Designing Data Spaces

1. Front Matter

   Pages i-xv

   PDF

2. Foundations and Context

   1. Front Matter

      Pages 1-1

      PDF

   2. The Evolution of Data Spaces

      • Boris Otto

      Pages 3-15Open Access

   3. How to Build, Run, and Govern Data Spaces

      • Lars Nagel, Douwe Lycklama

      Pages 17-28Open Access

   4. International Data Spaces in a Nutshell

      • Heinrich Pettenpohl, Markus Spiekermann, Jan Ruben Both

      Pages 29-40Open Access

   5. Role of Gaia-X in the European Data Space Ecosystem

      • Hubert Tardieu

      Pages 41-59Open Access

   6. Legal Aspects of IDS: Data Sovereignty—What Does It Imply?

      • Alexander Duisberg

      Pages 61-90Open Access

   7. Tokenomics: Decentralized Incentivization in the Context of Data Spaces

      • Jan Jürjens, Simon Scheider, Furkan Yildirim, Michael Henke

      Pages 91-108Open Access

3. Data Space Technologies

   1. Front Matter

      Pages 109-109

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   2. The IDS Information Model: A Semantic Vocabulary for Sovereign Data Exchange

      • Christoph Lange, Jörg Langkau, Sebastian Bader

      Pages 111-127Open Access

   3. Data Usage Control

      • Christian Jung, Jörg Dörr

      Pages 129-146Open Access

   4. Building Trust in Data Spaces

      • Monika Huber, Sascha Wessel, Gerd Brost, Nadja Menz

      Pages 147-164Open Access

   5. Blockchain Technology and International Data Spaces

      • Wolfgang Prinz, Thomas Rose, Nils Urbach

      Pages 165-180Open Access

   6. Federated Data Integration in Data Spaces

      • Matthias Jarke, Christoph Quix

      Pages 181-194Open Access

   7. Semantic Integration and Interoperability

      • Sören Auer

      Pages 195-210Open Access

   8. Data Ecosystems: A New Dimension of Value Creation Using AI and Machine Learning

      • Dirk Hecker, Angelika Voss, Stefan Wrobel

      Pages 211-224Open Access

   9. IDS as a Foundation for Open Data Ecosystems

      • Fabian Kirstein, Vincent Bohlen

      Pages 225-240Open Access

   10. Defining Platform Research Infrastructure as a Service (PRIaaS) for Future Scientific Data Infrastructure

       • Yuri Demchenko, Cees de Laat, Wouter Los, Leon Gommans

       Pages 241-260Open Access

4. Use Cases and Data Ecosystems

   1. Front Matter

      Pages 261-261

      PDF

   2. Silicon Economy: Logistics as the Natural Data Ecosystem

      • Michael ten Hompel, Michael Schmidt

      Pages 263-278Open Access

This open access book provides a comprehensive view on data ecosystems and platform economics from methodical and technological foundations up to reports from practical implementations and applications in various industries.

To this end, the book is structured in four parts: Part I “Foundations and Contexts” provides a general overview about building, running, and governing data spaces and an introduction to the IDS and GAIA-X projects. Part II “Data Space Technologies” subsequently details various implementation aspects of IDS and GAIA-X, including eg data usage control, the usage of blockchain technologies, or semantic data integration and interoperability. Next, Part III describes various “Use Cases and Data Ecosystems” from various application areas such as agriculture, healthcare, industry, energy, and mobility. Part IV eventually offers an overview of several “Solutions and Applications”, eg including products and experiences from companies like Google, SAP, Huawei, T-Systems, Innopay and many more.

Overall, the book provides professionals in industry with an encompassing overview of the technological and economic aspects of data spaces, based on the International Data Spaces and Gaia-X initiatives. It presents implementations and business cases and gives an outlook to future developments. In doing so, it aims at proliferating the vision of a social data market economy based on data spaces which embrace trust and data sovereignty.

• Open Access
• Data Spaces
• GAIA-X
• Data Lakes
• Big Data
• Information Retrieval
• Information Systems Applications
• Data Ecosystems
• Data Integration
• Data Security

• Fraunhofer-Institut für Software- und Systemtechnik ISST, Dortmund, Germany

  Boris Otto

• Fraunhofer-Institut für Materialfluss und Logistik IML, Dortmund, Germany

  Michael ten Hompel

• Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS, Sankt Augustin, Germany

  Stefan Wrobel

Boris Otto is the Executive Director of the Fraunhofer Institute for Software and Systems Engineering ISST in Dortmund as well as Chair for Industrial Information Management at TU Dortmund. His career path includes the University of St. Gallen, PricewaterhouseCoopers, SAP, and the Fraunhofer Institute for Industrial Engineering IAO. He is a member of the boards of directors of the Gaia-X, European Association for Data and Cloud, AISBL and the International Data Spaces Association (IDSA). His research focuses on the fields of industrial information management, business and logistics networks, and methods for the design of digital business solutions.

Michael ten Hompel holds the Chair of Materials Handling and Warehousing at TU Dortmund and is Managing Director at Fraunhofer-Institute of Material Flow and Logistics IML. Besides his work as scientist, he also worked as entrepreneur and eg founded GamBit GmbH in Dortmund in 1988 and is still on the supervisory board of several logistics companies. He was also awarded the Innovationspreis NRW (Innovation Award North Rhine-Westphalia) in 2020.

Stefan Wrobel is Professor of Computer Science at U Bonn and Director of the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS. His work is focused on questions of the digital revolution, in particular intelligent algorithms and systems for the large-scale analysis of data and the influence of Big Data/Smart Data on the use of information in companies and society. He was honored by the Gesellschaft für Informatik (German Informatics Society) as one of the formative minds in German AI history.