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.
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
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.
Exchange and usage of data leads to process improvements
Increased transparency in automotive supply chains
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.
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
Two or more organizations that collaborate to apply an IDS-based solution to a real-life challenge
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.
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.
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.
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.
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.
Increased exchange of quality data along the supply chain
Timely discovery of evolving quality issues
Parallelizing previously linear business processes
BMW | Deutsche Telekom | Bosch | SAP | Siemens | ZF Friedrichshafen | Mercedes-Benz | BASF | Henkel | Schaeffler | German Edge Cloud | ISTOS | SupplyOn | DLR | Fraunhofer Gesellschaft | ARENA2036
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.
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.
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
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.
The "Telekom Data Intelligence Hub” is intended to serve as a digital connection between companies and be both a source for commercial data acquisition and open data. The platform offers users tools for analysis in addition to acquisition, exchange and processing of data. Industry experts, e.g. programmers, data engineers, data journalists and data scientists, get the possibility to develop new business models, data-driven products or services. In a nutshell the it is relevant for companies of all sizes and industries but also for universities, for example, that develop models for the combination of data and algorithms to attain new insights.
Secure and controllable data exchange including administration of user rights
Secure working environments for analysis tools to develop data-driven products and services
Simple search and use of data beyond company borders
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.
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.
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
Fraunhofer IOSB | Platform Industrie 4.0 | Industrial Internet Consortium (IIC) | KETI | Microsoft | SAP
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.
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
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.
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.
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
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.
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.
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.
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
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,
Creating a trustworthy ecosystem for transfer of valuable and IP-relevant engineering data
Processing industrial AM orders in a fast, traceable and reliable manner
TNO | BIC | University of Twente | iSHARE Foundation | Emons Group |Dexes Data Exchange | Stichting ICTU | Transfides | Rojo Consultancy B.V. | Koninklijke KPN N.V. | IJssel Technologies | Marlin Supply Chain Connections B.V. | Visma Connect B.V. | 4PL Intermodal GmbH
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.
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.
Enables the discovery and controlled sharing of (potentially) sensitive data
Offers flexibility, extensibility and personalisation to support data exchange in logistics
Tecnalia | Ekin | Engineering | Exkal | Gepro Systems | Gizelis | Goialde | Intrasoft | Kleemann |LMS Lab of the University of Patras | Prima Industrie | Rico | TNO
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.
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.
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:
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.
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.
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.
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.
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.
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!
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 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.
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
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.
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.
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.
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)
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.
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)
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.
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.
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.
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
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).
acatech | IDSA | DWD | Door2Door | BMW | HERE | VDA | VDV | Lufthansa | Hamburger Hochbahn | Bosch | Volkswagen | Deutsche Bahn | TIER Mobility | Daimler | VW | Audi | Fraunhofer | ZF | Free Now |PTV Group | Caruso | FIWARE | highQ | ui!
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.
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.
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
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)
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.
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.
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.
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
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.
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
National Platform for the Future of Mobility (NPM) | 31 companies and organizations from Hamburg and the area
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.
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.
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.
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.
VOLKSWAGEN| VISUAL COMPONENTS| IDSA | ASTI MOBILE ROBOTICS | TELEFONICA| UNINOVA| UNINOVA| TTTECH | RISC | PHILIPS | Imec |CRF | SIEMENS | PRIMA INDUSTRIE| POLITECNICO DI MILANO| Gestamp Servicios| i2CAT| TRIMEK | PD | CAPVIDIA| VOLVO | CHALMERS | WHIRLPOOL | SAS Institute | BENTELER | it's OWL Clustermanagement | FRAUNHOFER | ATLANTIS ENGINEERING | GF MACHINING SOLUTIONS | EPFL| ATB Bremen | University of Bonn | ITI | THE UNIVERSITY OF EDINBURGH | IMT| FIWARE| ERCIM| IBM ISRAEL | ESI GROUP | Eneo Tecnologia Sociedad De Responsabilidad Limitada| SOFTWARE QUALITY SYSTEMS SA | CARSA| INTRASOFT| UTRC| FRATELLI PIACENZA| Ria Stone| Unparallel Innovation, Lda| Leibniz Universität Hannover| NEMAK | DOMINA | TTTECH INDUSTRIAL AUTOMATION
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.
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
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
An initiative or alliance of organizations aiming at creating a data space
Levels of Maturity
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
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.
IDS-based solution has been implemented and first prototypes have been tested in a use case pilot.
Use case is running live and data flows in a sovereign way between data sharing parties.
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.
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 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.
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.
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.
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.
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.
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
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.
Opportunity to build comprehensive models, analytics frameworks and improve multiparty collaboration capabilities needed to support digital ecosystems. It lays foundations of virtual plants with their benefits
Backbone for renewables operator to ensure continuity of technical data along lifecycle
Real accelerator for Greenfields and brownfields assets to deliver more safely, more quickly more efficiently and with a lower Total Cost of Ownership
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.
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
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.
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
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.
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
Digitize purchasing and sales processes and work together more efficiently in your logistics chain. Reduce manual work. Speed up your order process.ECI Gatewise is an initiative of ECI Software Solutions for manufacturing companies and their suppliers. 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.The ERP's of ECI contain this solution as a standard module. This means that all manufacturing companies with an ERP of ECI can be connected within a few hours of implementation. After this implementation, they are technically ready to do business, with all connected suppliers.The infrastructure of ECI Gatewise uses the SCSN infrastructure. The SCSN Foundation created standard IDS Connectors and Data Apps, which is used by service provider ECI Gatewise. ECI Gatewise is an off-the-shelve integration with our complete portfolio of ERP systems; Bemet, Inventive, Proteus, Ridder iQ and Trimergo. This way we can very easily connect manufacturing companies to the network.
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
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.
Access to internal, external and open data offerings.
Complete control: Sovereign data sharing by IDS-standards
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.
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
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.
Privacy-Aware, intelligent and Resilient Crisis Management (PAIRS)
Advaneo | Fraunhofer IPA | FIR e.V. RWTH Aachen | DFKI | THW | Bisping Medizintechnik | SICK | Tiplu | OFFIS | IBM | Universität des Saarlandes
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.
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.
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).
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.
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.
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 MDM is right in the middle of the action.
Whenever you aim to provide or find high quality mobility data in Germany, you can hardly get around the Mobility Data Marketplace (MDM). As neutral B2B platform MDM offers suppliers and users of mobility to share, search and subscribe to traffic-relevant online data.
With its defined standards for data exchange – based on IDS components, MDM is nation’s biggest volume of information on traffic flows, traffic jams, road works, mobility options, parking facilities and more.
The MDM 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, open-data-oepnv.de. Such parallel data offers will gradually be made visible on the MDM as well. The evolution of MDM also will lead to an alignment with the Mobility Data Space (MDS) (link to previous posts) which will grant data sovereignty for MDM customers beyond the border of the marketplace and open up the entire marketplace to participants of MDS.
Better traffic management through exchange of traffic data with other municipalities
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 traffic data
New research impetus through broad, easily available data suppl