Data Spaces

1. Front Matter

   Pages i-xx

   PDF

2. Data Spaces: Design, Deployment, and Future Directions

   • Edward Curry, Simon Scerri, Tuomo Tuikka

   Pages 1-17Open Access

3. Design

   1. Front Matter

      Pages 19-19

      PDF

   2. An Organizational Maturity Model forData Spaces: A Data Sharing Wheel Approach

      • Edward Curry, Tuomo Tuikka

      Pages 21-42Open Access

   3. Data Platforms for Data Spaces

      • Amin Anjomshoaa, Santiago Cáceres Elvira, Christian Wolff, Juan Carlos Pérez Baún, Manos Karvounis, Marco Mellia et al.

      Pages 43-64Open Access

   4. Technological Perspective of Data Governance in Data Space Ecosystems

      • Ana I. Torre-Bastida, Guillermo Gil, Raúl Miñón, Josu Díaz-de-Arcaya

      Pages 65-87Open Access

   5. Increasing Trust for Data Spaces with Federated Learning

      • Susanna Bonura, Davide dalle Carbonare, Roberto Díaz-Morales, Ángel Navia-Vázquez, Mark Purcell, Stephanie Rossello

      Pages 89-106Open Access

   6. KRAKEN: A Secure, Trusted, Regulatory-Compliant, and Privacy-Preserving Data Sharing Platform

      • Silvia Gabrielli, Stephan Krenn, Donato Pellegrino, Juan Carlos Pérez Baún, Pilar Pérez Berganza, Sebastian Ramacher et al.

      Pages 107-130Open Access

   7. Connecting Data Spaces and Data Marketplaces and the Progress Toward the European Single Digital Market with Open-Source Software

      • Achille Zappa, Chi-Hung Le, Martín Serrano, Edward Curry

      Pages 131-146Open Access

   8. AI-Based Hybrid Data Platforms

      • Vassil Vassilev, Sylvia Ilieva, Iva Krasteva, Irena Pavlova, Dessisslava Petrova-Antonova, Wiktor Sowinski-Mydlarz

      Pages 147-170Open Access

4. Deployment

   1. Front Matter

      Pages 171-171

      PDF

   2. A Digital Twin Platform for Industrie 4.0

      • Magnus Redeker, Jan Nicolas Weskamp, Bastian Rössl, Florian Pethig

      Pages 173-200Open Access

   3. A Framework for Big Data Sovereignty: The European Industrial Data Space (EIDS)

      • Christoph Mertens, Jesús Alonso, Oscar Lázaro, Charaka Palansuriya, Gernot Böge, Alexandros Nizamis et al.

      Pages 201-226Open Access

   4. Deploying a Scalable Big Data Platform to Enable a Food Safety Data Space

      • Mihalis Papakonstantinou, Manos Karvounis, Giannis Stoitsis, Nikos Manouselis

      Pages 227-248Open Access

   5. Data Space Best Practices for Data Interoperability in FinTechs

      • Martín Serrano, Edward Curry, Richards Walsh, Gavin Purtill, John Soldatos, Maurizio Ferraris et al.

      Pages 249-264Open Access

   6. TIKD: A Trusted Integrated Knowledge Dataspace for Sensitive Data Sharing and Collaboration

      • Julio Hernandez, Lucy McKenna, Rob Brennan

      Pages 265-291Open Access

   7. Toward an Energy Data Platform Design: Challenges and Perspectives from the SYNERGY Big Data Platform and AI Analytics Marketplace

      • Fenareti Lampathaki, Evmorfia Biliri, Tasos Tsitsanis, Kostas Tsatsakis, Dimitris Miltiadou, Konstantinos Perakis

      Pages 293-315Open Access

5. Future Directions

   1. Front Matter

      Pages 317-317

      PDF

   2. Privacy-Preserving Techniques for Trustworthy Data Sharing: Opportunities and Challenges for Future Research

      • Lidia Dutkiewicz, Yuliya Miadzvetskaya, Hosea Ofe, Alan Barnett, Lukas Helminger, Stefanie Lindstaedt et al.

      Pages 319-335Open Access

   3. Common European Data Spaces: Challenges and Opportunities

      • Simon Scerri, Tuomo Tuikka, Irene Lopez de Vallejo, Edward Curry

      Pages 337-357Open Access

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.

• Data Platforms
• Data Spaces
• Data Sharing
• Data Lifecycle
• Platform Architectures
• Data Life Cycle
• Regulatory Compliance
• Open Access

• Insight SFI Research Centre for Data Analytics, University of Galway, Galway, Ireland

  Edward Curry

• metaphacts GmbH, Walldorf, Germany

  Simon Scerri

• VTT Technical Research Centre of Finland, Oulu, Finland

  Tuomo Tuikka

Edward Curry is the Established Professor of Data Science and Director of the Insight SFI Research Centre for Data Analytics at University of Galway, Ireland. Edward has contributed to the foundations of data spaces with contributions to semantics, knowledge graphs, incremental data management, data governance, and multimodal processing. Edward is co-founder and elected Vice President of the Big Data Value Association, an industry-led European big data community.

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.