Data Spaces : : Design, Deployment and Future Directions / / edited by Edward Curry, Simon Scerri, Tuomo Tuikka.

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for...

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Bibliographic Details
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Place / Publishing House:Cham : : Springer International Publishing :, Imprint: Springer,, 2022.
Year of Publication:2022
Edition:1st ed. 2022.
Language:English
Physical Description:1 online resource (XX, 357 p. 77 illus., 59 illus. in color.)
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Table of Contents:
  • Data Spaces: Design, Deployment, and Future Directions
  • Part I: Design
  • An Organizational Maturity Model for Data Spaces: A Data Sharing Wheel Approach
  • Data Platforms for Data Spaces
  • Technological Perspective of Data Governance in Data Space Ecosystems
  • Increasing Trust for Data Spaces with Federated Learning
  • KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform
  • Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software
  • AI-Based Hybrid Data Platforms
  • Part II: Deployment
  • A Digital Twin Platform for Industrie 4.0
  • A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS)
  • Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space
  • Data Space Best Practices for Data Interoperability in FinTechs
  • TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration
  • Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace
  • Part III: Future Directions
  • Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research
  • Common European Data Spaces: Challenges and Opportunities.