Designing data spaces : the ecosystem approach to competitive advantage / Boris Otto, Michael ten Hompel, Stefan Wrobel, editors.
Otto, Boris, editor.; Ten Hompel, Michael, editor.; Wrobel, Stefan, editor.
2022
QA76.9.D3
Available Online

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Title Designing data spaces : the ecosystem approach to competitive advantage / Boris Otto, Michael ten Hompel, Stefan Wrobel, editors.
ISBN 9783030939755 (electronic bk.)
3030939758 (electronic bk.)
9783030939748
3030939774
9783030939779
303093974X
DOI https://doi.org/10.1007/978-3-030-93975-5
Published Cham : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (xv, 580 pages) : illustrations (chiefly color)
Item Number 10.1007/978-3-030-93975-5 doi
Call Number QA76.9.D3
Dewey Decimal Classification 005.75/65
Summary This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries. To this end, the book is structured in four parts: Part I "Foundations and Contexts" provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II "Data Space Technologies" subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various "Use Cases and Data Ecosystems" from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several "Solutions and Applications" including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more. Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty.
Access Note Open access
Source of Description Online resource; title from PDF title page (SpringerLink, viewed August 3, 2022).
Added Author Otto, Boris, editor.
Ten Hompel, Michael, editor.
Wrobel, Stefan, editor.
Available in Other Form Designing Data Spaces
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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.

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