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.
Volkswagen AG | thyssenkrupp | Fraunhofer ISST
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.
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.
Two or more organizations that apply an IDS-based solution to a real-life challenge for sharing data in a sovereign way.
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.
Nadia Scandelli
nadia.scandelli@cefriel.com
VTT is the Finnish IDSA Hub (business)
1. Compatibility tests for IDS components
2. Customised IDS component development
Markus Taumberger
markus.taumberger@vtt.fi
Tuomo Tuikka
tuomo.tuikka@vtt.fi
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.
Joshua Gelhaar
joshua.Gelhaar@isst.fraunhofer.de
Website
www.dataspaces.fraunhofer.de
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.
Alexandros Nizamis
alnizami@iti.gr
Anastasia Theodouli
anastath@iti.gr
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.
BMW | Deutsche Telekom | Bosch | SAP | Siemens | ZF Friedrichshafen | Mercedes-Benz | BASF | Henkel | Schaeffler | German Edge Cloud | ISTOS | SupplyOn | DLR | Fraunhofer Gesellschaft | ARENA2036
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.
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.
Deutsche Telekom
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.
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.
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.
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.
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.
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.
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:
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,
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
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.
Tecnalia | Ekin | Engineering | Exkal | Gepro Systems | Gizelis | Goialde | Intrasoft | Kleemann |LMS Lab of the University of Patras | Prima Industrie | Rico | TNO
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.
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.
Ralf Neubauer
ralf.neubauer@msg.group
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!
Pieter Schuurmans
pieter.schuurmans@innopay.com
Alberto Berretega
alberto.berreteaga@tecnalia.com
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/
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.
Contact Form
www.teralab-datascience.fr/?lang=en#contact
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.
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.
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.
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.
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.
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).
ADAC | BMW | CARIAD / GIS AG | Deutsche Bahn | DWD | FIWARE | Fraunhofer | Fraunhofer ISST | HUK-Coburg | Initiative für sichere Straßen | PTV-Group | Software AG | T-Systems International | DENSO | EUCON | WITTE AUTOMOTIVE | Next Prototypes TUM Hyperloop | CARUSO | Fraunhofer IOSB | urban institute [ui!] | highQ | FREENOW | Fraunhofer IML | raumobil | UnternehmerTUM | bloxmove | Intertrust | LiangDao | GATE Institute | Ferdinand-Steinbeis Institut | Aparkado | Hubject | Mercedes | TenneT | AVL | TomTom | Virtual Vehice Research | Flinkey | EcoMovement | Horyzn
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.
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.
NL AIC | TNO | IKNL | Brightlands | Janssen | Philips | University Maastricht | Erasmus University | Tilburg University | Groningen University
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.
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.
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.
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:
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COMPONENTS:
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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:
COMPONENTS:
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
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:
BENEFITS:
COMPONENTS:
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.
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.
Contact
idsa@innovalia.org
Website
idsa.innovalia.org/
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.
Henna Suomi
henna.suomi@digitalliving.fi
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.
Irena Pavlova
irena.pavlova@gate-ai.eu
EDF
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.
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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.
We help to clarify the business, legal, technical and ethical questions for your data sharing network.
Fair Data Economy Rulebook model for any data ecosystem that wants implement its use case based on IDS.
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.
Marko Turpeinen
marko.turpeinen@1001lakes.com
Website
1001lakes.com
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.
Mercedes-Benz | acatech
VRN | Metropolregion Rhein-Neckar | Urban Software Institute | acatech
Haier | Fraunhofer ISST
ECI Software Solution | TNO
Ensuring our customers have up-to-date data across the supply chain in their local system.
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.
IT service providers only need a single integration to connect to their complete supply chain.
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.
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.
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.
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.
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).
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.
Data Sharing Coalition
BMDV | BASt
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.
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.
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:
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.
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, 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.
Charité | Siemens | Bundesdruckerei | 1&1 Ionos | SVA | polypoly | Vilua Healthcare | Medisana Space Technologies | Fraunhofer Gesellschaft | IDSA | Hasso-Plattner-Institut | OFFIS | Freie Universität Berlin
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.
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.
OWL | Heinz Nixdorf Institut | CITEC | CLAAS | Contact Software | Diebold Nixdorf | düspohl | FIWARE | Fraunhofer IEM | Fraunhofer IOSB - INA | Fraunhofer IPK | Hella Gutmann Solutions | inIT | inno-focus | IDSA | ProSTEP iViP | Ubermetrics | UNITY | westaflex
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.
Access to customers or the necessary domain knowledge
Promoting developments of new AI solutions
Promoting the SME sector to make artificial intelligence attractive
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.
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.
Transparency and control for citizen in the usage of their personal data related to smart city services.
We plan to make use an IDS connector that implements the MyData for Cities functionality, and is compatible with the OASC MIM4 specification.
Wuppertal | Solingen | Remscheid | APTIV
CHALLENGE:
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.
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.
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.
IPC | N. BAZOGOS S.A | OBEO | SCC | TNO | INTRASOFT | LINPRA | LMS | Lab of the University of Patras | Engineering
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.
INTRASOFT | Engineering | Industrial Data Space | Obeo | SEGULA Tecnologias Espana | Openplus Systems | Sciences & Computers Consultants | Panepistimio Patron (LMS) | TNO | Politecnico Di Milano | Tecnalia | CTIPC | Brainport Industries | Prima Industrie | LINPRA | KMWE Group | N.Bazigos ABEE | Fachverband Metalltechnische Industrie
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.
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.
IONOS | pi-lar | Atos | Plan B | Verifeye | MSG | BEM | Smart Cities Lab | Nexyo | Universität Siegen | Bergische Universität Wuppertal | Hochschule Bonn-Rhein-Sieg | Linz Center of Mechatronics GmbH | WITTE Automotive
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:
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.
truzzt | Verifeye
CHALLENGE:
Self-sovereignidentity (SSI) is an approach to digital identity that gives individuals control of their digital identities.
SUCCESS:
Trust –the key value:
IONOS | pi-lar | Verifeye | MSG | Nexyo | CommDoo | Universität Siegen | Bergische Universität Wuppertal | Hochschule Bonn-Rhein-Sieg | Linz Center of Mechatronics GmbH | GBB | University of Applied Sciences Europe
CHALLENGE:
SUCCESS:
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.
Gonzalo Gil
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.
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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Flyer, PDF
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Flyer, PDF
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Flyer, PDF
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.
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.
Angelo Marguglio
angelo.marguglio@eng.it
sovity believes in sovereign data exchange and makes the access to data spaces based on IDS technology available for every company.
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.
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.
Sebastian Kleff
sebastian.kleff@sovity.de
Website
sovity.de
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.
PwC plan to make use of IDS components within the PwC Data Ecosystem in the near future and get certified with IDSA.
ITI | Traxens | PRODEVELOP | IBM Israel | OTE | Everis | UPV | ICCS | UDE | CERTH | Fraunhofer ISST | THPPA | Valenciaport Foundation
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.
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.
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.
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.
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".
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.
Sofia Municipality | SofiaPlan, National Statistical Institute | Executive Environment Agency | Meteorological Institute | Urban Mobility Centre
CHALLENGE:
SUCCESS:
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.
ADVANEO
CHALLENGE:
SUCCESS:
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.
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.
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.
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 have been set up
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.
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.
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.
Any organization or individual seeking permission to operate components in the International Data Spaces needs to pass the Operational Environment Certification which ensures secure processes and management of components.
Comparably, each IDS component is expected to behave in adherence with IDS specifications and to protect the data which is transferred and processed. It shall allow participants to assess the possible consequences of data sharing and provide transparent information. Therefore, components need to pass the Component Certification before they may be used in the IDS.
While the certification of organizations and individuals focuses on security and trust, the certification of components additionally refers to compliance with technical requirements ensuring interoperability.
To ensure a consistent process in the certification of participants and core components, the IDS uses a certification scheme comprising all processes, rules, and standards governing the certification process. The IDS Certification Scheme follows best practices from internationally recognized certification concepts.
IDS Certification is described in the IDS Reference Architecture Model (IDS-RAM), a practitioner-oriented guide to designing and implementing architectures for data spaces.
The certification body oversees the certification process regarding quality assurance and framework governance. It defines standard evaluation procedures and supervises the actions of the evaluation facilities. A certificate is granted only if both, the evaluation facility, and the certification body have concluded that all preconditions for certification are fulfilled.
Contracted by an applicant, the evaluation facility is responsible for carrying out the detailed technical and/or organizational evaluation work during a certification process. The evaluation facility issues an evaluation report for the respective organization/individual or core component, listing details regarding the evaluation process and an assessment whether all requirements are properly fulfilled.
The approval scheme for evaluation facilities can be found here.
The applicant is not just the subject of the evaluation and certification process but plays an active part in it. An applicant needs to actively apply to trigger the certification process. During the certification process, the Applicant provides all necessary material needed for the evaluation and certification of its component or organization and supports with questions or issues arising.
For Assurance Level 1, the applicant must apply directly to the certification body to trigger the start of the certification process.
Once the certification body accepts the application, the applicant is responsible for the evaluation phase by conducting a self-assessment and providing the results to the certification body. In the certification phase, the certification body reviews the self-assessment and issues the certificate, if the self-assessment meets the defined requirements.
Fig.: Certification Process for Assurance Level 1
Assurance Level 2 and 3 require an independent evaluation facility to conduct the evaluation of the component or operational environment. The applicant must contract an evaluation facility. Together, applicant and evaluation facility finalize the application for certification with the certification body.
Afterwards, the evaluation facility is responsible for carrying out the evaluation according to the IDS certification scheme. The evaluation facility documents their progress and findings in an evaluation report which is passed on to the certification body at the end of the evaluation phase.
In the certification phase, the certification body examines the evaluation report and issues a certificate, if the evaluation was conducted properly and led to a positive evaluation result.
IDS Certification ensures that IDS components and organizations or individuals who want to participate in data sharing meet the highest security standards.
These standards are industry-proven security criteria derived from ISO/IEC 27001 (international standard for information security management) and IEC 62443 (cybersecurity for operational technology in automation and control systems). In addition, IDS Certification implements security criteria defined in the Cloud Computing Compliance Criteria Catalogue
(C5) and the CSA Cloud Controls Matrix. Finally, IDS certification captures IDS specific criteria.
The certification criteria are defined in the IDS Certification criteria catalogs.
IDS Certification ensures that IDS components and organizations or individuals who want to participate in data sharing provide a sufficiently high degree of trust and security. Nevertheless, the IDS Certification has a flexible setup and provides different levels of certification according to the intended use cases.
To ensure on the one hand a low entry barrier specifically suitable for SME’s and on the other hand a scalable certification to meet high information security requirements, three different security levels, with an increasing extent of the security requirements that need to be fulfilled, were defined:
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
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.
IDS Broker as virtual market place
IDS Identity Provider
IDS Clearing House
Trustful cross-company data exchange requires secure soft- and hardware components. All IDS components must meet a list of certification criteria to prove the provision of the required functionality, interoperability, and level of security. The evaluation of these certification criteria is conducted in the IDS core component certification.
The depth and rigor of a component evaluation consists of the following three assurance levels, independent on the type of component that is being certified:
The criteria that make up each of the three trust levels for a Connector are defined in such a way that they are specific enough to ensure interoperability with the functional requirements of an IDS Connector, yet general enough, to allow the use of a Connector in different deployment scenarios without having to define different criteria catalogues for each separate use case.
The following three trust levels are defined for the certification of a Connector:
The following figure illustrates all possible combinations of assurance and trust level, that an applicant can choose from.
This matrix approach allows the component developer to select a combination of assurance and trust level for their component that best correspond with the intended use cases.
On the one hand, this ensures a low entry barrier specifically suitable for SMEs. On the other hand, a scalable certification to meet high information security requirements becomes possible. purposes.
Participants in the International Data Spaces share valuable data. It is essential that all participant's organizational processes and operational environments are trustworthy. This trustworthiness is evaluated in the IDS operational environment certification.
Central elements of the IDS operational environment certification are the different trust levels and assurance levels. The IDS established these levels to offer suitable certification profiles for different use case requirements.
On one side, the following three trust levels are established:
Higher Trust Level represent the increasing number of criteria which needs to be fulfilled for a successful certification.
On the other side, the following three assurance levels are established:
Higher assurance level represent the increasing demand for more reliable evidence that needs to be presented in different evaluation methods to prove compliance with the certification criteria.
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”.
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.
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.
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
Data Intelligence Initiative (DIO)| KELAG-Kärntner Elektrizitäts-Aktiengesellschaft | Forschung Burgenland | Österreich Werbung | Hutchison Drei Austria GmbH | Upstream - next level mobility GmbH | Siemens Österreich | Advoodle GmbH / ESG Chain | Energieinstitut an der JKU Linz | Wiener Stadtwerke | EY Ernst & Young Management Consulting GmbH | BrainBox AI | BNN - BioNanoNet Forschungsgesellschaft mbH | Nexyo |Amazon Web Services | Microsoft | Hewlett Packard Enterprise
Pilotfabrik Industrie 4.0 | TU Wien | Concircle Österreich | craftworks | Stark Spannsysteme | A1 Digital International | WFL Millturn Technologies | Plasser & Theurer | Export von Bahnbaumaschinen | Gesellschaft m.b.H. | EIT Manufacturing East | PTW TU Darmstadt | IGH Infotec | Gebrüder Heller Maschinenfabrik | Software AG | Brinkhaus | EIT Manufacturing Central
CHALLENGE:
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/.
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.
What is a data space, why is data sovereignty key to draw value out of data, and why is IDS the world-best standard for this? You can just experience it, because it's all open (source) to you. And stay tuned.
IDS-Ram
Rule Book
Design Principles
All White Papers
All Position Papers
This is the main repository of International Data Spaces Association on GitHub, where you can find general overview and useful information on IDS Landscape.
IDS-G
The Information Model of the International Data Spaces implements the IDS reference architecture as an extensible, machine readable and technology independent data model.
The Knowledge Base is the store of information that relies on IDS expertise, that is meant to support building IDS components and contribute to the existing open source components.
Interact with like-minded people about data spaces. Get valuable advices about how to build an own data space. Or bring in your expertise and help others build their date space. Your ides, your view and your opinion is welcome.
Data Intelligence Initiative (DIO) | Spatial Services | Ubimet | Zentrum für Virtual Reality und Visualisierung (VRVis) | Österreichischer Dachverband für Geoinformation (AGEO) | Climate Lab | Nexyo | Amazon Web Services | Microsoft | Hewlett Packard Enterprise
A digital twin links several models of predictable features of an object and enables the simulation of scenarios of the same. In this way, the impact of new technologies on local climate, air quality and health can be demonstrated.
Developing a digital twin (or digital shadow) requires access to different data sources, efficient data management and data cleansing strategies. In addition, it requires resources for computationally intensive modelling, as well as evaluation processes and (online) feedback on the simulated entity. The possibility to exchange data in a decentralised way while maintaining data sovereignty is a key enabling factor.
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.
Data Intelligence Initiative (DIO) | Digi-Cycle | Fraunhofer Austria | Sustainista | Amazon Web Services | Microsoft | Hewlett Packard Enterprise
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.
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)
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.
Data Intelligence Initiative (DIO) | ÖAMTC | Austrian Institute of Technology | Hutchison Drei | Upstream – next level mobility | Ubimet | Zühlke Engineering | Fraunhofer Austria | FH Steyr Logistikum | Forschung Burgenland | FH Joanneum | Österreich Werbung | Kuratorium für Verkehrssicherheit | AVL List | Weblyzard | Tech meets legal | Spar Business Services - (ICS) | Invenium | Accenture | SpotOn Statistics | ÖBB | Pierer Innovation | Porsche Holding | Nexyo | AWS | Microsoft | Hewlett Packard Enterprise
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.
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.
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.
Data Intelligence Initiative (DIO) | Austrian National Tourist Office | Ubimet | Upstream – next level mobility | Regional tourism associations | Nexyo | Amazon Web Services | Microsoft | Hewlett Packard Enterprise
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.
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.
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.
CASP S.A. | GIZELIS S.A. | KLEEMANN HELLAS S.A.
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.
CASP S.A. | MORPHICA srl
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.
Orbiter
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.
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.
Fraunhofer IOSB | Fraunhofer IOSB-AST | Fraunhofer ISST | Fraunhofer ITWM | Bauhaus-Universität Weimar | Bosch | BPV | Ernst-Abbe-Fachhochschule Jena | HighQ | Innoman | Siemens | Landeshauptstadt Erfurt | NT.AG
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.
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.
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.
Atos
Providing the services required to create a Data Space in cloud infrastructures requires relying on Kubernetes for deployment and orchestration.
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.
Adoption of industry standards to Data Space deployment and operation.
IDS Testbed Components
Tecnalia | VUB | Engie | ENG | Fraunhofer | UDGA
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.
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.
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.
Several IDS components have been developed PLATOON which have been added into IDSA Github:
SAMPOL | MINSAIT-INDRA | TECNALIA | ENG | FRAUNHOFER | UDGA
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.
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.
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.
Several IDS components have been developed PLATOON which have been added into IDSA Github:
Giroa Veolia | Sisteplant | Barbara | Tecnalia | ENG | Fraunhofer | UDGA
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.
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.
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.
Several IDS components have been developed PLATOON which have been added into IDSA Github:
