Designing Data Spaces

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...

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Format: Online
Sprog:engelsk
Udgivet: Springer Nature 2022
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Online adgang:ONIX_20220817_9783030939755_6
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collection Directory of Open Access Books
description 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.
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publishDate 2022
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publisher Springer Nature
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spelling doab-20.500.12854ir-913142025-08-13T13:42:03Z Designing Data Spaces Otto, Boris ten Hompel, Michael Wrobel, Stefan Data Spaces GAIA-X Data Lakes Big Data Information Retrieval Information Systems Applications Data Ecosystems Data Integration Data Security thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval 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. 2022-08-18T04:03:44Z 2022-08-18T04:03:44Z 2022-08-17T20:13:53Z 2022 book ONIX_20220817_9783030939755_6 OCN: 1338201220 https://library.oapen.org/handle/20.500.12657/57901 9783030939755 https://directory.doabooks.org/handle/20.500.12854/91314 eng open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/57901/1/978-3-030-93975-5.pdf https://library.oapen.org/bitstream/20.500.12657/57901/1/978-3-030-93975-5.pdf https://library.oapen.org/bitstream/20.500.12657/57901/1/978-3-030-93975-5.pdf Springer Nature Springer 10.1007/978-3-030-93975-5 10.1007/978-3-030-93975-5 9fa3421d-f917-4153-b9ab-fc337c396b5a 26889627-7ff8-4e66-99ab-90883edacf0d 9783030939755 Springer 580 Cham [...] open access
spellingShingle Data Spaces
GAIA-X
Data Lakes
Big Data
Information Retrieval
Information Systems Applications
Data Ecosystems
Data Integration
Data Security
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UN Databases
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UN Databases
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
Designing Data Spaces
title Designing Data Spaces
title_full Designing Data Spaces
title_fullStr Designing Data Spaces
title_full_unstemmed Designing Data Spaces
title_short Designing Data Spaces
title_sort designing data spaces
topic Data Spaces
GAIA-X
Data Lakes
Big Data
Information Retrieval
Information Systems Applications
Data Ecosystems
Data Integration
Data Security
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UN Databases
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UN Databases
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
topic_facet Data Spaces
GAIA-X
Data Lakes
Big Data
Information Retrieval
Information Systems Applications
Data Ecosystems
Data Integration
Data Security
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UN Databases
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics
thema EDItEUR::U Computing and Information Technology::UN Databases
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrieval
url ONIX_20220817_9783030939755_6