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Data spaces : design, deployment and future directions / Edward Curry, Simon Scerri, Tuomo Tuikka, editors.

Curry, Edward, editor.; Scerri, Simon, editor.; Tuikka, Tuomo, editor.
2022
QA76.9.D26
Available Online
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Title
Data spaces : design, deployment and future directions / Edward Curry, Simon Scerri, Tuomo Tuikka, editors.
ISBN
9783030986360 (electronic bk.)
3030986365 (electronic bk.)
9783030986353
DOI
https://doi.org/10.1007/978-3-030-98636-0
Published
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource (xx, 357 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-98636-0 doi
Call Number
QA76.9.D26
Dewey Decimal Classification
005.74/3
Summary
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 understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical.
Access Note
Open access.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 14, 2022).
Added Author
Curry, Edward, editor.
Scerri, Simon, editor.
Tuikka, Tuomo, editor.
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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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