Overview
- This book is is open access which means you have free and unlimited access
- Educates data space designers to understand what is required to create a successful data space
- Explores the cutting-edge theory, technologies, methodologies, and best practices for data spaces
- Captures lessons and experiences in creating data spaces based on real-world projects in various industry sectors
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Table of contents (16 chapters)
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Front Matter
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Design
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Front Matter
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Deployment
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
About the editors
Simon Scerri has over 15 years of research experience exploring Knowledge Graph methodologies and applications, with the objective of strengthening and diversifying Data Value Chains to realise various data infrastructures. Currently, Simon fulfils the role of a senior technical consultant at metaphacts GmbH, Germany. Previously, Simon fronted the Knowledge Graph competency area at the Enterprise Information Systems department in Fraunhofer IAIS.
Tuomo Tuikka is the Lead of Data Space Solutions at VTT Technical Research Centre of Finland. He is involved in many European and national research and innovation activities especially on data spaces, data infrastructures, big data, and artificial intelligence. Tuomo is a member of the Board of the Big Data Value Association, the Gaia-X Finland hub steering group, and leads the data analytics spearhead program at the city of Oulu.
Bibliographic Information
Book Title: Data Spaces
Book Subtitle: Design, Deployment and Future Directions
Editors: Edward Curry, Simon Scerri, Tuomo Tuikka
DOI: https://doi.org/10.1007/978-3-030-98636-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Hardcover ISBN: 978-3-030-98635-3Published: 09 September 2022
Softcover ISBN: 978-3-030-98638-4Published: 09 September 2022
eBook ISBN: 978-3-030-98636-0Published: 08 September 2022
Edition Number: 1
Number of Pages: XX, 357
Number of Illustrations: 18 b/w illustrations, 59 illustrations in colour
Topics: Database Management, Statistics, general, Computer Applications, Computer System Implementation, Systems and Data Security