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Data Spaces Design, Deployment and Future Directions /

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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
Corporate Author: SpringerLink (Online service)
Other Authors: Curry, Edward (Editor), Scerri, Simon (Editor), Tuikka, Tuomo (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Subjects:
Database management.
Quantitative research.
Application software.
Computer systems.
Data protection.
Database Management.
Data Analysis and Big Data.
Computer and Information Systems Applications.
Computer System Implementation.
Data and Information Security.
Online Access:Link to Metadata
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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.

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