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Data Spaces

Overview of attention for book
Data Spaces
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Data Spaces: Design, Deployment, and Future Directions
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    Chapter 2 An Organizational Maturity Model forData Spaces: A Data Sharing Wheel Approach
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    Chapter 3 Data Platforms for Data Spaces
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    Chapter 4 Technological Perspective of Data Governance in Data Space Ecosystems
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    Chapter 5 Increasing Trust for Data Spaces with Federated Learning
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    Chapter 6 KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform
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    Chapter 7 Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software
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    Chapter 8 AI-Based Hybrid Data Platforms
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    Chapter 9 A Digital Twin Platform for Industrie 4.0
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    Chapter 10 A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS)
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    Chapter 11 Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space
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    Chapter 12 Data Space Best Practices for Data Interoperability in FinTechs
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    Chapter 13 TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration
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    Chapter 14 Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace
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    Chapter 15 Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research
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    Chapter 16 Common European Data Spaces: Challenges and Opportunities
Attention for Chapter 6: KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform
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Chapter title
KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform
Chapter number 6
Book title
Data Spaces
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-030-98636-0_6
Book ISBNs
978-3-03-098635-3, 978-3-03-098636-0
Authors

Gabrielli, Silvia, Krenn, Stephan, Pellegrino, Donato, Pérez Baún, Juan Carlos, Pérez Berganza, Pilar, Ramacher, Sebastian, Vandevelde, Wim

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X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Social Sciences 1 33%
Unknown 2 67%

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