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Data Spaces

Overview of attention for book
Cover of 'Data Spaces'

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
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49 tweeters


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Data Spaces
Published by
Springer International Publishing, June 2022
DOI 10.1007/978-3-030-98636-0
978-3-03-098635-3, 978-3-03-098636-0

Curry, Edward, Scerri, Simon, Tuikka, Tuomo

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Twitter Demographics

The data shown below were collected from the profiles of 49 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 25%
Student > Master 4 20%
Unspecified 2 10%
Other 1 5%
Unknown 8 40%
Readers by discipline Count As %
Computer Science 3 15%
Unspecified 2 10%
Psychology 1 5%
Engineering 1 5%
Unknown 13 65%