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Designing Data Spaces

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The role data plays in enterprises is changing as the digital transformation
in many sectors gains speed. New business opportunities through data-driven innovation emerge from data sharing in ecosystems. In ecosystems, the interest of the
individual must be brought into alignment with the interest of the ecosystem. Trust
between participants, data interoperability, and data sovereignty are key requirements which can be met by data spaces. Data spaces are a distributed data integration
concept which is taken up by consortia aiming at supporting ecosystem. GAIA-X
and IDS specify reference architectures for distributed data infrastructures and data
spaces, respectively. While the benefits of data spaces for a fair data economy are
recognized by business and policy makers, a deeper understanding is required about
the design and evolution of data spaces. This chapter introduces fundamental
concepts, identifies design tasks and options, and, thus, provides guidance for the
establishment of data spaces.

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Detail Information

Series Title

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Call Number

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Publisher

: Springer International Publishing., 2022

Collation

XV, 580

Language

English

ISBN/ISSN

9783030939755

Classification

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Content Type

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Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Data Spaces
Designing

Specific Detail Info

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Statement of Responsibility

Boris Otto, Michael ten Hompel, Stefan Wrobel

Other Information

Cataloger

angga

Source

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Validator

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Digital Object Identifier (DOI)

https://link.springer.com/book/10.1007/978-3-030-93975-5

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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