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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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.