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dc.contributor.editorOtto, Boris
dc.contributor.editorten Hompel, Michael
dc.contributor.editorWrobel, Stefan
dc.date.accessioned2022-08-17T20:13:53Z
dc.date.available2022-08-17T20:13:53Z
dc.date.issued2022
dc.identifierONIX_20220817_9783030939755_6
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/57901
dc.description.abstractThis 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UB Information technology: general topicsen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databasesen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systemsen_US
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases::UNH Information retrievalen_US
dc.subject.otherData Spaces
dc.subject.otherGAIA-X
dc.subject.otherData Lakes
dc.subject.otherBig Data
dc.subject.otherInformation Retrieval
dc.subject.otherInformation Systems Applications
dc.subject.otherData Ecosystems
dc.subject.otherData Integration
dc.subject.otherData Security
dc.titleDesigning Data Spaces
dc.title.alternativeThe Ecosystem Approach to Competitive Advantage
dc.typebook
oapen.identifier.doi10.1007/978-3-030-93975-5
oapen.relation.isPublishedBy6c6992af-b843-4f46-859c-f6e9998e40d5
oapen.relation.isFundedBy26889627-7ff8-4e66-99ab-90883edacf0d
oapen.relation.isbn9783030939755
oapen.imprintSpringer
oapen.pages580
oapen.place.publicationCham
oapen.grant.number[...]


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