Designing Data Spaces

Part I: Foundations and Context. - 1. The Evolution of Data Spaces. - 2. How to Build, Run, and Govern Data Spaces. - 3. International Data Spaces in a Nutshell. - 4. Role of Gaia-X in the European Data Space Ecosystem. - 5. Legal Aspects of IDS: Data Sovereignty What Does It Imply? . - 6. Tokenomics: Decentralized Incentivization in the Context of Data Spaces. - Part II: Data Space Technologies. - 7. The IDS Information Model: A Semantic Vocabulary for Sovereign Data Exchange. - 8. Data Usage Control. - 9. Building Trust in Data Spaces. - 10. Blockchain Technology and International Data Spaces. - 11. Federated Data Integration in Data Spaces. - 12. Semantic Integration and Interoperability. - 13. Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning. - 14. IDS as a Foundation for Open Data Ecosystems. - 15. Defining Platform Research Infrastructure as a Service (PRIaaS) for Future Scientific Data Infrastructure. - Part III: Use Cases and Data Ecosystems. - 16. Silicon Economy:Logistics as the Natural Data Ecosystem. - 17. Agricultural Data Space. - 18. Medical Data Spaces in Healthcare Data Ecosystems. - 19. Industrial Data Spaces. - 20. Energy Data Space. - 21. Mobility Data Space. - Part IV: Solutions and Applications. - 22. Data Sharing Spaces: The BDVA Perspective. - 23. Data Platform Solutions. - 24. FIWARE for Data Spaces. - 25. Sovereign Cloud Technologies for Scalable Data Spaces. - 26. Data Space Based on Mass Customization Model. - 27. Huawei and International Data Spaces. - International Collaboration Between Data Spaces and Carrier



Networks. - 29. From Linear Supply Chains to Open Supply Ecosystems. - 30. Data Spaces: First Applications in Mobility and Industry. - 31. Competition, Security, and Transparency: Data in Connected Vehicles. - Data Space Functionality. - The Energy Data Space: The Path to a European Approach for Energy.