rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Designing Data Spaces
    sub title: The Ecosystem Approach to Competitive Advantage
  name:
    name part: Otto, Boris.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: ten Hompel, Michael.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Wrobel, Stefan.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2022
    edition: 1st ed. 2022.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XV, 580 pages 151 illustrations, 140 illustrations in color)
  abstract: 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", 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.
  table of contents: 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.
  note: edited by Boris Otto, Michael ten Hompel, Stefan Wrobel.
  note: Open Access
  subject:
    topic: Application software
  subject:
    topic: Big data
  subject:
    topic: Expert systems (Computer science)
  subject:
    topic: Information storage and retrieval systems
  subject:
    topic: Computer and Information Systems Applications
  subject:
    topic: Big Data
  subject:
    topic: Knowledge Based Systems
  subject:
    topic: Information Storage and Retrieval
  classification: QA76.76.A65
  classification: 005.3
  related item:
    title info:
      title: Springer Nature eBook
  identifier: 9978-3-030-93975-5
  identifier: 9783030939755
  identifier: https://doi.org/10.1007/978-3-030-93975-5
  access condition: Open Access
  record info:
    record creation date: 220721
    record change date: 20230829014730.9
    record identifier: in00004661741