Improved business opportunities through easy access to the market for mobility data
New research impetus through broad, easily available data supply

FUTURE COMPONENTS:

IDS Connector
Metadata Catalouge
Data App Store
Domain Vocabularies

LEARN MORE:

Q

Würth C-Part Supply

Würth

The transformation of the existing IT infrastructure to an event- and microservice-based software architecture involves a great deal of effort and also risks, since the transformation must take place in parallel with ongoing operations. The entire business logic (at least on the customer side) and thus the control of functions and processes must be mapped in microservices and orchestrated to form the overall service.

SOLUTION:

Moving to the technical platform considering the framework, rules and reference architectures of IDS, Gaia-X and Silicon Economy.
Successive implementation of individual icons in web services, initially on a Fraunhofer IML test infrastructure (Kubernetes cluster for orchestrating microservices encapsulated in application containers).
Implementation of a tool for the orchestration of web services control for the execution or support of logistical processes and services.
Acquiring and building own infrastructure or renting cloud infrastructure.

BENEFITS:

For Würth, this presents an opportunity to install and establish a modern digital infrastructure with the corresponding services that will enable the future-proof, flexible, scalable and sustainable provision of services in the platform economy.

Many companies in the economy are facing a similar (technical) transformation step. Würth can be a role model company here and offer a blueprint for other companies through the derived procedures for implementation, the experience with regard to challenges and best practice.

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The Data Spaces Radar #3

Q

Defense Data Space

TNO | CGI | Department of Defense

CHALLENGE:

During deployments, it is critical that Defense can share critical up-to-date information with aid agencies, local authorities, and other civilian parties. However, these partners are not part of the secure defense network.
FEDICE - an acronym for Federated Digital Collaboration Environment - ensures that Defense and its partners can continue to share information digitally in a simple, manageable, and secure way.

SUCCESS:

TNO and CGI have been working together for the Department of Defense on this NTP (National Technology Project) for the past two years. They have developed an intelligent platform for information management in federations. The platform enables rapid ad hoc collaboration with aid organizations and other partners while keeping the data at the source. FEDICE supports the sharing of information as needed.
Throughout all of this, the confidentiality of information is taken into account to ensure that data does not get to the wrong places. In addition, logging makes it possible to track which data was released at what time and in which version. The prototype developed was successfully tested earlier this year during a large-scale exercise by the 13th Light Brigade of the Royal Netherlands Army. It has demonstrably made a good step from theory to practice.

BENEFITS:

Secure data exchange with non-military entities.

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Q

HEALTH-X dataLOFT

CHALLENGE:

The health sector is highly regulated and health data is considered to be worthy of special protection. Most of the data from the first and second health domains are locked in proprietary systems that significantly hinder the pooling and secondary use of health data. In addition to a centrally controlled collection of health data, as in China, or a largely libertarian, economically designed consolidation along the lines of the U.S. model, there is scope for Europe to design a third path, that of a citizen-centered health data space. The strategic orientation of this concept is to place citizens at the center of the provision, use and control of their own health data from the primary and secondary health markets and thereby to expand Europe's differentiating competitive advantage. Health data will be integrated into a legitimate, open and supported dataLOFT platform and made accessible according to GAIA-X standards.

SUCCESS:

The goal is to develop transparent, cloud-based health applications with leading representatives of health IT and health care. The concepts of the Medical Informatics Initiative for semantic and syntactic interoperability and regulated data use, as well as legally binding Gema-tik standards and solutions of the telematics infrastructure will be integrated for the networking of the health sectors and the integrative use of the data. dataLOFT will create an ecosystem of health applications based on the data sovereignty of citizens and patients as users and donors of health data and thus contribute to a broad acceptance and high economic relevance of dataLOFT.

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The Data Spaces Radar #3

Q

GAIA-X - MERLOT

imc | AWSI | edu-sense | HKA | HPI | IBM | IDSA | 1&1 Ionos | iServ | Schülerkarriere | TUK

CHALLENGE:

The digitization of education is intended to improve educational opportunities and make them fairer. However, in order to identify individual educational needs through algorithms, for example, extensive personal data requiring a high degree of protection (e.g., educational path, goals) is required, which must not be digitally processed because of threats to fundamental rights. The Corona Crisis urgently calls for a solution to this contradiction.

SUCCESS:

The goal of the project is to create specially protected educational data spaces, including services, which are available via marketplaces. To establish data sovereignty, the services will be certified according to their compliant data use and provision. Interoperability of these will be ensured by means of business model interfaces. Existing services will be brought into the project and adapted to conform to the marketplace and educational data space. The added value of the project and the underlying Gaia-x infrastructure will be demonstrated by means of several application examples. The implemented services will be linked to data-secure AI-supported digital assistants that support learners in a data-supervised manner in career orientation and career planning.

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The Data Spaces Radar #3

Q

KI Marktplatz [AI Marketplace]

CHALLENGE:

In the digitized world, data is generated permanently and often collected quite automatically. This is a good breeding ground for the applications of artificial intelligence (AI), which can collect unstructured data, organize it and analyze it independently.

SUCCESS:

The AI Marketplace is a digital marketplace for AI applications in the product development process. In a nutshell: The platform brings together AI experts, solution providers and manufacturing companies, fosters collaborative innovation and builds on existing infrastructure to provide the users with essential tools for the development of innovative AI solutions.

To continuously improve AI applications and adapt them to customer needs, AI Marketplace also offers a protected data space for development and test of data on the platform. To guarantee data sovereignty the marketplace relies on an established global standard – the International Data Spaces standard – and forms the basis for a fair cooperation.

BENEFITS:

Access to customers or the necessary domain knowledge
Promoting developments of new AI solutions
Promoting the SME sector to make artificial intelligence attractive

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Q

Wind Energy Generation Data Space

ATTEN2 | Tekniker

CHALLENGE:

A very important aspect of the competitiveness in the wind farms is the maintenance of all the components of the wind turbine. Only wind farm developers and wind turbine manufacturers (OEMs) have access to data collected from operating wind turbines and are therefore the only actors currently working on extracting added value from data at the "top of the value chain". Therefore, most European wind turbine component suppliers, engineering companies or ICT companies cannot obtain, manage, analyse, and learn from the data produced by wind turbines in operation, thus missing the opportunity to improve their competitiveness.

SUCCESS:

The use case shows how the adoption of the IDSA Architecture boost the exchange of the data monitored by the sensors installed in wind turbines, which belong to the wind farm owner and the OEM, with other interested third parties such as technology and component suppliers, as secure data exchange and data sovereignty is guaranteed.

Furthermore, it is also shown how this data sharing enables added value creation through information fusion. The deployment of the solution combines edge processing with the cloud demonstrating its applicability in wind turbine plants.

BENEFITS:

A deeper understanding of the technical characteristics and performance of the wind turbines' critical systems and components.
Developing a highly skilled and competitive supply chain
Less investment in data analysis systems thanks to the collaboration and support of specialized suppliers with in-depth knowledge of the technical characteristics and performance of the components supplied

LEARN MORE:

IDSA Implementation Partner Tekniker: Show Expertise
The Data Spaces Radar #3

Q

MyData for Cities

1001 Lakes | Vastuu Group | City of Helsinki | Open and Agile Smart Cities | MyData Global

CHALLENGE:

Citizen data is a key element in providing human-centric public services. MyData for Cities explores the mechanisms for personal data protection, transparency, and trust when sharing personal data between cities. These capabilities are a key part of the digital transformation journey of cities worldwide.

SUCCESS:

We provide MyData Operator functionality for authentication, consent management and data usage logging that acts as a data intermediary. This will also be a pilot on how MyData Operator functionalities can be implemented with IDS Solutions.

BENEFITS:

Transparency and control for citizen in the usage of their personal data related to smart city services.

COMPONENTS:

We plan to make use an IDS connector that implements the MyData for Cities functionality, and is compatible with the OASC MIM4 specification.

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The Data Spaces Radar #3

Q

City Dataspace

Wuppertal | Solingen | Remscheid | APTIV

CHALLENGE:

Smart cities are becoming more and more of a reality every day. While the first autonomous vehicles are making their way into cities on a trial basis, parking lots can already report whether they are occupied or free, sensors monitor air quality, and multimodal apps also enable people to get around using different mobility solutions. What all these applications have in common is that they are based on data generated and managed in different places by different actors. However, applications based on Open and Urban Data in particular have the disadvantage that they are either built specifically for exactly one city and then only work there or have to be adapted for other cities at great expense. The reason for this is that today's Open & Urban Data portals provide data sets in different formats, models and schemas. In addition to these syntactic differences, there are also semantic differences, such as different metrics or geo-reference systems. This is exactly what makes it costly for app developers to develop solutions that work outside of a municipality.

The City Dataspace focuses on the challenge of increasing and enabling the usability of Smart City relevant Open and Urban data using the example of mobility and geodata across municipal boundaries.

SUCCESS:

The City Dataspace aims to enable the data-driven smart city of tomorrow by enabling compatibility of heterogeneous open and urban data from different municipalities together with data from other stakeholders across city boundaries. For this purpose, the City Dataspace relies on the established semantic technologies, combined with new innovative concepts to simplify the use of the required technologies. These concepts are intended to make it possible to provide semantically annotated data in an interoperable way with little effort. This interoperability should enable app developers to develop an app once and roll it out to a large number of municipalities using the City Dataspace. Conversely, the City Dataspace enables municipalities to participate in existing apps just by making their data available.

BENEFITS:

The City Dataspace aims to enable the data-driven smart city of tomorrow by enabling compatibility of heterogeneous open and urban data from different municipalities together with data from other stakeholders across city boundaries.

COMPONENTS:

The City Dataspace is a Knowledge Graph-based Data Management platform that allows access to batch and streaming data using different kinds of data connectors. As IDS components, the city data space will especially focus on using IDS Connectors and IDS Metadata Broker.

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The Data Spaces Radar #3

Q

Plastic Domain Data Space - Market 4.0

CHALLENGE:

In the context of B2B relationships, digital marketplaces are emerging to manage relations between equipment suppliers and their customers. But what about data privacy in such platforms?
For the plastic domain, marketplaces where data sovereignty is the rule is an opportunity to guarantee trusted exchange between suppliers and customers for manufacturing equipment purchases.
By providing an environment that gives you a full control of access and usage of private data, it is possible to integrate value services and applications directly on the platform.
This is the focus of the plastic domain in the context of the Market 4.0 Project

SUCCESS:

The MARKET 4.0 Plastic Domain Data Space uses IDS Reference Architecture Model (RAM) to exchange data in the context of a marketplace. App and services are proposed all along the value chain of a plastic product development. A solution for data exchange has been developed for ordering and specific data for simulation and manufacturing.

BENEFITS:

Enhance trusted data sharing in B2B transaction
Enhance data control usage of the data flow

COMPONENTS:

IDS Connector

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The Data Spaces Radar #3

Q

MARKET4.0 Marketplace

CHALLENGE:

The MARKET4.0 platform addresses the need of sharing private information between suppliers (machine specification, CAD files) and their potential customers (product CAD files) to facilitate online procurement of production equipment and production services.

SUCCESS:

The MARKET4.0 platform allows the use of IDS-enabled apps to create trust between suppliers and customers in sharing information, thus making online procurement of production equipment and services possible. The solution are validated in context of three discreet domains: Metal Processing, Plastics Processing, and High Tech.

BENEFITS

The MARKET4.0 platform allows direct interaction among the different sides to improve the sales power of production equipment SMEs. Additionally, it aims to shorten the time for procurement of new equipment.

COMPONENTS:

IDS Connector
IDS Clearing House
IDS Metadata Broker
Special Applications
Central IDS Compliant Platform

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The Dada Space Radar #3

Q

truzzt Port

CHALLENGE:

Create a digital business and make it sustainable into the future.
Digitize your business models and become an active member of the data economy.

SUCCESS:

You can digitize your company and participate in a data economy based on European values

Enabled by a standard that‘s accepted accross industries (IDSA) and all the necessary legal and commercial frameworks (Gaia-X + data spaces).

So what is it that we do ecactly?

We work with open source software und auf der Basis voased on European Standards.

Here is what we offer:

- Consulting for linking business models to technical standards

- Coaching for compliance with technical standards

- Support in implementation and integration

- Holistic Moderation

Simple and safe in six steps:

1. Assisted business development

2. Linking business models with technology

3. Verified process for registration & sign-in

4. Applying communication tools and data tools in the connector

5. Leveling up by fulfilling all requirements

6. Automated business processes

Sounds complicated?

We know it‘s difficult, to apply both IDSA and Gaia-X etc. in your company.

But it can‘t be helped, it can‘be avoided any longer. The future of your company depends on a successful digitization.

But it isn’t!

There‘s more to us than technology!

We will support you and accompany you on the first steps:

We will analyze your business challenges and link them to both the technical standard and the ecosystem framework to build the perfect digitization.

BENEFITS

We bring companies together who want to meet the challenge of digitization. We support them from their first steps in digitizing business models on the basis of standards and frameworks to day-to-day operations. A framework and a technical standard alone are not enough - they bring about scaling and future-proofing of investments. What is missing is a common Go2Market, easy consumability of the technology and a driving force for the formation of digital communities/partnerships for a data business at eye level.

COMPONENTS:

Connector
ParIS
DAPS
Broker
Clearing House

LEARN MORE:

Q

Orbiter/idento.one

truzzt | Verifeye

CHALLENGE:

Self-sovereignidentity (SSI) is an approach to digital identity that gives individuals control of their digital identities.

SUCCESS:

What is idento.one?

Secure storage and sharing of identities and data in the same way as we are used to from our financial accounts.

Personal Data Banking with portable identities.

A consumer-centricdata ecosystem:

where the data provider takes back control of the data in a system designed to comply with the strongest GDPR and ePrivacy regulations.

Data sharing made easy with truzzt box & IDS connectors:

idento.one uses IDS connectors provided by your personal truzzt box, enabling you to be part of the new European data-sharing infrastructure -GAIA-X. Data sovereignty made in Europe!

GDPR compliance:

We secure GDPR compliance for your data.idento.oneis developed in accordance with the IDS reference architecture and complies with the strong GDPR and ePrivacyrequirements.

GDPR-compliant by design.

idento.one: your digital ID management

•Verified digital identity on your mobile phone

•Free configurable personal profiles

•GUI for management of personal data

•Consent manager to share data with third parties

•Statement of data transactionsVerified, digital identities

•Secure, decentralized data storage

•GUI for management of data-and data transactions

•IDS-certified connectors

idento.one: your dataspace

A system for secure, standardized and GDPR-compliant storage and sharing of your data with verified counterparts in the data economy.

BENEFITS

Trust –the key value:

Verified, digital identities means trust in the digital economy.
idento.one provides verified, digital identities, guaranteeing the existence of every user’s identity.
idento.one provides trust to the digital economy.

COMPONENTS:

IDS Connectors

LEARN MORE:

Data Spaces Radar #3

Q

truzzt box

CHALLENGE:

You create your own new internet with the secure data space of your truzzt box.

Your data is inextricably linked to your terms of use. With data sovereignty, you and only you decide what happens to your data. Traceability lets you see what happens to your data. The trust anchor ensures that only verified partners can access your data. Data spaces prevent data theft and data loss because your data is always stored distributed and encrypted.

SUCCESS:

Your truzzt box:

Sovereign.

In the truzzt box your documents are always available for you. Everywhere. With the truzzt box, you can see them all at a glance and have access to them at your fingertips. Not even truzzt has access to your personal documents. You are always in control. That’s what we call European data sovereignty.

Transparent. Encrypted.

As a verified user of your truzzt box you always know who you are dealing with. Create trust by security and by knowing who’s at the other end. You don't have to be afraid of data theft anymore. You only buy from real, verified merchants. Your personal data will always remain encrypted and safe in your truzzt box.

Self-learning. Automated.

The truzzt box is your intelligent personal assistant and will automatically adapt to your usage with its artificial intelligence. On all your devices.

truzzt.control: idento.one

Simple.

As a verified user with idento.one, you can manage your digital identity from anywhere and on any device. With your ID card, with your driver’s license and with any other documents you might need.

Anywhere.

Your idento.one dashboard gives you an overview of the digital services you use, from online banking to your social networks. You alone decide which service can access your data, when and how. Anywhere, even in your car.

Everything under control.

You keep control of your data. Only you can share them – with whom you want to and when you want to.

truzzt.connect: Pocket Space Computing

Scalable.

Never again pay for storage space you don’t need. With Pocket Space Computing, you always get exactly the right performance – anywhere in the world, anytime. Infinitely scalable.

Configurable.

You just put your own truzzt box together according to your needs. It's best to start with our standard box. Extensions and changes are possible at any time. What is not needed, will not be charged.

Future-proof.

You won’t need an extra app for everything. Pocket Space Computing means that the necessary connections and programs are there for you. In the future, you may no longer need to buy a new device, but you will have a virtual computer on the web. Accessible from anywhere.

BENEFITS:

We reinvent the internet. In 2020, we had many discussions with our founders and with new partners to set the course for truzzt box as the first functioning application that works according to DIN SPEC 27070 and according to the architecture model of the International Data Spaces Association. Your truzzt box. Your data space in the new internet.

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The Data Spaces Radar #3

Technical Expertise

Tekniker has been involved in different R&D projects where the IDSA ecosystem has been adopted in sectors such as industry and energy. As a result, Tekniker provides technical support to understand and adopt the IDSA ecosystem in distributed infrastructures through the deployment of the different components that have been developed following the IDSA-RAM: IDS Connector, Identity Provider, Broker, Clearing House, etc.

In addition, Tekniker through its involvement in innovation fields such as semantic and usage control technologies, provide a more detailed technical support regarding the adoption of the IDSA Information Model and the provision of domain-dependent vocabularies through the Vocabulary Provider as key factors to provide interoperability as well as the implementation of usage control technologies to gran data sovereignty.

Contact Details

Gonzalo Gil

gonzalo.gil@tekniker.es

Q

Logistics and Product Life Cycle Management

Fraunhofer Institutes IML, ISST, IOSB, FIT, AISEC, IAIS

CHALLENGE:

Data exchange as a basic requirement for collaborative condition monitoring.

SUCCESS:

Use of the IDS infrastructure to build up a common database that allows valid analysis processes.

BENEFITS

The exchange of machine data makes it possible to carry out condition analyses that an individual company would not have been able to do due to the lack of data.

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The Data Spaces Radar #3

Business Expertise

Engineering has experience in the design and deployment of IDSA Data Spaces, thanks to the expertise gained in several research projects (at European and national level) for the adoption of IDS-based solutions aiming to address (and catch) business opportunities.

Technical Expertise

Engineering has designed some IDS components, playing a pioneering role in the releasing of open source software in the ecosystem, lowering the barriers for approaching and adopting the data sovereignty in companies. Engineering has attended (actively) several Integration Camp and Plugfest events in order to speed up the integration and the compatibility between components.

Contact Details

Angelo Marguglio
angelo.marguglio@eng.it

Introduction

sovity believes in sovereign data exchange and makes the access to data spaces based on IDS technology available for every company.

Business Expertise

We have been part of data space initiatives and IDS since day one. sovity supports companies by IDS technology as managed service to enable every player in making use of sovereign data exchange: Data-Sovereignty-as-a-Service. This includes the design of use cases and its architectures, the implementation of a data space and the management of IDS components. sovity is involved in various. Thus, we are making IDS accessible easily and believe the data exchange should become commodity, so you as company can focus on the use case value on top.

Technical Expertise

We are part of various initiatives and projects around data spaces and our products follow always the latest technological principles. sovity provides all different IDS components as manages service. Connect to data spaces and share your data with the Connector-as-a-Service or build your own data space with Data-Space-as-a-Service. We will guide you in integrating and using IDS end-to-end to leverage always on the latest open-source software.

Contact Details

Sebastian Kleff
sebastian.kleff@sovity.de

Website
sovity.de

Q

PwC Data Ecosystem

PwC

PwC has established a Data Ecosystem which is easy to use and enables to build data-driven products and services efficiently and effectively. The Data Ecosystem delivers a unique value to both data providers and data consumers with security and trust. The PwC Data Ecosystem is a collection of infrastructure, analytics and applications used to not only capture and analyze data but also build data-driven services and products. The efficient development and deployment of internal and external data-enabled services (SaaS) and data-driven applications is based on expertise and technical requirements like: Future Readiness & Orientation Automation & Scalability Data Driven Insights & Decisions Continuous Learning and Improvement Data Ownership Enablement & Collaboration Customer Centricity The Data Ecosystem facilitates reusable and industry agnostic components for direct consumption of data.

CHALLENGE:

PwC addresses the need for an infrastructure to connect and make use of data in an easy and scalable way for better fact-based decision-making with trust, security and governance; this will only be achieved via the PwC Data Ecosystem.

SUCCESS:

The PwC Data Ecosystem drives a data mesh approach based on a modern, distributed architecture for better predictions/forecasting etc. It makes data accessible, available, discoverable, secure, and interoperable. With this approach, PwC enables industry-specific trusted spaces where stakeholders can define, access and control their own data products.

BENEFITS:

Access to internal and external data offerings.
Easy and scalable integration to different data platforms and data spaces.
Compliance with GDPR and international standards.
As a regulated firm, PwC has a vast experience of handling sensitive data in a secure and compliant way in accordance with regulations and professional laws.
Trust and security are the key drivers of PwC Data Ecosystem

COMPONENTS:

PwC plan to make use of IDS components within the PwC Data Ecosystem in the near future and get certified with IDSA.

Links:

The Data Spaces Radar #3

Q

DataPorts

CHALLENGE:

Although many projects/initiatives have dealt and/or are dealing with developing data platforms architectures in diversified application domains, not many projects have addressed integration in port environments with the possibility of including cognitive services/applications and extending/federating the platform to whole transportation routes covering whole Europe. Lack of interoperable, scalable, reliable data platforms causes major technological and business issues such as the impossibility to plug non-interoperable data sources into heterogeneous data platforms, the impossibility to develop applications to exploit heterogeneous data in homogeneous and/or cross domains, slowness of data technology introduction at a large-scale, discouragement in adopting data sharing technology, increase of costs, scarce reusability of data, user dissatisfaction, and lack of unified data governance mechanisms.

SUCCESS:

DataPorts aims to design, develop, set-up and operate a data platform for the trusted, secure and reliable data sharing with IDS connectors and trading among the actors operating in the diverse supply chains involved in the seaports, also enabling the connection with other stakeholders in the logistics supply chain.

BENEFITS

The adoption and use of this Data Platform by existing connected / digital ports will imply their transition to actual cognitive ports, taking real advantage of the huge amount of data produced by the stakeholders and opening the way to new capabilities: Real-time control of operations; Streamlined decision making; Accurate prediction of future events and situations; Prescriptive analytics.

COMPONENTS

In the context of the DataPorts project, an industrial data platform (cognitive ports data platform) has been designed and implemented that: 1. Connects to different digital infrastructures currently existing in digital seaports, enabling the interconnection of a wide variety of systems into a tightly integrated ecosystem, 2. Sets the policies for a trusted and reliable data sharing and trading based on data owners’ rules and offering a clear value proposition, and 3. Leverages on the data collected to provide advanced data analytics services based on which the different actors in the port value chain cloud develop novel AI and cognitive applications. In the context of the DataPorts platform, to realize data sharing and data exchange, two main approaches are considered: • Data is stored off-chain: Generally, in this approach, we follow the concept of the International Data Spaces Association (IDSA) reference architecture model. In a nutshell, we consider the P2P data exchange between the data owners and data consumers through the IDSA connectors. To ensure the security and privacy aspects, blockchain manages consent of access to data. Smart contracts decide if a particular access to data is allowed concerning the invoker’s credentials and the specification of access rules for the data. • Data is stored on-chain (blockchain for shared data): Blockchain platform records transactions related to shared data and processes of all participants in a business network. For instance, cold chains alarms of a container for verification of its state such as if conditions have been compromised, allows everybody in the network to be aware of the event and act upon it. This approach in fact ensures verifiable and immutable information on shared data through the entire chain to all business network participants, serving as a single source of truth and providing transparency and a not-repudiation process. In the first approach, the data (sovereign data) is kept on the owner’s premises. The metadata for sovereign data is published to the broker (IDSA broker). A data consumer needs to understand whether the data he seeks is a shared data stored in Blockchain or is stored by a data owner. To clarify this, the data consumer must access the IDSA broker, and in case the data is sovereign data, data sharing rules are used to determine if a data access is allowed. Eventually, in case of a legitimate data access, a peer-to-peer secure communication with data owner to obtain data is initialized through IDSA connectors.

LEARN MORE:

The Data Spaces Radar #3

Q

H2 Metaverse

ARENA-INNOVATION | CODE_n

CHALLENGE:

The latest draft of the "Act to Accelerate the Use of Liquefied Natural Gas” („Gesetzes zur Beschleunigung des Einsatzes verflüssigten Erdgases“) sees a significant change in reallocation of LNG import terminals for the import of hydrogen. In the draft, it is no longer mandatory that green hydrogen or its derivatives must replace the fossil fuel LNG. Now there is talk of "climate-neutral hydrogen and derivatives". This means that hydrogen based on natural gas, of which CO2 is fully captured and not released into the atmosphere can also be used. With blue hydrogen, the CO2 would be stored underground (CCS). In the case of turquoise hydrogen, it would be done using the – at large-scale not yet tested – methane pyrolysis converted into solid matter. In both cases it would have to be ensured that during extraction and transport of the natural gas no methane escapes. In theory, even hydrogen falls into this category, that would be produced by electrolysis using nuclear power.

SUCCESS:

A project draft (Projektskizze) has already been submitted to BMBF under the acronym "h2republic". The goal is that a new "H2 Data Space" for sovereign data exchange shall be created, which shall stand at the basis of the "H2 Metaverse" platform. Due to the technical complexity of the "H2 Data Space", it should remain hidden to the eye of the conventional "H2 Metaverse" platform user. Hence, the "H2 Data Space" shall be the interface to the programmers and smart service providers, whereas the "H2 Metaverse" shall be the interface to the conventional Fuel Cells and Hydrogen (FCH) players by using predefined smart services according to their requirements. Such smart federated services can/shall be the implementation of standardized Digital Twins for ensuring cross-sectoral interoperability along the entire value chain and for depicting the entire physical hydrogen world into the digital H2 Metaverse, which at the end should become a de-facto standard for the entire gas domain.

BENEFITS

Fuel Cells and Hydrogen (FCH) technologies are defined as sector coupling technologies for coupling the energy and mobility sector together. Hence, it is obvious, that the newly created "H2 Data Space" will link up the already existing energy and mobility data spaces and of course other as well. On the other hand, in order to ensure sovereign data exchange and interoperability, it will try to digitally interconnect all FCH clusters worldwide. In order to prevent lock-in effects, the H2 Metaverse shall not belong to one person or entity but to the whole users and be created by them while being at the same time free of charge. With regard to the business model, this shall be realized via company participation (Gesellschaftsbeteiligung) with all the 16 German states (Bundesländer), similar to the already existing company participation of the state of Baden-Wuerttemberg to the "mobility data space".

COMPONENTS:

The H2 Metaverse platform shall be similar to the Catena-X platform in terms of visibility. For this all the necessary IDS components, like for example the IDS/Eclipse Connector and so on shall be used.

LEARN MORE:

The Data Spaces Radar #3

Q

GATE Urban Data Space

Sofia Municipality | SofiaPlan, National Statistical Institute | Executive Environment Agency | Meteorological Institute | Urban Mobility Centre

CHALLENGE:

GATE Urban Data Space focuses on the challenge of accelerating and improving the usability of city relevant public and private data,, such as for example air quality data, mobility data, transport data, infrastructure data, spatial data, demographics data.

The aim is to realize a data space allowing for the collection, processing, aggregation and sharing of data for the city and the region, based on the understanding that data is also key to informed decision-making, a valuable resource for innovation and development and a prerequisite for building smart urban and regional decisions.

SUCCESS:

Public and private data, as well as citizens data on key activities such as urban and air cleanliness, mobility, construction, energy efficiency, etc., will be integrated, which is crucial not only to ensure better use of resources and fewer emissions but also to provide for sustainability through construction optimization, smarter urban transport, modernized water and waste treatment facilities and more efficient ways to use energy in buildings.

GATE Urban Data Space will enable the creation of different Use Cases, among which:

- 3D City Models or Digital Twins to provide for comprehensive digital representation of the city at all levels and simulation of integrated processes for improved decision making;

- Parametric Urban Planning and Design to provide for analysis and recommendations for optimized positioning and accessibility of social infrastructure such as kindergardens, schools, hospitals, green areas, etc.;

- Urban Environment Analysis and Simulation, including spatial-temporal air quality analysis, identification of the main sources of pollution and wind and air quality simulation;

- Solar Potential and Energy Footprint of the Buildings analysis

GATE Urban Data Space will fully comply with the IDS RAM and implement the IDS components specified.

BENEFITS:

Data users from research, industry and public administration can use the provided by the Urban Data Space high quality data sets, aggregated data sets and data models in various scenarios and economic and social domains (as well as cross domains) and extract value from it. Data driven application and service providers can utilize the Data Space platform and services to build applications by exploiting the provided open APIs and building upon the Data as a Service model. Researchers, innovative startups and SMEs and bigger companies using the Urban Data Space for their developments and test-before-invest activities are potential customers of the training and consultancy related to IDSA technologies adoption acceleration. Various businesses and public administration representatives are the target group for consultancy/training related to the elaboration of new data sharing driven use cases and business models, as well as for training on data sharing principles. Partners in membership scheme can use the Urban Data Space (together with GATE researchers) for innovation ideation, and technology co-experiments for industry prototyping, PoC, and demonstrators. Research partners can utilize the Data Space in collaborative and contract research projects using it for design, experimenting, and testing in their project activities.

COMPONENTS:

IDS Connector - to connect to the different data providers
IDS Broker
IDS App Store
Identity Management
Clearing House

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The Data Spaces Radar #3

Q

Resilience and Sustainability Data Space

ADVANEO

CHALLENGE:

News about evolving or new global crises (e.g. pandemic, war, disasters…) have become “the new normal” over the recent years. In our connected world, dampening their effects, adapting and becoming more resilient and thus sustainable, can be improved vastly, by building shared solutions along these connections. And the backbone of these connections is data. As prominent use cases the PAIRS-and the SPELL-Plattform will be part of the Resilience and Sustainability Dataspace. Especially the PAIRS-Plattform inside Resilience and Sustainability Data Space will allow for transparency of the supply chain by early identification of crisis and their effects on supply and production conditions for each individual participant. Furthermore the participants will be aided with iteratively improved recommendations for measures to manage the crisis effects on their organization.

But finding and using data in a sovereign way is a general core challenge in any data driven project.

So how can interested parties easily find services to become more resilient? How can they be sure that their data privacy and sovereignty is guaranteed in such an open ecosystem? And how can creators of such services find initial their initial partners and start building the required networks?

SUCCESS:

The answer to the above questions lies in established and independently certifiable standards for sovereign data sharing and the usage of services – like IDSA and GAIA-X. The Resilience and Sustainability Data Space is built on these standards.

These standards are built into a unified system, which enables offering, finding and accessing relevant data sources as well as resilient and sustainability services.

The IDS solution, especially the corresponding connectors, as basic technology inside the Resilience and Sustainability Dataspace facilitate the necessary sovereign data exchange.

BENEFITS

Companies and organizations as users of the Resilience and Sustainability Dataspace benefit from our data-based approach of a digital infrastructure to integrate decentralized information in a protected virtual space. With this infrastructure users are either able to apply already implemented services or to develop new services supporting our users in order to gain new insights and knowledge about. The variety of datasources which are part of the Resilience and Sustainability Dataspace also facilitates cross-over domain approaches for services as also will be implemented inside the PAIRS-Plattform. Especially the supply chain use case as a cross-over domain service utilizes the different data sources coming for different . By additional search and find functionalities inside the Resilience and Sustainability Dataspace partners can connect to build research projects, exchange in a sovereign way data and make use of the existing dataspace infrastructure. In the end, athis enables users to seamlessly build their own trustworthy resilience and sustainability ecosystems.

COMPONENTS

The Resilience and Sustainability Data Space is built completely on the standards of IDSA and GAIA-X. It is run on the technical infrastructure of the Advaneo Data Space Solutions. This Data Space building block product suite offers ready-to-go integrated IDSA components like: · IDS Broker · IDS Connector · IDS Clearing House · IDS App Provider On top of this, it integrates Advaneos Trusted Data Hub: a proprietary privacy-preserving multi-party-computation solution. In an even more secured way than the standard IDSA Connector-implementation, it allows multiple parties to jointly use even sensitive data in sharing use cases without ever revealing the raw data to each other.

Q

Qu4lity - Manufacturing Process Anomaly Detection for Capital Goods in Automotive and Railway Sectors

MONDRAGON

CHALLENGE:

Data Sovereignty for collaboration between industrial partners, OEMs, and technology providers in manufacturing value chain for production and detection of anomalies and deviations.

SUCCESS:

To demonstrate successful data sovereignty for critical production data to mitigate trust issues between unknown partners.

BENEFITS:

Stablish a secure Industrial Value Chain for Anomalies and Deviations in Hot-Stamping and Cutting/Grinding Machinery processes
Full control over data, their digital identities, and the use of data
Set-up new Services Business Models - Interoperability and Semantic between heterogenous industrial scenarios and assets.
Federated Data Analytics and Artificial Intelligence Operations

COMPONENTS:

Building Blocks used:

Interoperability: Data-Models & Format associated with AAS, Data Exchange APIs using IDSA connectors

Trust: Access & Usage Control and Trusted Exchange thanks to IDSA connector Data

Value: Metadata has been set up.

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The Data Spaces Radar #3

Q

Brainport Industries Smart Factory

Brainport Industries | TNO

CHALLENGE:

Companies want to build a flexible production environment. Controlled access to data is needed to build new Smart Industry tools, such as dashboard and smart algorithms. This needs to be shared between different companies, technology service providers and machines, sensors and equipment.

SUCCESS:

Data is shared in a controlled way through an IDS Connector. The IDS Broker makes data sources findable across the data space. Through a dedicated Asset Administration Shell (AAS) DataApp, data of different manufacturing assets can be exchanged in a standardized way.

BENEFITS:

It enables the creation of Smart Industry solutions for a long-tail of manufacturing companies. This in turn increases the market potential for smart solutions. For manufacturing companies the cost of integration is significantly reduced.

COMPONENTS:

TNO IDS Connector v2

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The Data Spaces Radar #3

Q

Medical Data Space MedDS

Fraunhofer ITMP | Fraunhofer FIT | Fraunhofer IOSB

The Medical Data Space is a trustworthy infrastructure for the secure exchange of health data between distributed players (patient, doctor, clinic, relatives, service providers, manufacturers, etc.). This is intended to improve prevention, care, diagnosis and treatment processes and enable innovative health-promoting business models. The use of data can be controlled in a user-friendly, transparent and privacy-compliant manner. Modern algorithms help in the targeted use of data.

COMPONENTS:

IDS Connectors
IDS Broker

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Q

AluTrace

Fraunhofer EMI | Fraunhofer IWM | fem

CHALLENGE:

Due to the great freedom of design, additive manufacturing (AM) offers enormous potential for lightweight construction. In order to harness this potential, it is crucial to integrate knowledge between the individual stages of the AM value chain. By digitally linking AM process and product data, lightweight design and production can be further optimized in economic and ecological terms. The present use case demonstrates the added value for the lightweight potential of additively manufactured (laser powder bed fusion (LPBF)) aluminum components when decentralized material and AM process data is shared between actors via a cross-institutional data space.

In the present use case, a design engineer aims to optimize a component, originally manufactured by casting AlSi10Mg, with regard to lightweight design by means of topology optimization for AM. A process-specific topology optimization algorithm (PSTO) will provide an optimized design and also knowledge of the best suited combination of AM-machine, part orientation in build space and a heat treatment. As input for this design algorithm, decentralized data about mechanical material characteristics, AM process parameters and post-processing information such as heat or surface treatment has to be shared and linked in an automatic manner. Since the different data is provided by different actors, compliance with the FAIR data principles is paramount.

SUCCESS:

To meet this need, a data space architecture based on the International Data Spaces (IDS) reference architecture model is designed and implemented. By doing so, the very first instance of the Materials Data Space® (MDS) is created. Using the MDS in this context ensures

findability (F) of the decentralized data and their owners through the use of a broker as a virtual marketplace,
secure and automated access (A) to the data from the IT infrastructures of the institutions,
interoperability (I) in data sharing with full guarantee of data sovereignty through the use of the IDS connectors, and
the reusability (R) of the data by the PSTO based on machine- and human-understandable metadata in the form of knowledge graphs.

The knowledge graphs describe the entire process chain from additive manufacturing to mechanical testing and embed the resulting data in its context through an ontology-based process model. These semantic metadata enable the linking of data in the sense of a cross-institutional data fabric and automated data analysis for intelligent lightweight design by the design engineer.

BENEFITS:

The lightweight potential of additively manufactured components can be optimally exploited through process-specific topology optimization.
The decentralized material, process and component data are semantically linked and shared in an automatic manner while maintaining the highest data sovereignty standards.
A scalable solution for the integration of data and analysis results from the data space into the design process of lightweight components is provided.
Detailed, diverse material, process and component data for AM lightweight materials are provided in a scalable data space architecture.
Tools for digital modelling of value chains and interoperable description of data and domain knowledge have been developed.

COMPONENTS:

IDS Dataspace Connector
IDS Broker as a virtual market place
IDS Identity Provider
IDS Clearing House

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The Data Spaces Radar #3

Q

Macau-EU Cross-Border Flow of Scientific Research Data

Macau University of Science and Technology | Fraunhofer ISST

CHALLENGE:

The safe and orderly flow and governance of data has become a global issue, and the cross-border flow of data is one of the most complex sub-issue. At the outset, the existing international data cross-border flow mechanism is experiencing pressure from various aspects such as “EU-US Privacy Shield Frameworks” agreement overturned and Standard Contractual Clauses require additional “supplementary measures”, etc. Given the fact that data has become more and more important for the development of both economy and society at large, the “investigation after the fact” approach cannot meet the satisfaction of some countries or regions for security and management concerns. In addition, how the different requirements for data export in different jurisdictions apply to the same business brings huge problems to practice when data keeps flowing. In this case, Macau University of Science and Technology and the Fraunhofer ISST are respectively located in different jurisdictions. As a consequence, the cross-border flow of scientific research data involving personal information often arises in the scientific research cooperation activities between the two parties. If we transfer any kind of data in the multi-center joint scientific research activities, except for the traditional research ethics requirements, the two parties must also meet the requirements of their respective laws and regulations on the export of personal information.

SUCCESS:

In order to explore the mechanism for the safe and orderly flow of data across borders in the digital era, we can together establish a trinity of “legal regulations + management mechanism + technical assurance” model in the field of scientific research, covering the whole process of “before, during and after course”.

BENEFITS:

This has not only mark the possible and trust way to realize the purpose of data cross-border issues that needed to be addressed, but also laid a solid foundation for the future exploration in regards to this area. It is also a great opportunity to promote the development and fame of IDS in Macau and Asia.

COMPONENTS:

IDS Connector

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The Data Spaces Radar #3

Q

FA³ST ecosystem for I4.0-compliant and data-sovereign digital twins

Fraunhofer IOSB

CHALLENGE:

Due to the advancing digitalization of industrial value chain, increasingly large amounts of data are being generated in industry. Sharing data with partners in this domain, opens up new application and value propositions. This requires that the data can be interpreted across system and company boundaries, generally referred to as interoperability. The Platform Industry 4.0 proposes the Asset Administration Shell (AAS) specification for the digital represention of all assets. Additionally, the data security and data sovereignty challenges, which arise in such use-cases, are addressed by the IDS ecosystem.

SUCCESS:

By combining the AAS with the IDS, interoperability across company borders is created. Product and production data is represented in AAS digital twins and shared via IDS Connectors.

BENEFITS

The AAS can describe all kinds of products and production equipment while linking data elements to semantic descriptions. The sharing of such data enables use-cases like the Platform Industry Collaboritive Condition Monitoring use-case or the automotive network Catena-X

COMPONENTS:

Eclipse Dataspace Connector 0.0.1-milestone-4
EDC Extension for AAS 1.0.0

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The Data Spaces Radar #3

Q

Green Data Hub – DIO: Data Space Energy Transition

CHALLENGE:

Supply Chain management in the energy sector
Energy communities
Optimization of supply and demand / power grid stabilization
New data services and products for renewable energies

SUCCESS:

Combination of energy, mobile phone, weather and calendar data for a specific location to provide a planning basis for energy production
Intelligent energy distribution and storage within energy communities as well as load and demand profiles
Forecasting and optimization models (traditional as well as AI models)
Mobile batteries stabilizing the power grid
Dynamic charging management of e-cars

BENEFITS:

Optimized and lower resource consumption as well as optimized storage and distribution.

COMPONENTS:

Eclipse Data Space Connector is used as a connector.
Nexyo is used as the hub for testing in some of the Use Cases. Nexyo is conform to the european Gaia-X initiative and IDSA reference architecture as well as IDS certification. The Data Space is Gaia-X compliant.

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The Data Spaces Radar #3

Q

EuProGigant - European Production Giganet

CHALLENGE:

EuProGigant encompasses four thematic working groups working on industry-relevant, cross-company related use cases:

CO2e footprint in production engineering & manufacturing: how can estimations on energy use and CO2 footprint be created and used in the design phase by using portable data and interoperable software tools?
Component matching: how can Gaia-X principles be instrumentalized to manufacture and assemble with optimal resource use and minimal waste?
Mobile processing machines: how does the EuProGigant/Gaia-X concept work when the machine comes to the part instead of the other way around? How can large data volumes be synchronised for the autonomous planning of maintenance processes on track infrastructure?
Validation platform: how can small companies monitor machines and assemblies without having to compile a large database?

SUCCESS:

EuProGigant focuses on the Gaia-X Federation Services. EuProGigant demonstrates that an ecosystem based on Gaia-X mechanisms enables digital sovereignty, transparency and fosters interoperability to ensure a secure data and service portability. EuProGigant connects multiple edge systems, platforms and cloud services. The EuProGigant demonstrator powered by deltaDAO and Ocean protocol is based on a distributed ledger technology - try it out: https://euprogigant.portal.minimal-gaia-x.eu/.

BENEFITS

The EuProGigant business value is defined as increasing the value creation speed through dynamic, decentralized datadriven business models. The European Production Giganet allows you to choose your business partners you trust, own your data and manage the cross-company connectivity easily.

COMPONENTS

Currently EuProGigant does not use any IDS components. EuProGigant focuses on the Gaia-X Federation Services and might use the Eclipse Dataspace Connector.

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Q

Green Data Hub – DIO: Data Space Circular Economy

CHALLENGE:

The circular economy is a model of production and consumption in which existing materials and products are shared, leased, reused, repaired, refurbished and recycled for as long as possible. In this context, an intra-company, but above all also an inter-company data exchange based on decentralisation and data sovereignty is indispensable.

SUCCESS:

The Circular Economy Data Space brings together relevant stakeholders along the value chain of various materials, as well as waste management companies and research companies. Possible use case scenarios are Smart Waste, optimised waste management and recycling (e.g. increase in the reusability of materials in the textile industry, in the construction industry, for semiconductors and in the metal industry)

COMPONENTS:

Eclipse Data Space Connector is used as a connector. The Data Space is conform to the european Gaia-X initiative and IDSA reference architecture as well as IDS certification. Data Space participants are free to use other connectors that meet the above mentioned standards.

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Q

Green Data Hub – DIO: Data Space Mobility Transition

CHALLENGE:

Conventional traffic and mobility need to be converted to sustainable transport with renewable energy sources, new ways of mobility and an interconnection of different forms of individual transport and public transport. Furthermore, enormous added value can be created in the area of logistics through the interconnection of data.

SUCCESS:

The Mobility Transition Data Space brings together the most relevant stakeholders in the mobility sector. By enabling a sovereign data exchange, a sustainable mobility transition is made possible. Improved development of e-charging infrastructure, increased resilience to unexpected events in logistics, traffic management in cities, optimisation and monitoring of existing infrastructure or redistribution of public space according to needs are possible use cases.

COMPONENTS

Eclipse Data Space Connector is used as a connector. The Data Space is conform to the european Gaia-X initiative and IDSA reference architecture as well as IDS certification. Data Space participants are free to use other connectors that meet the above mentioned standards.

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Q

Green Data Hub – DIO: Data Space Tourism

CHALLENGE:

A sustainable design of the tourism landscape is indispensable for its long-term existence. The use of data makes it possible to scale tourism while taking sustainability aspsects into account. Thus, sharing data within the tourism sector, in addition to increasing value creation, enables the management of one of the most central problems of the 21st century - climate change.

SUCCESS:

The sustainable design of tomorrow's tourism is based on the exchange of data between different organisations. Accommodation providers, transport associations, lift operators, booking platforms, weather data providers and other stakeholders join forces and facilitate concrete use cases such as visitor flow management, prevention of overtourism or hotspot analyses. Furthermore, data from organisations within the tourism sector is of enormous value for other sectors, such as the energy sector or the mobility sector. The possibility to exchange data in a decentralised way while maintaining data sovereignty is a key enabling factor.

COMPONENTS

Eclipse Data Space Connector is used as a connector. The Data Space is conform to the european Gaia-X initiative and IDSA reference architecture as well as IDS certification. Data Space participants are free to use other connectors that meet the above mentioned standards.

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Q

MARKET4.0: ENTER Experiment

CASP S.A. | GIZELIS S.A. | KLEEMANN HELLAS S.A.

CHALLENGE:

ENTER focused on leveraging the MARKET4.0 ecosystem to improve product procurement by:

Listing Gizelis’ products in the MARKET4.0 marketplace. Products are available to purchase through the provided IDS architecture at MARKET4.0 marketplace.
Deploy, test and integrate MARKET4.0 applications such as MARKET4.0 peer-to-peer Ordering App, Visualization App and Equipment Selection Service. All the applications and services used the IDS standard
Realize a procurement scenario utilizing the MARKET4.0 ecosystem with KLEEMANN to identify and quantify the benefits gained from utilizing MARKET4.0 IDS technologies.

SUCCESS:

A series of scenarios that include all the developments and integration activities carried out in ENTER has been designed and run by the project partners. The workflows and the setup and deployment for these scenarios are also described. Furthermore, a list of KPIs is presented along with their improvements with the use of the ENTER. These improvements include among others: shorter time to order, increased customer satisfaction, increased supplier availability, decreased time spent for non-added value activities and increased number of customers.

BENEFITS:

Reduced time to order
Suppliers and customers save time from physical meetings
Explore details of machine configuration options
Optimized and user-friendly machine configuration

COMPONENTS:

IDS Connector
IDS Clearing House
Data Apps
Open API
IDS Identity Provider (Certificate Authority, DAPS)

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Q

MARKET4.0: 3DFORM

CASP S.A. | MORPHICA srl

CHALLENGE:

3DFORM focuses on leveraging the Market4.0 ecosystem to extend its functionalities by:

Connecting and integrating ACloud platform at the MARKET4.0 marketplace. CASP led the integration activities while Morphica provided information regarding 3DPrinting machines and their specifications that were integrated to the platform.
Realizing a scenario – CASP with the support of Morphica - utilized the ACloud platform through the MARKET4.0 ecosystem for validating the usefulness of the provided solution.

SUCCESS:

Through the IDS architecture, 3DFORM was able to integrate a secure connection by providing data sovereignty and control between the ACloud platform and service users at the MARKET4.0 marketplace.

BENEFITS:

Increased visibility for 3DFORM partners
new 3D printing service for the MARKET4.0 ecosystem
facilitation of the communication between the producer and the customer of 3D printed parts
added functionalities for 3D printer owners

COMPONENTS:

IDS Identity Provider (Certificate Authority, DAPS)
IDS Clearing House
IDS Connectors
Data Apps

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Q

SCUNY (SChool UNited EconomY)

Orbiter

CHALLENGE:

SCUNY (School – UNited – EconomY) should become a community and networking platform that offers networking and collaboration opportunities for students and professionals from business, politics and social organizations. In addition to the search for cooperation in projects or 1:1 mentoring, potential analyses can be carried out and mutual learning nuggets can be deposited and expert insights can be planned and offered, in which students or experienced professionals share their knowledge. There are already many offerings (from organizations and also ideas from students), but the interface that unites everything is missing.

The issues of data protection, trust, traceability, transparency and security are cornerstones for the (technical) functioning of the project. Without all this, sharing and exchanging learning progress and documents is difficult, especially because parents demand a controlled space for their children to work and develop. It is necessary to think not only about what content and functions can look like, but also what it takes to protect them from misuse, theft and manipulation. Rules must be defined and technically implemented that everyone must adhere to. So far, there is no suitable approach to doing this adequately.

SUCCESS:

The truzzt box, which technically realizes IDS specifications, forms the central management and control body for digital life in the SCUNY use case. A virtual data container is provided for each party of the platform, which is in the full control of the owner and allows trustworthy and secure collaboration with other internal and external persons. Every transaction is transparently and traceably logged, data can be securely stored, provided with terms of use and shared. The user interface forms idento.one as an applicative layer and allows a maximum user experience. Partner integration is simplified thanks to IDS connectors.

BENEFITS:

Traceability and transparency based on a technical implemented IDS-based approach

COMPONENTS:

App Store
Agglomeration of services from a wide variety of (independent) service providers (schools, tutoring institutes, companies, etc.), combination with billing for secure and trusted transactions and transfer of e.g. payback coins
Clearing - Data Transaction Protocol
DAPS - Data Sharing Control

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Q

Bauhaus.MobilityLab

CHALLENGE:

Today's everyday digitalization and the increasing use of AI offer extraordinary opportunities and new answers to major challenges of our time: climate protection, urbanization and demography. In this context, the economically, socially and ecologically sustainable design of the future city is becoming particularly important. Key factors here are the mobility, logistics and energy sectors. A central challenge is to develop the range of products and services in ever shorter time intervals - and in terms of data sovereignty.

SUCCESS:

The living lab is an innovative concept for developing and testing new products and services together with potential users in a lifelike environment. The crucial advantage of the experimental approach is the possibility of continuous testing of new offers. As a test environment, the Bauhaus.MobilityLab becomes an incubator for future changes and thus a laboratory for innovation. Hereby, central challenges are the complex and dynamic structure of the involved systems, the management of data and services, as well as the implementation of individual solutions. All of these are also addressed in the architectures of sovereign data spaces, which is the reason for incorporating the principles of IDS and Gaia-X into the lab platform design.

BENEFITS

Due to the Bauhaus.MobilityLab platform, the foundation for overarching development and testing of AI-based mobility, logistics and energy services in a real urban environment is being brought to life for the first time.

COMPONENTS:

IDS Connector (Dataspace Connector)

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Q

IDSA Data Space - Kubernetes deployment scenario

Atos

CHALLENGE:

Providing the services required to create a Data Space in cloud infrastructures requires relying on Kubernetes for deployment and orchestration.

SUCCESS:

This data space is an adaption and particularisation of the IDSA testbed to facilitate its cloud-native deployment in infrastructures managed by Kubernetes, contributing to its scalability and correct quality of service.

BENEFITS:

Adoption of industry standards to Data Space deployment and operation.

COMPONENTS:

IDS Testbed Components

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Q

PLATOON: Wind Energy

CHALLENGE:

The goal of this pilot is to provide predictive maintenance of wind turbines with a focus on the generator and power converter, which can be applied to other pilots or use cases. However, nowadays, energy data does not generally comply with the FAIR principles. In fact, it is normally kept in silos within companies and it is hardly reused for other purposes than the ones initially conceived for. In addition, in certain cases access to data is limited to some influential big companies. This is a big innovation barrier for academia, RTOs and SMEs as they cannot leverage this data to develop new products and services. This situation around data is one of the main blockers for the energy transition.

SUCCESS:

IDS solutions are used as the basis of PLATOON’s solution for data sharing. PLATOON leverages sovereign data sharing as an enabler to develop innovative data analytics tools by combining data from multiple stakeholders from the energy value chain to unlock new value and further optimise the energy sector. Furthermore, apart from sovereign data sharing PLATOON also considers sovereign exchange of services (data analytics tools) allowing data providers to access a wide ecosystem of service providers. These innovations will contribute to accelerate the energy transition to achieve the goals set in the Green Deal.

BENEFITS:

PLATOON developed wind turbine digital twin with accurate physical and data-driven digital twins and models (physics-based simulation model, supervised data-driven model and normal behaviour data-driven model) that provides anomaly detection and fault diagnosis and isolation. Several business models have been defined in PLATOON regarding data/service sharing. In a nutshell, data is considered as an exchange token to get access to improved products (e.g. Wind Turbine Components with extended lifetime and enhanced performance) or data analytics services (e.g. HVAC operation optimisation, predictive maintenance tools) that can further optimise the Operation and Maintenance Cost and Improve the efficiency across the whole energy value chain.

COMPONENTS:

Several IDS components have been developed PLATOON which have been added into IDSA Github:

TRUE (TRUsted Engineering) open source IDS Connector developed in PLATOON project based on the Market 4.0 connector enhanced with privacy data exchange through CAPE) and data usage control app. Click here and here for more. Also, a specific implementation of the TRUE connector for edge computing has been developed by Barbara IoT as part of one of the PLATOON Open Calls. Click here for more.
Metadata registry: Open Source metadata registry developed in PLATOON that combines both Open Source Broker (also developed in PLATOON and Apstore. Click here and here for more. In addition, an open-source PLATOON IDS Vocabulary Provider has been developed in PLATOON based on Vocol further enhanced with IDS capabilities. This is currently available here. Apart from these components, PLATOON has used Fraunhofer AISEC V3.0 DAPS and IDS Clearing House Service.

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Q

PLATOON: Smart Grids

CHALLENGE:

This pilot use cases focuses on (1) predictive maintenance MV-LV electric transformers and (2) non-technical loss detection in smart grid. Instead of keeping data and tools in silos within companies, it is needed to make them reusable for other purposes than the ones initially conceived for. In addition, it needs to overcome the current innovation barrier in energy market around data exchange to foster innovative data services that can further optimise the smart grids operation and maintenance. In order to enable to overcome such challenges in energy market and provide the required services, it is important to have interoperable solutions with embedded data security for transmitting sensible data, which prompts digital transition of energy domain.

SUCCESS:

IDS solutions used as the basis of PLATOON’s solution for interoperable data sharing. PLATOON leverages sovereign data sharing as an enabler to develop innovative data analytics tools by combining data from multiple stakeholders from the energy value chain to unlock new value and further optimise the energy sector. It includes several data analytics tool for predictive maintenance and loss detection. Furthermore, apart from sovereign data sharing PLATOON also considers sovereign exchange of services (data analytics tools) allowing data providers to access a wide ecosystem of service providers. These innovations will contribute to accelerate the energy transition to achieve the goals set in the Green Deal.

BENEFITS

Several business models have been defined in PLATOON regarding data/service sharing. In a nutshell, data is considered as an exchange token to get access to improved products. For this use case, sensible data handling is important and it integrates data security and privacy data handling into the IDS solutions, so that sensible data in smart grid are well managed. Several data analytics tools are developed (e.g., electrical transformer RUL estimation, electrical transformer health index calculation, transformer oil analysis, electrical transformer health monitoring tool, maintenance activities impact assessment, asset operation optimization tool, prosumer segmentation model, technical loss model, global loss assessment model, NTL identification model). Thanks to PLATOON’s IDS solutions enhancing privacy data handling, sensible data in smart grid can be exchanged, the results from the different methodologies can be compared, and it enables easy knowledge transfer with reusable and shared data.

COMPONENTS:

Several IDS components have been developed PLATOON which have been added into IDSA Github:

TRUE (TRUsted Engineering) open source IDS Connector developed in PLATOON project based on the Market 4.0 connector enhanced with privacy data exchange through CAPE) and data usage control app. Click here and here for more. Also, a specific implementation of the TRUE connector for edge computing has been developed by Barbara IoT as part of one of the PLATOON Open Calls. Click here for more.
Metadata registry: Open Source metadata registry developed in PLATOON that combines both Open Source Broker (also developed in PLATOON and Apstore. Click here and here for more. In addition, an open-source PLATOON IDS Vocabulary Provider has been developed in PLATOON based on Vocol further enhanced with IDS capabilities. This is currently available here. Apart from these components, PLATOON has used Fraunhofer AISEC V3.0 DAPS and IDS Clearing House Service.

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Q

PLATOON: Smart Buildings

CHALLENGE:

This pilot focuses on optimization of energy management system and predictive maintenance on smart buildings. The goal is to offer a better service to customers by reducing energy bill, increasing RES usage and reducing maintenance costs and downtimes. These challenges and goals are shared in many smart building customers. However, nowadays, energy data does not generally comply with the FAIR principles. In fact, it is normally kept in silos within companies and it is hardly reused for other purposes than the ones initially conceived for. This is a big innovation barrier for academia, RTOs and SMEs as they cannot leverage this data to develop new products and services. This situation around data is one of the main blockers for the energy transition. Additionally, some specific applications cannot expose an external internet connection and/or require low latencies, which makes necessary to host the data operations into edge.

SUCCESS:

This use case can connect three different domains : Energy, Smart building and Smart city, which is fully in line with the objectives of common data space. IDS solutions used as the basis of PLATOON’s solution for data sharing. PLATOON leverages sovereign data sharing as an enabler to develop innovative data analytics tools by combining data from multiple stakeholders from the energy value chain to unlock new value and further optimise the energy sector. Furthermore, apart from sovereign data sharing PLATOON also considers sovereign exchange of services (data analytics tools) allowing data providers to access a wide ecosystem of service providers. These innovations will contribute to accelerate the energy transition to achieve the goals set in the Green Deal.

BENEFITS

PLATOON’s platforms are connected through IDS and common PLATOON semantic data models ensuring data trusts and interoperability. On top of them, several data analytics tools have been developed (e.g., PV self-consumption and HVAC operation optimisation to reduce energy bill, predictive maintenance on HVAC equipment) Several business models have been defined in PLATOON regarding data/service sharing. In a nutshell, data is considered as an exchange token to get access to improved products that can further optimise the Operation and Maintenance Cost and Improve the efficiency across the whole energy value chain.

COMPONENTS:

Several IDS components have been developed PLATOON which have been added into IDSA Github:

TRUE (TRUsted Engineering) open source IDS Connector developed in PLATOON project based on the Market 4.0 connector enhanced with privacy data exchange through CAPE) and data usage control app. Click here and here for more. Also, a specific implementation of the TRUE connector for edge computing has been developed by Barbara IoT as part of one of the PLATOON Open Calls. Click here for more.
Metadata registry: Open Source metadata registry developed in PLATOON that combines both Open Source Broker (also developed in PLATOON and Apstore. Click here and here for more. In addition, an open-source PLATOON IDS Vocabulary Provider has been developed in PLATOON based on Vocol further enhanced with IDS capabilities. This is currently available here. Apart from these components, PLATOON has used Fraunhofer AISEC V3.0 DAPS and IDS Clearing House Service.

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Introduction

Holonix deals with technologies and software products regarding the Internet of Things and Augmented Intelligence, the key tools of the new Digital Transformation of industry and business.

Technical Expertise

Holonix provides IDS-enabled solutions, such as i-Live Machines, as well as support and competence on how to define use cases exploiting IDS possibilities and the technical skills to support implementation.

Contact Details

HOLONIX Srl
commerciale@holonix.it

Website
holonix.it

Q

Offshore Energy Data Trust

NZTC

CHALLENGE - SOLUTION:

During the life cycle of an oil well, many fields will change ownership and considerable time and effort will be required on part of the new owners to understand the plug and abandonment activities done to date and their past performance.

A data trust would prove advantageous in delivering value to new owners of assets by providing critical information on the past performance of P&A campaigns and delivering insights into planning for future programs. This could lead to a significant cost reduction, better quantify risk and enhance collaboration across the industry.

BENEFITS:

The combined future total North Sea Well P&A decommissioning work is estimated to carry a risk exposure of £6.3bn.
If the use case solution can provide a 10% efficiency gain with 30% industry acceptance, the estimated cost savings is £189 million.
By delivering capital projects more efficiently, there is an environmental benefit of an estimated 186.7 million kg of CO2 reduction.

COMPONENTS:

No IDS components are deployed within this use case at the moment, to be considered for future stages.

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The Data Spaces Radar #3

Q

Open Access Book Usage Data Trust (OAeBU DT)

OPERAS | OpenAIRE

The Open Access Book Usage Data Trust effort (OAeBUDT), with support from the Mellon Foundation, is working towards exchanging reliable usage data in a trusted, equitable, and community-governed way.

CHALLENGE:

Currently, individual organizations encounter challenges when collecting usage data to make strategic decisions about their OA publishing and OA programs. Staff time and expertise are required to normalize and aggregate these impact metrics from numerous platforms.

SUCCESS:

By 2025, the effort aims to foster the secure, multi-party exchange, aggregation, and benchmarking of book usage-related data; increase trust in usage metrics; improve data quality; and reduce OA reporting and compliance resource burdens.

BENEFITS:

The OAeBUDT plans to launch an unprecedented data space within scholarly publishing that can be extensible to impact and usage metrics for other scholarly outputs.
It will help organizations to reduce time and staff costs related to benchmarking, impact reporting, and market positioning.
Through improved access to granular, timely, trusted high-quality data, open science, and scholarship stakeholders can better support reporting, analytics, and innovation.

COMPONENTS:

Current development work is focused on governance building blocks. A gap analysis of core IDS service provider partners with connections to scholarly communications is planned for 2023.

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The Data Spaces Radar #3

Q

Pressious Data Space

Pressious Arvanitidis | Centre for Research & Technology Hellas (CERTH) | National and Kapodistrian University of Athens (NKUA)

CHALLENGE:

Pressious company is exhibiting a significant environmental footprint since its manufacturing process involves
an extensive usage of raw materials (water, paper, ink, aluminum), where defective products contribute the largest part. Although the environmental impact of the company and the problems associated with the product defects have already been identified and partially addressed, their current management leads to excessive costs.

For this purpose, Pressious R&D team collaborated with the National and Kapodistrian University of Athens (NKUA) and the Center of Research and Technology Hellas (CERTH) in order to implement Machine Learning (ML) models, taking advantage of the historical data that has been collected by the company’s production line and now shared to data consumers/service providers through this data space. Furthermore, this data space enables CERTH to test tools from its DIH (nZEB) with data from another domain such as printing.

SUCCESS:

Through IDSA components, Pressious was able to set up a secure data space for Printing Industry in order to share data with service providers like NKUA and CERTH and address the problems with defective products.

BENEFITS:

Minimization of the product deficiencies that are observed during the final quality control.
Facilitation of circular economy principles, becoming environmentally friendly by minimizing the use of wasted materials.
Production cost reduction in order to increase human resource efficiency and enhance the production

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Q

Middle Corridor ETA App

CHALLENGE:

Freight transportation along the Middle Corridor between China and Europe contains multiple modes of transportation and struggles with limited transparency and plannability along the transport operations.

SUCCESS:

Within this PoC use case, key participants in the logistics chain will be connected via IDS Connectors and exchange data to supply an app for determining the ETA (Estimated Time of Arrival).

This addresses the issue of missing transparency along the intermodal logistics chain and increases the plannability of the participants. The aim is to establish an ecosystem along the Middle Corridor and connect parties along this continental logistics route to exchange data and create additional value.

BENEFITS:

Increased transparency in the middle corridor.
Enhance the plannability of ports and logistics service providers.
Maintain sovereignty over data.
Allows growth into a much broader data ecosystem.

COMPONENTS:

IDS Connectors
IDS DAPS
IDS Broker
Data Space App

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The Data Spaces Radar #3

Q

Sovity Data Space

Sintef | Navtor | Neuron | Wilhelmsen | DNV-GL CHALLENGE: Maritime shipping companies are required by law to transmit a set of important data before entering every port. There are various industry solutions for this data exchange such as the Veracity ecosystem in the market today. All of them are very complex and time intensive to manage. Providers and organizations on shore do not have access to ship data like emissions, fuel consumption and route details. Data access agreements between data providers such as ship owners, authorities or shipyard equippers as well as service providers that take care of for example data analysis and process improvements must be negotiated individually. A common ecosystem for data exchange from ship to shore , that simplifies the process and does not exist. SUCCESS: The IDS-based Maritime Data Space brings together all participants and platforms in one trusted and secure data ecosystem. It ensures transparent access to ship-related data, enables secure, stable and efficient communication between ship and shore, and provides value-added and trusted services for ship operations. Autonomous shipping, environmental sustainability, industry 4.0 technologies, and the connection between ships are current trends that the Maritime Data Space addresses in an innovative way. The combination of the Norwegian DNV GL Veracity data platform with an IDS-based ecosystem strengthens Norway’s position in international maritime data exchange and sharing. Last but not least, the Maritime Data Space satisfies customer and regulatory demand for transparency.

BENEFITS:

Transparent access to all relevant ship related data
Secure, robust and efficient communication between ship and shore
Simplified provision of trusted services for ship operation
Interoperability and data sovereignty for all involved parties

COMPONENTS:

Veracity Industry Data Platform
IDS Connectors
IDS Identity Provider (CA, DAPS, ParIS)
IDS Metadata Broker

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Q

Sovity Data Space

Sovity

CHALLENGE:

The technology around data sovereignty is broad and complex. For many companies, it is challenging to understand the state of technology or open-source software. As more and more data spaces in different industries and sectors evolve and use cases are being developed, it is important for businesses to focus on their specific requirements and goals.

Therefore, spending time and resources on deep technical understanding and the deployment of the necessary data space components can slow down the actual value creation process.

SUCCESS:

In order to experience sovereign data exchange, sovity provides a quickly accessible data space, which allows companies of every size to receive hands-on experience with data space technology. It enables the participants to test their own components in an IDS infrastructure or to sample their use case between different data space participants.

The sovity data space includes multiple connectors (Dataspace Connector or EDC Connector) with an intuitive frontend, a highly scalable DAPS as well as a Broker, federated catalog, or a Clearing house. With this, the sovity Data Space can also be used as a technical starting point for the creation of new data spaces.

BENEFITS:

Fully running data space
Easily deployed Connectors with intuitive UI - Access/Usage Control for data offerings
Highly scalable DAPS - Interoperability and behavior testing against IDS components

COMPONENTS:

Veracity Industry Data Platform
IDS Connectors
IDS Identity Provider (CA, DAPS, ParIS)
IDS Metadata Broker

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Q

Cross-domain: Web 3.0 Data Space

Post-Platforms Sciences | Po Startinblox | Digita Digentity | SolidLab

CHALLENGE:

- Platforms quickly monopolize their market niches. There is almost no connection between different platforms and a serious vendor lock-in problem. They monetize the users' content, yet any account can be arbitrarily banned.

- These challenges are totally relevant for each and every industry:

- Museums suffer without proper intellectual property rights management and provenance tracking

- Enterprise sector suffocates under hundreds of different software systems and databases

- Hotels struggle to pay a 20% commission to booking platforms

- Traditional and social media promote lots of fake news, while fact-checking consumes huge resources

- Individuals don’t really own and control even their healthcare and wellness data, spread across multiple platforms and systems

- Cadastre and tax authorities cannot properly harmonize their systems and databases, making citizens suffer

Etc.

SUCCESS:

The pool of billions of PODs for people, organizations, and things represents the Data Space itself. PODs are not interconnected among them. They are accessed only by and via platforms (we call them post-platforms).

Post-platforms get controlled access to PODs, read them and write back on them. Only authorized by the owners of PODs users get access to specific data on PODs, and it does not matter which platform they use. These post-platforms are not interconnected amongst them and they do not hold any original data, just cache copies.

Due to advanced security by design users have e-passports, issued by a developed public key infrastructure (PKI). With such e-passport, users can control their PODs, identify/authenticate themselves, get money from ATM, or open a hotel room. Users will not need logins/passwords anymore.

Personal PODs keep data created by their owner, but also public and third-party data, for example, Cadastre, police or municipality data, other authorities, healthcare records, data from schools and universities, etc.

BENEFITS:

The Web 3.0 Data Space concept makes the physical world intensely data-rich and merges online and offline interactions into a single yet fully decentralized metaverse.
Individual PODs keep all the information originated by a person via their online activities, including sent messages, posts, transactions, various files they created, etc.
The same storage also keeps track of all messages, comments, and reactions they or their content ever received.
Organizations and public authorities also record on the POD every piece of information about its owner's identity and legal liabilities, and this data cannot be changed or deleted by anyone but its authors. Every entity also stores all the information related to its business and legal interactions on its POD. Just like individual ones, their PODs become unique focal points for their data.
The Web 3.0 Data Space also implies that sooner or later, every real estate, vehicle, device, or even many parts of them will have their own separate PODs. All information regarding their history (ownership, origin, modifications, adjustments, etc.), their future (resource left, maintenance scheduled), and their interactions with other subjects and objects will become available to their owners, manufacturers, regulators, partners, etc.

COMPONENTS:

Veracity Industry Data Platform
IDS Connectors
IDS Identity Provider (CA, DAPS, ParIS)
IDS Metadata Broker

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Q

Post-Platforms for Supply Chain

Post-Platforms Sciences | Po Startinblox | Digita Digentity | SolidLab

CHALLENGE:

Full supply chain automation is not yet fully achievable due to data exchange and platform interconnectivity challenges

- Vendor lock-in is another huge issue: users and companies cannot switch between different digital service providers

- Data silos created by numerous conflicting records in different databases impact every player in the industry

- Interactions with suppliers, logistics partners, and clients require a lot of resources mainly because of the different IT solutions each of them uses

- Data analysis and proper supply chain optimization require the widest access to quality and structured Big Data, which is currently not available

SUCCESS:

Dedicated PODs are assigned to each entity participating in the supply chain, including suppliers, contractors, and off-takers

- Every piece of information is updated immediately, and there are absolutely no data conflicts

- No vendor lock-in, since users can seamlessly switch between platforms

- The usage of Linked Data facilitates real-time data analysis and works with different data formats

BENEFITS:

Lower costs for all parties, due to optimized routes and better timing Delays optimization thanks to instant access to thousands of alternative suppliers, itineraries, etc. Full transparency of the entire supply chain, since every data source, remains accessible
Every piece of data has a persistent ID Unlimited data analysis and supply chain optimization potential thanks to advanced semantic search

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Q

Post-Platforms for Smart City

Post-Platforms Sciences | Po Startinblox | Digita Digentity SolidLab | City of Amsterdam | City of Rio de Janeiro

CHALLENGE:

Various actors, from public services like Police and City planning to private companies in the transport, garbage processing, construction, and utilities, currently use hundreds and thousands of databases, platforms, apps, and systems, creating probably the biggest data silos ever, with an incredible amount of outdated records and data conflicts.

SUCCESS:

In our Web 3.0 Data Space solution, we place all data concerning each respective building, every road, as well as every significant part of the electricity, pipe, gas, and other networks on dedicated PODs.

Now every authorized entity, public or private, can work (read and write) with the very same “data at the source”, which is always correct and always up to date. This is the same approach as working with a shared document: every user works on the same original record and can see all changes in real-time.

We believe and can prove that a similar approach is totally realistic even for the biggest urban agglomerations.

BENEFITS:

Life quality improvement due to better data-based and citizen-centric policy making Better commuting thanks to optimized itineraries and real-time data on population and road infrastructure 100% correct and always up-to-date official records, used by each and every public service or by authorized private organizations Tax, address, and other public systems automation based on available data on every element of city infrastructure

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Q

Post-Platforms for Manufacturing

Post-Platforms Sciences | Po Startinblox | Digita Digentity | SolidLab

CHALLENGE:

Every large corporation nowadays suffers from too many poorly interconnected IT systems, databases, and platforms. It’s even more challenging for large manufacturing companies where the number of systems may reach ~1000.

Even from the end-user perspective, this situation is quite stressful and energy-consuming: human resources are used in a non-optimal way because of all the files exchange, related paperwork, unautomated communications; etc. But if we look at it holistically, we’ll see large business performances considerably impacted by these dozens or even hundreds of balkanized platforms and systems with their respective databases.

Lack of interoperability is the most apparent issue. Still, there is another one behind it: data silos, multiple copies of similar data without a clear understanding of which version is the most recent. These data silos automatically imply that there is no control over data quality and that your technical teams spend lots of effort to interconnect all these often almost incompatible systems and to coordinate their incoherent ontologies. Last but not least, it negatively affects data transmission outside the company, including both communications with its clients and all interactions with its suppliers and contractors, which is especially crucial for the manufacturing sector.

All these issues constantly keep too many human resources busy, consume too much energy, and result in the underperformance of the whole business.

SUCCESS:

Corporate data doesn’t have to fit Procrustean beds of a multitude of different databases with different ontologies and data formats. Instead, it can be stored in a universal and fully machine-readable Linked Data format on separate secure virtual servers – we call them PODs – for each object you interact with.

Each machine or piece of equipment you use, each client or contractor you are connected with, can have such a POD with every single piece of data related to them stored there.

BENEFITS:

Transparent access to all relevant ship related data
Secure, robust and efficient communication between ship and shore
Simplified provision of trusted services for ship operation
Interoperability and data sovereignty for all involved parties

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Q

Post Platforms for Renewable Energy

Post-Platforms Sciences | Po Startinblox | Digita Digentity | SolidLab

CHALLENGE:

Lack of coordination for distributed energy generation: there’s no single system to automatically monitor the real-time performance of each energy-generating device

- Lack of coordination for installation funding and energy purchase: individuals and organizations don’t have access to up-to-date information regarding funding and other financial options available

- Lack of information for other available incentives: regional, national, and European renewable energy support programs often communicate quite poorly with their target audience and need to make their programs and incentives available to each and every user

- Lack of structured data regarding energy output, new and existing installations, etc., makes existing statistics imprecise and not always accurate, as a consequence impacting also the policy-making, construction of unnecessary new grids, creating non-optimized financial services, etc.

SUCCESS:

All data from every installation is stored on PODs, making their data instantly available (and fully machine-readable) for any authorized platform, including off-takers, providers, maintenance teams, etc.

The same abundant and well-structured data can now be analyzed by research institutions, University labs, policymaker's offices, etc., helping to improve their respective recommendations and decisions.

On the other hand, every public or financial institution also publishes their programs and projects on their own PODs, so that they are accessible to every interested individual or organization.

BENEFITS:

Transparent access to all relevant ship related data
Secure, robust and efficient communication between ship and shore
Simplified provision of trusted services for ship operation
Interoperability and data sovereignty for all involved parties

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Q

Post-Platforms for Automotive

Post-Platforms Sciences | Po Startinblox | Digita Digentity | SolidLab

CHALLENGE:

The automotive industry is one of the most complex manufacturing industries ever since it uses thousands of components made by hundreds of suppliers, and then handles the maintenance of millions of vehicles of hundreds of different makes and models.

Such large corporations nowadays suffer from too many poorly interconnected IT systems, databases, and platforms. It’s even more challenging for automotive companies where a number of systems may easily overpass ~1000.

At the same time, the automotive industry is tightly connected to such complex niches as infotainment, cartography, itineraries, etc., where cars can and shall both receive road information from external sources and share the data the car records itself with other systems and vehicles.

SUCCESS:

Our solution is pretty straightforward. We connect a dedicated server - a POD - to each vehicle and its key components. Each POD stores all the telemetric data in real-time, and allows access and processing of this data via any authorized platform. These are the same IoT and smart vehicles we already know but on a totally new level of specification and accessibility.

Integrations with other systems, including geopositioning, itineraries, hotel bookings, charging stations, etc., become seamless since every vehicle and every respective entity or spot can now automatically exchange data through any platform selected by the manufacturer or by the owner.

BENEFITS:

Transparent access to all relevant ship related data
Secure, robust and efficient communication between ship and shore
Simplified provision of trusted services for ship operation
Interoperability and data sovereignty for all involved parties

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Q

Carbon Capture Audit Trail (CAST / Trust Trail)

4C Chem | WBNode | Act4Carbon e.V | JadenX

CHALLENGE:

Trust Trail, is a project that makes use of shared audit trails and blockchain technology for carbon capture processes. Trust Trail was developed to address the complexity of carbon capture technologies and its multi-participant supply chain, which is susceptible to breaches of integrity. The system uses blockchain technology to store proofs and attestations in an immutable shared audit trail. This is a preview of the current state of the software showing the processing of biomass in different steps up to the creation of a Carbon Removal Credit (certificate).

SUCCESS:

Our use case adds audibility through a shared audit trail to carbon capture supply chains. The technology is built in a generic way so that our audit trail can easily be adjusted to work with other industries, for example, supply chains in logistics or the medical manufacturing domain.

COMPONENTS:

Fiware Context Broker
Apollo
Keyrock
Kong

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Q

Tidy City

Sintef | Logimade Lda. (Logistics company) | Transbag (Logistics company) | IL Technologies | Lda (Software Studio) | Promerch (Advertising Company) |Sicaprep (installation and maintenance of electric, electronic, telecommunications, and energy infrastructures) | Madeira Waste Recycling (management, monitoring, collection, transportation, treatment and elimination of all types of industrial, commercial or residential waste) | Smart Islands Hub (European Digital Innovation Hub)

SUCCESS:

The Tidy City experiment proposes to equip vehicles with mobile devices to take pictures and later process them to automatically detect and classify problems in publicly visible infrastructures. To reduce pollution and CO2 emissions, street-level images will be collected by a wide range of vehicles that already travel the city streets daily, such as waste collection trucks and express delivery vehicles.

The collected images are sent to a server for analysis and classification based on AI models. Within the scope of this experiment, the system will be able to detect and record the GPS location of damages in outdoor advertising, lightning, and electricity supply infrastructures, and improper waste disposal situations (e.g., waste outside containers, tires, old appliances, and furniture).

The detected occurrences data will be shared with each corresponding partner for integration and operations optimization. To comply with the RGPD and other European and National legal requirements, all personally identifiable information (e.g., people’s faces and license plates) will be removed from the images through the same privacy by-design processes already used by Google Street View.

BENEFITS:

The Data Space will allow for multiple interested parties to access detailed and treated information (AI applied to image frames does detect anomalies) regarding various kinds of occurrences detectable from the public streets.

COMPONENTS:

This use case is part of the i4Trust second call for experiments, It will use FIWARE's Orion Context Broker protected with the gateway proxy Kong (open source) for the data sharing. The Identity Management will be done using Fiware's Keyrock (IDM) while applying iShare's specifications (rules of access in an Authorization Registry and parties validation in an iShare Satellite). The data offer will be made available in an instance of the i4trust Marketplace.

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Q

ManuSpace

SUCCESS:

By utilizing the ManuSpace dataspace, manufacturers can not only reduce the cost to the patient but more importantly reduce the time it takes to get these life-saving medicines to the people that need them.

Through interoperable data sharing, we can ensure that contract manufacturing capacity is maximized. In turn, ManuSpace can help alleviate drug shortage problems for some of the most vulnerable in society.

BENEFITS:

As more and more, pharmaceutical and biotechnology companies choose to outsource their manufacturing projects - companies must evaluate the performance of its Contract Manufacturing Organizations (CMOs) and determine whether it meets industry and regulatory standards.

Companies outsource business activities to external partners for a variety of reasons – cost, flexibility, time to market, and core competence. This outsourcing leads to an increased risk of non-compliance to Good Manufacturing Practice (GMP) procedures which in turn is a risk to the brand reputation of the company.

Data integrity is critical in the pharmaceutical industry to make sure that the end products meet all the required quality standards. Enabling the digitisation and automation of cross-organisational business processes integral to pharmaceutical manufacturing will help improve supply chain security and help reduce the time to patient

COMPONENTS:

i4Trust

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Q

Data spaces for smart energy

SUCCESS:

DARE data space will enable the secure sharing of IoT data generated by devices installed in smart buildings. These data will enable accurate energy demand forecasting and fast anomaly detection of faulty energy equipment. DARE leverages IDS solutions to improve its interoperability and security.

BENEFITS:

DARE will enable energy consumption reduction of smart buildings and it will create opportunities for new products and services.

COMPONENTS:

We are using FIWARE Orion to share data and iSHARE technologies combined with Verifiable Credentials, for authentication and access control.

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Q

Data Space for Multimodal Passenger Mobility

iShare.eu | fairsfair.org | IBM

SUCCESS:

GDPR compliance and collaboration are the two main issues in reshaping mobility. Data ownership and different vocabularies stand in the way. By decentralised identity management and the data clearing house functionality set in a blockchain, supporting data consistency,

we offer the foundation for transport operators, passenger and authorities to collaborate. Data can be (re)used for individual feedback, operational excellence and overall aligning the mobility services to the local needs. Fulfilling three out of four intermediary roles and using frontier technology IDS contributes to this. Lacking in IDS is the control over personal attributes, a solution we designed in a similar decentralised fashion as iShare

BENEFITS:

Collaboration brings value. Access to consistent and democratic data enables authorities to address societal challenges, such as the Greendeal, social inclusion, data awareness, GDPR, reduction of cost for ticketing en minimising the vendor lock in.

COMPONENTS:

Identity Service Provider: data exchanges between legal entities based on the iShare trust framework, and presentation of personal credentials via a DID/SSi solution with fairsfair.org.

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Q

The Smart Building Dataspace

KPN | Luminis | Textinfo | Dexes | University of Amsterdam

SUCCESS:

The Dataspace provides scaling opportunities for existing businesses to use sensor data for facility management of buildings and public spaces. The dataspaces reduce legal and technical bottlenecks for sharing data from sensors with third parties. The AMdEX granular policy enforcement offers a legally sound answer to data sharing challenges.

BENEFITS:

Scaling up the use and application of sensor data from buildings and public spaces in many-to-many consortia.

COMPONENTS:

For the dataspace, all 12 IDS components are eventually filled in with AMdEX, Ishare, and FIware-provided components/processes.

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Q

EdgeDS

Intracom Telecom

SUCCESS:

This use case addresses the emerging need for secure, trustworthy, and sovereign data

exchange among diverse stakeholders in edge computing ecosystems.

This approach integrates mechanisms for trustworthy and sovereign data exchange, into Multi-access Edge

Computing (MEC) environments, by extending the ETSI MEC Architectural Framework with

IDS components and enriching Edge Computing applications with data space capabilities in

an as-a-service paradigm.

BENEFITS:

This work highlights the feasibility and usability of incorporating an IDS Connector-as-a-Service within the MEC Platform, towards creating a data ecosystem that enables trustworthy and sovereign data exchange and intercommunication of multiple domains and applications that are hosted at the Edge.

The proposed architecture provides the capability of utilizing and composing Dataspace-enabled MEC Applications, where any MEC App can act as a data service provider (potentially under some pricing scheme) towards other MEC Apps. This is not restricted to the supply of data but also extends to data processes (e.g., ML models, data analytics workflows, etc.). Moreover, the MEC Platform itself can offer such value-added services, in addition to secure data exchange services, which translate to additional revenue streams for the Communication Service Provider - CSP (who is operating the MEC Platform).

Last but not least, third-party data solutions providers can offer (B2B2C) such data processes to the CSPs to enrich their services on their MEC Platforms, without the need for third-party providers to run as MEC Apps, but rather by just providing the data processing models/software. To showcase the benefits of data-driven collaboration across systems and actors, we employ a motivating example use case from the Autonomous Driving domain. We envision different scenarios for autonomous, connected vehicles on a highway, which are powered with advanced safety, traffic routing, and other features through the enactment of data service ecosystems.

For instance, we consider the ‘see-through’ case of a vehicle that intends to pass a truck and is temporarily provided access to a video stream of the car preceding that truck, which is equipped with a camera. Similar scenarios are applicable, such as the ‘platooning’ of vehicles that can drive in a coordinated manner as a group, sharing sensing information, or the exchange of safety or traffic alerts between vehicles on the highway.

COMPONENTS:

This Use Case proposes the extension of the ETSI MEC architecture, by introducing the “IDS- Connector-as-a-service”, instilled directly into the MEC mechanisms.

The prototype implementation of the proposed architecture includes the integration of the Dataspace Connector, implemented by Fraunhofer. In the introduced architecture, extending the MEC Architecture, each MEC Application (MEC App) can act as a data provider/consumer, in accordance with IDS roles distinction.

By introducing the concept of IDS Connector-as-a-Service among the functionalities provided by the MEC Platform, each application is capable of obtaining its own connector—which exists within the MEC Platform as a MEC Platform-offered service instance—and can exchange data with any application that has a registered connector inside or outside of the MEC host.

In the scenario of two MEC Applications exchanging data, we denote MEC App1 the application that attempts to receive data, and as MEC App2 the one that provides the desired data. After the completion of the instantiation of both applications and the assignment of a certified IDS connector to each of them, the connectors’ information is available through the MEC Platform’s relevant API for service discovery and availability. While data services that are not IDS enabled are registered directly on the MEC Platform, MEC App2 registers the data resources it provides on its own connector. In order to consume the desired data services, MEC App1 receives the information of MEC App2’s connector. Subsequently, MEC App1 performs a request to its own connector, encapsulating the information of the other connector, along with the identifiers of the targeted resources. Finally, if the usage policies attached to the contract of the requested resource are accepted, then data transfer from the provider to the consumer is followed as defined by IDS.

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Q

IDEAS - IntegrateD Engineering dAta Sharing

SUCCESS:

The IDEAS project foresees a data-sharing model which will not only operate between the platform but

also between each construction company. Through the use of the iSHARE technology, it will be possible

to provide instructions about the conditions in which the data will be shared, in particular defining policies

and licenses.

BENEFITS:

The general project objective is to reduce the time needed to complete technical operations, select the resources and optimize them. The activity includes the use of data generated by individual construction sites to monitor CO2 levels within urban environments.

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Q

Solar Charge API

SUCCESS:

Solar Charge API will deploy a big data stack to generate smart charging suggestions based on data provided by multiple Grid Stakeholders. The smart EV charging suggestions and proposed daily charging schedule per region will be made available via API calls through NGSI-LD API to ensure that the smart charging schedules are accessible and comprehensible by other nodes.

Entities that subscribe to the API will need to go through user authentication via FIWARE key rock before accessing the Solar Charge API service

BENEFITS:

Transparent access to all relevant ship related data
Secure, robust and efficient communication between ship and shore
Simplified provision of trusted services for ship operation
Interoperability and data sovereignty for all involved parties

COMPONENTS:

Historical data of transactions in EV charging station data from eMSPs
Grid operation data from open data repositories ( i.e ENTSO-E)
Energy production data from independent solar producers, and renewable energy project assets managers. Our data provider Helios RES LP belongs to these groups.
Building consumption data from smart meters in residential households that feature rooftop solar installations. Namely, P1 Link and My Energy Community platform, developed by GridOne enables real-time data fetching from PV and smart meters. The solutions by GridOne will be integrated to SolarCharge API and will enable ICENT to access data and develop predictive models for daily solar energy production from rooftop PV and residential building consumption.
The service then groups and analyzes the data per region and generates a day-ahead charging schedule proposal for each region. Then eMSPs and other electricity grid stakeholders can access the daily charging schedule for their region via API calls through Orion LD Context broker and incorporate them in their applications by displaying messages/ action prompts to their users.

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Q

GlobShare

Globis as consortium lead | Sirris (BE) as Digital Innovation Hub | UCGroup (NL) as consulting partner | Cabooter Terminals (NL) as intermodal hinterland terminal | Renory Terminals (BE) as intermodal hinterland terminal

SUCCESS:

The many different carriers and intermodal terminals in the steel industry can work more efficiently by sharing real-time events with the next mode of transport and with the 4PL acts as a supply chain orchestrator.

BENEFITS:

A more efficient, transparent and sustainable supply chain of break bulk cargo, especially large volumes of steel

COMPONENTS:

Fiware and iShare through the i4Trust initiative

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Q

Green Deal Dataspace

Advaneo GmbH | IDSA

CHALLENGE:

The frequency of global crises such as pandemics, wars, and disasters has increased, and building shared solutions using data connections is crucial for dampening their effects and becoming more sustainable and resilient. The PAIRS and SPELL platforms are examples of prominent use cases that will be part of the Green Deal Dataspace.

The PAIRS platform, in particular, allows for transparency in the supply chain by identifying crises and their effects on individual participants. However, finding and using data in a sovereign way remains a core challenge. Interested parties need to know how to find services to become more resilient while ensuring data privacy and sovereignty. Additionally, creators of such services need to find initial partners to build the required networks.

SUCCESS:

The solution to the challenge of finding and using data in a sovereign way lies in using established and independently certifiable standards for data sharing, such as IDSA and GAIA-X.

These standards are integrated into a unified system that allows for offering, finding, and accessing relevant data sources and services related to resilience and sustainability. The IDS solution and its corresponding connectors are basic technologies that enable sovereign data exchange within the Green Deal Dataspace.

BENEFITS:

Companies and organizations as users of the Green Deal Dataspace benefit from our data-based approach to digital infrastructure to integrate decentralized information in a protected virtual space. With this infrastructure, users are either able to apply already implemented services or to develop new services supporting our users in order to gain new insights and knowledge.

The variety of data sources which are part of the Green Deal Dataspace also facilitates cross-over domain approaches for services as also will be implemented inside the PAIRS-Plattform. Especially the supply chain use case as a cross-over domain service utilizes the different data sources coming from different.

By additional search and finding functionalities inside the Green Deal Dataspace partners can connect to build research projects, exchange in a sovereign way data, and make use of the existing Dataspace infrastructure. In the end, this enables users to seamlessly build their own trustworthy resilience and sustainability ecosystems.

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Q

Data Space Radar: Resilience Data Space (HERAKLION)

Sintef |

CHALLENGE:

The aim of HERAKLION is a demonstrator for a scalable Resilience Data Space. This is developed on the basis of pandemic and extreme weather scenarios (lead use cases), which take up the needs of municipal users and implement them conceptually.

The Resilience Data Space is associated with the Resilience and Sustainability Data Space (RSDS) and is developed in close cooperation with it. A bottom-up approach is pursued in the HERAKLION project, which culminates in a demonstrator for quantifying municipal resilience using data space functionalities. In contrast, the RSDS follows a top-down approach and is operated live immediately in order to integrate various projects and services.

SUCCESS:

The aim of HERAKLION is a demonstrator for a scalable Resilience Data Space. This is developed on the basis of pandemic and extreme weather scenarios (lead use cases), which take up the needs of municipal users and implement them conceptually.

The Resilience Data Space is associated with the Resilience and Sustainability Data Space (RSDS) and is developed in close cooperation with it. A bottom-up approach is pursued in the HERAKLION project, which culminates in a demonstrator for quantifying municipal resilience using data space functionalities. In contrast, the RSDS follows a top-down approach and is operated live immediately in order to integrate various projects and services.

BENEFITS:

The innovation of HERAKLION is the provision of a functional Resilience Data Space and the associated analysis services, which function individually or together as a digital ecosystem in which data can be managed decentrally and used multilaterally in compliance with strict sovereignty standards.
The standardized infrastructure of data space ensures a low threshold for municipal actors.
The data, analytical methods, and simulation tools for the quantification of municipal resilience will be made available as a decision support system for three user groups: 1) municipalities, 2) SMEs and large companies, 3) as well as authorities and organizations with security tasks

COMPONENTS:

A process and template for a "Data Space Requirements Specification (DSRS)" is being developed for the special boundary conditions in data space development, in which use cases and requirements are initially unclear, even for the end users. On the basis of this DSRS, the technical implementation is carried out and IDS components are selected via incremental prototyping and reviewing with the end users.

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The Data Spaces Radar #3

Q

aiXia

aiXia" which will be led by LANTEK (digital services) together with the companies LIS SOLUTIONS | S.L. (data analytics and ai services) | INGETEAM, S.A.(energy) | GOIZPER S.COOP. (machine-tool industry) | MONDRAGON ASSEMBLY S.COOP. (manufacturing) | UBIKARE ZAINKETAK, S.L. (healthcare) | EROSKI S.COOP (retail) | The technology coordinator is IKERLAN (a leading knowledge transfer center providing competitive value to companies)

SUCCESS:

Seeks to promote and research the necessary technologies for the definition of a reference architecture, operational models, adoption of standards and developments for a data space based on the common technical framework proposed by DSBA members, extending its main services to favor the development of artificial intelligence with guarantees of traceability, security, and governance of the data and services.

BENEFITS:

Aims to provide the country with a reliable data space that enables companies to offer new concepts of high-added value services based on data sharing, through the servitization of collaborative artificial intelligence for the productization and monetization of their data and industry knowledge in new business models.

COMPONENTS:

Will develop new services in the field of artificial intelligence and will explore current IDS components implementations (focusing on Connectors, Metadatabroker, and IdentityProviders) in order to select one of them to rely on.

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The Data Spaces Radar #3

Q

MONDRAGON ASSEMBLY EGOKIA

MONDRAGON ASSEMBLY - an international firm specializing in the development of automatization and assembly solutions for various sectors. It operates 6 production plants around the world and is part of the largest cooperative group in the world | IKERLAN Technical research center and member of IDSA

CHALLENGE:

EGOKIA solution allows collaborative learning and knowledge sharing between geographically distributed plants, integrating headquarters in Basque Country and domain experts. Thanks to the data space, data, and AI assets can be securely shared throughout different corporate sites and a new knowledge-based economy emerges.

SUCCESS:

Deploys an architecture based on IDSA connectors, linking Mondragon Assembly’s data and AI platforms from different corporate sites. With this new reliable data space, we extend the lifecycle of artificial intelligence models, enhance their capabilities, and facilitate trusted access and use of its assets by EGOKIA participants.

BENEFITS:

NEW BUSINESS MODEL: A new business model based on AI services and a knowledge-based economy. RELIABLE AI SOLUTIONS: A "standardized", flexible, and secure solution to break data silos to share and complete AI assets and processes between trusted organizations and production plants. Measurable benefits can be listed as: Up to 30% quality on models thanks to the application of federated learning techniques, reduce inversion and time to market on IA-based solutions or lower communications loads. STANDARIZED DATA SPACE – The organization is ready to take part in the knowledge economy with other entities, domain experts, and technology providers.

COMPONENTS:

Data Space connectors 8.0.2 Metada Broker 5.0.3 Identity Provider 1.6.0

Q

I4.0 data space and app marketplace for connected factories and service providers

Ikerlan

(1) i2CAT Foundation: technical partner responsible for the implementation and deployment of the IDS-compliant data space solution, App Store prototype, and integration of the data apps into the App Store. (2) CIM UPC Foundation: industry research partner with an experimental pilot factory floor with machinery and deployed IoT sensors where the collected data originates. (3) Universitat Politècnica de Catalunya (UPC) and their Motion Control and Industrial Applications (MCIA) and Advanced Control Systems (SAC) research groups: development of the data analytics and ML applications.

CHALLENGE:

The scenario brings up several challenges:

1. This data is susceptible, and timely, related to core production processes in the factory. Secure data transmission and agility are key, and traditional sharing methods are inadequate.

2. Factories must avoid lock-in situations to service providers, requiring interoperable approaches that allow them business flexibility in a competitive market of third-party services. This is equally important on the other side of the market, where SME service providers need an equal playing field for competing for that factory’s business.

3. New and developing regulations, such as the Data Governance Act and Data Act, change the market dynamics of data exploitation, requiring a scalable solution for data sharing that is built around core principles such as data sovereignty.

SUCCESS:

The i2CAT Foundation in Barcelona has implemented an IDS-compliant data space and marketplace prototype in the regional Industry 4.0 project, Looming Factory. It addresses those aforementioned challenges via the following:

1. A minimal viable data space (MVDS) approach that securely connects the project’s pilot factory floor machinery with developed predictive analytics services through a connector-based solution. The factory maintains strict usage control over its data, transmitted over a secure system.

2. An IDS App Store prototype implementation that allows those certified third-party providers’ services to be discovered by the factory and deployed in their secure, connector-based environment.

3. Third-party predictive analytics services for the marketplace proof of concept developed by Looming Factory project partners included predictive maintenance, operational cost estimation, production time cycles, and energy efficiency. These acted as demonstrators for the proposed solution for industry actors outside of the R&D project.

The Looming Factory project was co-funded by the European Regional Development Fund of the European Union in the framework of the ERDF Operational Program for Catalonia 2014-2020.

BENEFITS:

Enabling secure, sovereign data sharing in an ecosystem of I4.0 data services: IDS-compliant trusted environment for data sharing for secure, controlled exchange of sensitive production data between factories and third-party service providers. The factory is connected to a potential ecosystem of third-party data services that optimize their production processes: higher efficiency and lower OpEx.
Empowering business flexibility in the marketplace of competitive services: App Store prototype hosts and deploys innovative third-party data apps in an interoperable data space architecture. Factories are not locked into a single provider and have a selection of competing solutions, while SMEs can use the AppStore as an onboarding platform to provide their services to factory customers in an extensible data space.
Scalable solution for data regulatory compliance: I4.0 data service providers can deploy their solutions in an IDS-framework designed for future data regulation and evolving market dynamics between data and service providers.

COMPONENTS:

i2CAT has implemented the solution following the IDS-RAM 3.0 architecture and based on the Open Source implementations of the different components provided by IDSA. In particular, the solution includes the following components: (1) Dataspace Connector v8.0.0; (2) App Store v2.0.0; (3) DAPS (the Fraunhofer test certification authority was used, and specific digital certificates for the pilot were previously requested and issued.) These Open Source solutions have been modified and adapted to the specific needs of the use case, especially in terms of the connectivity between the Dataspace Connector and the App Store. The App Store has also been significantly improved with a new GUI and several services to connect it with a private docker image registry.

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Q

Gatekeeper

Information Technologies Institute (ITI) - Centre for Research and Technology, Hellas (CERTH)

SUCCESS:

An extension to the Data Space Connector is used for exchanging data under rules of data governance and International Data Spaces' usage policies. The usage policies, including purpose-restricted usage, have been investigated with clinical partners in the scope of the Gatekeeper project

COMPONENTS

IDS Connectors
IDSClearing House

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Q

Gaia-X4KI – A sovereign data and service ecosystem for artificial intelligence in automotive development, production, and operation

Autonomous driving scenarios and the industrial production of required devices face a broad range of challenges related to data sovereignty and security. In particular, transfer of large, sensitive files and services in a policy-conform way are addressed in the prototypes.

SUCCESS:

The solutions are cloud-based and are embedded in existing industrial cloud landscapes to enhance data sovereignty of participants in complex data exchange relations.

BENEFITS:

Gaia-X4KI connects various stakeholders and their diverse system landscape from the complete autonomous driving development lifecycle.

COMPONENTS:

Eclipse Dataspace Components (EDC) and EDC MVD including Connector, Federated Catalog, Identity Hub, Registration Service

PREREQUISITES:

The data space is currently in development and being tested inside the project. It bases on open source components.

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Q

FutureForest

Freie Universität Berlin | Technische Universität München | M.O.S.S Computer Grafik Systeme GmbH

CHALLENGE:

Climate change makes the adaption of forests a very high-priority issue for forest owners and management companies. Without reliable data, it is very hard to make decisions in a fast-changing environment. Not acting will lead to economic and ecological losses. Traditionally, forest owners and practitioners rely little on data and have had no access to the data of others at all. This limits the discovery and adoption of best practices.

SUCCESS:

In our data space, forest research organizations, state forests, forest management companies and forest practitioners can access a common pool of relevant data, such as climate data, soil data, tree species distribution and tree health information, as well as in situ sensor data. It is well-defined who can access which data what for. As an example, the whole pool can be used to train AI models.

With this central, interoperable data pool, any new organization coming on board can quickly deploy state-of-the-art solutions to help in their decision-making, all the while retaining control over the data that they contribute.

BENEFITS:

Through the data space, risks related to climate change can be mitigated and revenue can be protected or enhanced, especially taking into account carbon capture and other incentiuves. Other ecosystem services can be enhanced, and as such, the value of the decision support given exceeds economic returns. The forestry data space also contributes to biodiversity and to the social and recreative functions of forests.

COMPONENTS:

Eclipse EDC Connector v0.0.1-milestone-8, MVD, extended Re3gistry as a vocabulary provider

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Q

EONA-X

CHALLENGE:

Create a trusted environment to unlock mobility, transport, and tourism data to create or improve services for the users and the stakeholders.

SUCCESS:

Creation of a large data and services federated catalog will allow the emergence of new use cases which will enhance the traveller experience and the processes of the stakeholders.

BENEFITS:

Gain savings thanks to process improvement derived from the use of previously unaccessible data or additional revenues thanks to new services

COMPONENTS:

Eclipse connector

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Q

The Operator Use Case (Athens, Greece)

SUCCESS:

As digitization reshapes the industry landscape, telecom and PayTV operators are facing major disruption to their value chains and business models. As innovation is sweeping across the industry, it pushes telecom operators to tap valuable data. Telecom operators can use data-driven analytics models and create or use Data Spaces to gain valuable real-time insights and improve their network services, their performance and service quality, user segmentation and profiling, as well as personalize marketing initiatives and reduce churn rates.

COMPONENTS:

Data Space
IDS Compliant Connector
IDS Compliant testbed

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Introduction

IKERLAN is a leading knowledge transfer technological centre providing competitive value to companies. We seek for excellence in R&D&i, thanks to the continuous adaptation to the needs of our customers and the proximity with the business reality. Faithful to our mission, we have been working daily since 1974 to develop solutions that allow our customers to become more and more competitive. We are a cooperative member of the MONDRAGON Corporation and the Basque Research and Technology Alliance (BRTA).

Business Expertise

Thanks to a unique cooperation model, which combines technology transfer activities, internal research and training of highly qualified personnel, IKERLAN is currently the trusted technological partner of major companies in the country. To meet our goal, we are structured into two technological specialization units:

ELECTRONICS, INFORMATION AND COMMUNICATION TECHNOLOGIES
ENERGY AND MECHATRONICS

IKERLAN is a center that is dynamic and open to the world. We are an accredited agent of the Basque Network of Science, Technology, and Innovation and of the Spanish Federation of Technology Centres. We have a major cooperation network integrated with renowned European centers and universities, with which we conduct activities of research and training of researchers.

Technical Expertise

Mission: To solve the technological challenges of the companies, improve their competitiveness and collaborate with the sustainable social and economic development of the environment, all of that from a position of technological leadership and with differential abilities in their areas of expertise.

Vission: Technological center, cooperative and non-profit, known as the European leader in its areas of specialization, with an exceptional cohesive human team, that provides value to the companies and society.

Contact Details

Santiago Charramendieta
scharramendieta@ikerlan.es

Website
https://www.ikerlan.es/

Q

iGreenPort

CHALLENGE:

The quality of seawater is crucial to ensure the sustainability of ports. Coastal waters are deteriorating due to pollution and eutrophication, which is expected to increase by a further 20% by 2050. For this reason, the digitalization of port processes needs to consider the environmental perspective.

The combination of seawater quality data with information about ships characteristics and position is crucial for identifying the ships that could cause water pollution. iGreenPort addresses the real need of the Spanish Port of Palma de Mallorca to digitize the control of the seawater quality following the European Sea Ports Organization’s SDG 14 Environmental Code of Conduct, which instructs port administrations to develop tools to manage environmental problems.

SUCCESS:

iGreenPort is a cutting-edge initiative that provides port authorities and other port agents with environmental management capabilities. It offers a Data Space for sharing and accessing environmental and operational data, combining two types of data:

1) Seawater quality data, starting with turbidity among 15 indicators mandatory by law.
2) AIS data from ships, which provides information about the vessels every 3-6 seconds, including their characteristics and position. This data can be cross-referenced with the seawater quality data to determine their involvement in contaminated areas. The solution enables the authorities to make faster and more informed decisions that promote the efficiency and environmental sustainability of their ports.

BENEFITS:

Port Authorities are responsible for the prevention and control of marine pollution emergencies in their service area (Zone 1) and are investing in specialized surveillance to allow for rapid action in the event of pollution incidents. iGreenPort provides a cutting-edge tool for monitoring seawater quality in near real-time and identifying ships that could cause water pollution.

COMPONENTS:

Several DSBA-based FIWARE components are used in the iGreenPort Data Space, such as a marketplace, security component, and the storage of large amounts of real-time data. Additionally, iShare is used for multinational electronic identification

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Q

The European Legal Data Space Nucleus

SUCCESS:

The use case is describing a data space nucleus for legal information based on IDS standards. IDS is the basis for a scalable and sustainable data space and therefore a necessary ingredient for any success in the future.

COMPONENTS:

Basis is the Data Space framework developed by the TRUSTS project, which is already IDS compliant. We will investigate during the project what other IDS components we can include.

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Q

UCIMU "Data Space Committee"

Various Italian Companies associated to UCIMU-SISTEMI PER PRODURRE

SUCCESS:

Our Data Space aims to manage the ownership of data exchanged among Machine Tools manufacturers and users, in order to set up effective implementations of predictive maintenance and other value-added services.

BENEFITS:

Transparent access to all relevant ship related data
Secure, robust and efficient communication between ship and shore
Simplified provision of trusted services for ship operation
Interoperability and data sovereignty for all involved parties

COMPONENTS:

Connector
DAPS
Clearing House

Introduction

In enabling clients toward the use of data spaces, Detecon relies on established methods of data thinking and data integration to provide clients with individualized solutions. This allows for both comprehensive and focused viewpoints to be taken in delivering on the value of data spaces for organizations.

Technical Expertise

Detecon, as a technology-oriented management consultancy, supports the implementation of data spaces from both a business and technology perspective by structuring the creation of trust-based, sovereign data ecosystems across organizational boundaries using an established framework, collaboratively designing interoperable information models and data architectures, and enabling new business applications that meet specific requirements for cost-effectiveness and feasibility.

Building on competencies in data strategy, data integration, data analytics, and data-driven business models, Detecon takes a comprehensive approach to data spaces. Along the core methodology and depending on the project's scope, the target definition for the data space use case is first defined, the data ecosystem of the involved parties is assessed, and within the boundaries of these considerations, a data space can then be designed and implemented.

Contact Details

Contact
dataspace-consulting@detecon.com

Website
Data Spaces | Detecon

Q

HUAWEI Data Space

Huawei | Fraunhofer ISST

CHALLENGE:

• Data exchange economy needs a trust mechanism for cross-subject data flow for different data sharing scenarios (B2B, B2C, G2C and G2B)

• To achieve trusted framework a data usage control mechanism needs to be implemented to manage and monitor the entire process of data exchange

• Automated cross-entity data usage control policy is required with contracts and effective performance with blockchain technology

Sovereign Control should enable data owners to decide how data is used:

• Construct an ecosystem with Multi-Party Trust, for performing trustworthy authentication on organizations, individuals, and technical components through qualification assessment and certificate issuance, establish a unified trust mechanism, and ensure that participants' identities and platform environments are trusted

• Create composable policies to control data access, and set policies based on data use (ie. validity period, number of viewing times or downloads, access rights). Control use of data to ensure that data is used in compliance with laws and regulations based on data sovereignty and control

• Support data provider to verify and trace user access, and exempt consumers can be exempted from the certificate. Provide reliable and visible audit tracing services throughout the process, support providers to verify and trace, and if needed to revoke certificates from consumers, and provide corresponding audit information for third-party supervision

SUCCESS:

IDS-RAM and Eclipse Dataspace Components are at the core of a Huawei Data Space solution, that has been created to address business challenges listed above, and has been developed in compliance with and according to IDS specification (with new IDS components to be included)

BENEFITS:

Global economy consists of a variety of data suppliers and consumers in the upstream and downstream industry chains. To promote the rapid development of a data-based economy and to improve production efficiency, data must be effectively shared and data sovereignty must be guaranteed. Huawei Data Space solution provides key service value streams such as data provision, data consumption, and data operation supervision and control.
Based on an IDS Data Space technology it ensures that data flows are trusted, controllable, and verifiable. Currently, Huawei Data Space supports 16 participants, 6 business scenarios, and 21+ use control policies. 5,000+ data assets have been uploaded, and 10,000+ data exchanges have been performed, effectively supporting the in-depth business collaboration of ecosystem partners in the computing industry in R&D, manufacturing, and product services.

COMPONENTS:

Huawei Data Space uses standard open-source components, known by enterprises to ensure fast adaptability. Developed Glue-code will be made available as open source as well. It uses the following components:

1) Keycloak for Identity Federation
2) Apache Atlas as a federated service catalog
3) ELK-Stack for compliance monitoring
4) EDC v.0.2.1 (Eclipse Dataspace Connector) for policy-based Data Exchange
5) Web-UI for easy end-user access
6) Integration and Deployment code for easy deployment

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Q

The ENES Data Space

Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC) | Institut Pierre Simon Laplace (IPSL) | Centre National de Recherche Scientifique (CNRS)

CHALLENGE:

The European Network for Earth System (ENES) modeling community was launched in 2001 comprising a network of about 50 groups including public, academic, and industrial partners who agreed to work together and cooperate to discuss strategies to accelerate progress in climate, Earth system modeling and understanding.

This community is a key player in the assessments of the Intergovernmental Panel on Climate Change (IPCC) and provides the multi-model climate projections on which EU mitigation and adaptation policies are built.

The ENES community is facing new challenges as a result of the increased model complexity and the availability of emerging computing platforms. Moreover, new multi-disciplinary audiences need access to the ever-increasing volumes of data for addressing climate change societal challenges.

SUCCESS:
Data, services, and tools represent the three fundamental components of the ENES Data Space ecosystem. The data offering is at the core of the data space. However, it is important to remark that data alone would not be enough without a comprehensive ecosystem, including a wide set of tools and services enabling scientists to develop applications, analyze data, visualize results, reproduce analyses, share code, and publish new products. Through the seamless integration of these different aspects, the ENES Data Space aims to support challenging climate-related analyses and applications. IDS would play a key role in this allowing the ENES Data Space to adopt or be compliant with standards in the field, thus enabling increased data sharing based on trustworthy technology and interoperable formats.

BENEFITS:

The ENES Data Space aims to provide climate scientists with a complete ready-to-use research environment enabling them to perform scientific analysis on large climate datasets. Providing scientists with large ready-to-use datasets and software solutions closely integrated with the computing infrastructure can almost completely eliminate the setup time and dramatically increase productivity. Moreover, the possibility of easily reusing applications and sharing the research outputs represents a key aspect in the scientific analysis process towards Open Science and a more sustainable, effective, and FAIR use of data. Overall, the ENES Data Space can democratize climate data analysis by supporting new user groups and communities that do not currently have access to solutions capable of addressing such large-scale analysis.

COMPONENTS:

The ENES Data Space architecture consists of the following functional components: a) Gateway Interface and Authentication/Authorization (Identity Provider) b) Data Science Environment including i) Analytics engines ii) Data cataloging utility and related domain-specific Data Reference Syntax, controlled vocabularies, and conventions c) Cloud-Based Computing Platform; d) Data Access and Sharing services

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Q

CADS - Carbon Agri Data Space

CHALLENGE:

One of the biggest challenges in agriculture today is the use of heterogeneous data for smart farming technologies, improving soil fertility, and food quality, and reducing the impact of agricultural technologies on climate change.

Today, numerous sources of data are collected and not leveraged as much as they could be. Potential applications are huge, such as decision-support tools taking into account not only scientific recommendations but also information about the experience of using various agricultural additives for specific climatic and environmental conditions. Carbon measurement and estimation are promising applications to improve the existing systems, but also to provide new value streams for farmers.

SUCCESS:

The idea is a service for the assessment of the carbon footprint of agricultural products in the process of growing as well as tools for sound adjustment of agro-technological, organizational, and management decisions by food producers. Thanks to a data-sharing ecosystem, we will provide the opportunity for farmers (through data service providers interacting with the decentralized data-sharing infrastructure), to leverage the use of the data they already produce, combined with other data sources such as external and open data.

It will provide them with tools that will help the farmers to come up with tangible proof of their carbon impact. Also, dedicated stakeholders of the ecosystem will find go-to-market opportunities for these proofs, bringing back value for the whole ecosystem.

BENEFITS:

Data sharing will demonstrate benefits for many participants – in optimizing existing products, valorizing bi-products, and making data space partners more attractive to downstream users in selecting new primary producers for new product lines within the carbon-negative economy. Also, some outputs of the data space are valued by the market, and this value will be distributed among contributors, according to a fair business model driven by the rising price per tonne of CO2-e in the market as EU-wide sequestration targets drive large-scale investors to increase the volume of carbon-negative market products becoming available at scale (including on-farm soil carbon sequestration and long-cycle productization).

COMPONENTS:

Apollo 0.0.6
Keyrock 8.3.3 with iShare plugin
Kong 0.5.3 with iShare plugin
Orion-ld Context broker 1.5.0

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Q

iDDEN, International Dairy Data Exchange Network

iDDEN GmbH

CHALLENGE:

Enable an efficient way of JOINT usage of data under the full control of the farmer, establish ONE standard for the data exchange (data definition according to the ICAR Animal Data Exchange protocol)

SUCCESS:

By using IDDEN make redundant data hubs obsolete

BENEFITS:

Duplication in the definition of data and data exchange systems (hubs) are not necessary anymore due to one standard system.

COMPONENTS:

Veracity Industry Data Platform
IDS Connectors
IDS Identity Provider (CA, DAPS, ParIS)
IDS Metadata Broker

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Q

Increased visibility of order delivery process

VTT | Wärtsilä | Uwira

CHALLENGE:

The use case revolves around expediting and enhancing transparency between a focal company of a manufacturing ecosystem (OEM) and its supplier in their production order management processes. The existing communication methods have proven inadequate in facilitating efficient and adaptable exchanges between the two entities. By facilitating transparency and fostering a more seamless integration between the IT systems of both companies, the management of product orders can be streamlined, resulting in heightened efficiency and a reduction in errors.

SUCCESS:

The objective is to facilitate a reliable and seamless flow of data between the OEM and its supplier by establishing a dedicated data space. The developed solution will be seamlessly integrated with pre-existing IT infrastructures of both companies and the solution is grounded in the framework of the IDS reference architecture.

The OEM can selectively disclose data from their production environment to the supplier without the fear of data leakages. Respectively, the supplier receives only the data that are essential for them and there is no need to locally extract meaningful insights and valuable information from big data sets.

BENEFITS:

The established data space solution has the potential to significantly enhance transparency between the OEM and the supplier. This gives rise to several potential benefits, including:
Effective Communication: Transparent communication helps in conveying accurate information about product specifications, requirements, changes, and timelines.
Risk Management: Sharing information about potential risks, such as changes in demand or design modifications, allows suppliers to proactively address these issues. Furthermore, in times of disruptions, such as supply shortages or unexpected market shifts, transparent communication helps both parties respond more effectively.
Cost Efficiency: Transparent communication allows both parties to work together to find cost-effective solutions.

COMPONENTS:

IDS connectors - serve as the communication interface linking the two companies and their existing IT systems. With IDS connectors, a data provider can define the rules and conditions (usage policies) under which data are shared with a data consumer.
DAPS - enables connectors to authenticate themselves using X.509 certificates. After successful authentication, the DAPS issues OAuth2 access tokens for connectors, who need these tokens to access the services and data of other connectors.
Metadata Broker— stores information about the data end-points offered by the participants. The broker provides a query interface for connectors and can hence be considered as the search engine in this use case.

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Q

Data and service marketplace for energy flexibility management

VTT | European Dynamics | Caverion | Volue

CHALLENGE:

The energy ecosystem is formed by various stakeholders, including technology providers, energy service providers, aggregators, TSOs, DSOs, suppliers, balancing responsible parties, and consumers/prosumers, to name a few. These stakeholders need to get access to the building-required data for their business in a trusted and privacy-respecting way.

SUCCESS:

The Data and Service Marketplaces module provides marketplace infrastructure that enables technology and data providers to set up and deploy marketplaces to make their technology offerings easily available for energy service providers. The module provides the infrastructure for two types of marketplaces: services and data. The Data Marketplaces will be built upon IDS-compliant infrastructure that enables data providers to share data while maintaining data sovereignty.

BENEFITS:

The vibrant cross-sector energy ecosystems around the stakeholders will provide Data and Service Marketplaces that facilitate co-creation and make it as easy as possible for SMEs, start-ups and the industry to develop and deploy Demand-Side Flexibility Management solutions for customers in different sectors and market settings.

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Q

TRUSTEE - Trust and privacy preserving computing platform for cross-border federation of data

SUCCESS:

In a data-driven world, interdisciplinary and geographically dispersed data repositories naturally emerge. These repositories may not always adhere to established interdisciplinary data representation standards or participate in data federation initiatives. As a result, researchers often face limited access to valuable data, and maintaining integrity, privacy, and security during data exchanges can be exceptionally challenging, if not impossible.

The EU-funded TRUSTEE project aims to address these challenges by delivering a green, secure, trustworthy, and privacy-aware framework. This framework will aggregate data from multiple interdisciplinary repositories in sectors such as healthcare, education, energy, space, automotive, and cross-border domains. Additionally, TRUSTEE will integrate with other European data federation spaces and transnational initiatives, including IDS and Gaia-X.

This integration between the TRUSTEE framework and IDS/Gaia-X initiatives will create a synergy where additional data providers can participate, allowing IDS/Gaia-X data providers to leverage TRUSTEE's capabilities. Simultaneously, TRUSTEE users will gain access to the data hosted on e.g., IDS connectors, fostering collaboration and data sharing across domains.

COMPONENTS:

In the TRUSTEE framework, the IDS connector serves as the bridge connecting IDS data spaces to TRUSTEE, facilitating seamless data exchange between these entities. The dynamic attributes provisioning service (DAPS) enables connectors to authenticate themselves using X.509 certificates received from the Certificate Authority (CA). In TRUSTEE the metadata broker service can be utilized as an additional metadata repository enabling e.g., the TRUSTEE compatible IDS connector to discover data resources that other IDS connectors can offer for TRUSTEE platform users.

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Q

Digital assets and tools for circular value chains and manufacturing products

SUCCESS:

The EU-funded DaCapo will design human-centric digital tools and services for improving the adoption of Circular Economy (CE) strategies along both manufacturing value chains and products lifecycles (design and engineering, manufacturing, use phase and End of Life). These tools and services will greatly improve both sustainability and efficiency in manufacturing, towards digital-enabled industrial sustainability and resilience.

Digital Product Passport (DPP) stores and shares all relevant information along the product lifecycle. The data content of DPP will evolve and expand during the manufacturing value chain and provide information to the cognitive decision support systems for various human actors. Data space infrastructure's technical and organizational components (e.g., IDSA connectors) are used for ensuring the secure and trusted exchange of product-related information across stakeholders.

COMPONENTS:

IDS Connector – a test, demonstration, evaluation, and adoption of Data Spaces that can be used as a method to access/share/exchange data in the Value Chain (additional information to that included in the DPP). The solution will also utilize the TRUE (TRUsted Engineering) Connector for trusted data exchange. IDS Broker for data resource discover service IDS DAPS for identity management IDS Clearinghouse

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Q

Agriculture robot fleets and AI -as-a-service in FlexiGroBots project

VTT | LUKE (Natural Sciences Institute Finland) | MTech Digital Solutions Oy | Probot Oy | Atos

CHALLENGE:

Robots and AI as a service. How to create a network of collaborating partners and digital AI and robot control services that need to share confidential data among themselves and their systems.

SUCCESS:

The network of partners is built around IDS data space (IDSA data space - Kubernetes deployment scenario by Atos). The partners are connected by IDS connectors developed at the Data Space Innovation Lab by VTT. Data space is operated by a VTT-developed UI web application.

BENEFITS:

This data space provides easy-to-use integration of partners and networks.

COMPONENTS:

IDSA connector (VTT extended Data Space Connector)
Broker
DAPS (based on IDSA test bed)

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Q

VELES Project (HORIZON-WIDERA-2022-ACCESS-04 – 101087483)

CHALLENGE:

Bulgaria, Cyprus, Greece, and Romania are part of the countries that are lagging in terms of digitalization of the healthcare sector and innovation-driven initiatives therein (as per reports of ICT&Health, DESI Index, and others).

Current regulations in these countries provide a framework to set up centralized healthcare databases but offer no specific guidance on interoperability standards.

The innovation potential in the healthcare domain of the 4 participating widening countries is growing but specific policies and instruments for support are necessary to be adopted.

Available funding mechanisms do not encompass the whole field of Digital Health and Innovation, whereas there are many innovative start-ups and companies needing guidance in their path of innovation excellence in the healthcare domain.

COMPONENTS:

IDS-based Data Spaces

Q

DjustConnect

ILVO

CHALLENGE:

Making data sharing safe and efficient, with respect for farmers and horticulturists. For everybody in the agricultural food chain, we provide access to available data in a correct way. By feeding data to smart applications administration gets easier and advice tools get more accurate.

SUCCESS:

Offering a user-friendly dashboard to farmers and other users of the platform, guaranteeing the implementation of The European code of conduct for data sharing in agriculture and giving back control to the farmers

BENEFITS:

DjustConnect is a transparent and open platform that facilitates connections for every organization. It allows standardized methodologies for both the connection process and the transfer of data, simplifying connections as much as possible. DjustConnect actively enables and supports the ongoing digitalization of the sector.

COMPONENTS:

DjustConnect is based on the IDS architecture. We are an API-based platform, that offers centralized consent to data providers and data rights holders (farmers and horticulturists). We implement the following IDS-based components:

-Service Provider

-Clearing House

-Identity Provider

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Q

DataBri-X Project (HORIZON-CL4-2021-DATA-01-03)

SUCCESS:

Energy communities can greatly benefit from a data market strategy, where energy-related data, possibly real-time can be consistently described and searched by the different actors in the community, and where energy trade can be facilitated by security, privacy, and legal mechanisms.

BENEFITS:

The business value is to be able to analyse and assess the performance of different energy communities’ setups before any concrete investment is done. In addition, data required for simulation can be obtained via data spaces and simulation results can be made available via data spaces for further usage via other entities

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Frequently asked questions

What is the Data Space Radar?

Why should I bring my use cases/data spaces to the Data Space Radar?

Is the Data Space Radar only for members of IDSA?

Is Data Space Radar only for IDS-based endeavours?

How can I join?

Are there more ways to disseminate my use cases or data spaces once I register them on the Data Space Radar?

The maturity of my use case/data space has changed, how can I update this on the radar?

What is a cross-domain use case/data space?

Is the Data Space Radar only for European endeavors?

Any questions? Contact us!

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Horizontal Supply Chain Collaboration

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Supply Chain Manager

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ONCITE

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Data Spaces

News

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Collaborative Warranty and Quality Management

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Catena-X

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idento.one

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Deutsche Telekom - Data Intelligence Hub

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GAIA-X - A Federated Secure Data Infrastructure

NTT Testbed on Data Governance and Sovereignty Across Countries and Companies

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Smart Factory Web

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Maritime Data Space

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Smart Parking

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Smart Connected Supplier Network - Market 4.0

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Industrial Additive Manufacturing Services

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DASLOGIS - Dutch Data Spaces for Logistics