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001 978-3-030-93975-5
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007 cr nn 008mamaa
008 220721s2022 sz | s |||| 0|eng d
020 _a9783030939755
_9978-3-030-93975-5
024 7 _a10.1007/978-3-030-93975-5
_2doi
050 4 _aQA76.76.A65
072 7 _aUB
_2bicssc
072 7 _aCOM005000
_2bisacsh
072 7 _aUX
_2thema
082 0 4 _a005.3
_223
245 1 0 _aDesigning Data Spaces
_h[electronic resource] :
_bThe Ecosystem Approach to Competitive Advantage /
_cedited by Boris Otto, Michael ten Hompel, Stefan Wrobel.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXV, 580 p. 151 illus., 140 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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.
506 0 _aOpen Access
520 _aThis 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”, eg 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.
650 0 _aApplication software.
650 0 _aBig data.
650 0 _aExpert systems (Computer science).
650 0 _aInformation storage and retrieval systems.
650 1 4 _aComputer and Information Systems Applications.
650 2 4 _aBig Data.
650 2 4 _aKnowledge Based Systems.
650 2 4 _aInformation Storage and Retrieval.
700 1 _aOtto, Boris.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aten Hompel, Michael.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWrobel, Stefan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030939748
776 0 8 _iPrinted edition:
_z9783030939762
776 0 8 _iPrinted edition:
_z9783030939779
856 4 0 _uhttps://doi.org/10.1007/978-3-030-93975-5
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-SOB
999 _c37425
_d37425