Designing Data Spaces: The Ecosystem Approach to Competitive Advantage

Designing Data Spaces: The Ecosystem Approach to Competitive Advantage

Data Spaces; GAIA-X; Data Lakes; Big Data; Information Retrieval; Information Systems Applications; Data Ecosystems; Data Integration; Data Security

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.
URI

Otto, Boris (editor)
ten Hompel, Michael (editor)
Wrobel, Stefan (editor)

https://library.oapen.org/handle/20.500.12657/57901

Springer Nature

2022

upload by novit

http://creativecommons.org/licenses/by/4.0/

Pdf

English

Textbooks

10.1007/978-3-030-93975-5

Information technology: general issues
Databases
Expert systems / knowledge-based systems
Information retrieval