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Data Spaces

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igital transformation, data ecosystems, and Data Spaces are inevitable
parts of our future. The book aims to educate the reader on data sharing and
exchange techniques using Data Spaces. It will address and explore the cuttingedge theory, technologies, methodologies, and best practices for Data Spaces for
both industrial and personal data. The book provides the reader with a basis for
understanding the scientific foundation of Data Spaces, how they can be designed
and deployed, and future directions.

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Availability

Detail Information

Series Title

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Call Number

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Publisher

: Springer Cham., 2022

Collation

XX, 357

Language

English

ISBN/ISSN

9783030986360

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

Specific Detail Info

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Statement of Responsibility

Henriques Edward Curry, Simon Scerri, Tuomo Tuikka

Other Information

Cataloger

angga

Source

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Validator

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Digital Object Identifier (DOI)

https://link.springer.com/book/10.1007/978-3-030-98636-0

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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