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Data Spaces : Design, Deployment and Future Directions
other
Editor(s):
Edward Curry
,
Simon Scerri
,
Tuomo Tuikka
Publication date
(Print):
2022
Publisher:
Springer International Publishing
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New directions in predictive processing
Author and book information
Book
ISBN (Print):
978-3-030-98635-3
ISBN (Electronic):
978-3-030-98636-0
Publication date (Print):
2022
DOI:
10.1007/978-3-030-98636-0
SO-VID:
6e7fad4f-f38f-402f-91c8-b85edd3e50b5
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Book chapters
pp. 1
Data Spaces: Design, Deployment, and Future Directions
pp. 21
An Organizational Maturity Model forData Spaces: A Data Sharing Wheel Approach
pp. 43
Data Platforms for Data Spaces
pp. 65
Technological Perspective of Data Governance in Data Space Ecosystems
pp. 89
Increasing Trust for Data Spaces with Federated Learning
pp. 107
KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform
pp. 131
Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software
pp. 147
AI-Based Hybrid Data Platforms
pp. 173
A Digital Twin Platform for Industrie 4.0
pp. 201
A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS)
pp. 227
Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space
pp. 249
Data Space Best Practices for Data Interoperability in FinTechs
pp. 265
TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration
pp. 293
Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace
pp. 319
Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research
pp. 337
Common European Data Spaces: Challenges and Opportunities
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