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A Universal Data Model for Data Sharing Under the European Data Strategy
University of Oslo, Norway.
University of Oslo, Norway.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).
2024 (English)In: Lect. Notes Comput. Sci., Springer, 2024, p. 3-19Conference paper, Published paper (Refereed)
Abstract [en]

The current European data strategy foresees a novel ecosystem of data sharing and data trading among public and private sector organizations in the EU member states. The focus is on enabling and fostering data sharing among the stakeholders while maintaining compliance with existing EU and national data protection legislation, such as the European General Data Protection Regulation (GDPR). However, managing data sharing in such a compliant manner requires additional metadata to be exchanged amongst the actors in this ecosystem. Therefore, this paper proposes a novel data model for managing data sharing activities. This model takes current and planned regulations (e.g., the Data Governance Act) and the resulting data ecosystem architectures (e.g. data intermediaries) into account and is applicable to different actions that are necessary for compliant data exchange, like data subject rights requests or intellectual property enforcement. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Place, publisher, year, edition, pages
Springer, 2024. p. 3-19
Keywords [en]
Data Governance Act, data model, data sharing, European data strategy, GDPR, Electronic data interchange, Intellectual property, Laws and legislation, 'current, Data governances, General data protection regulations, Novel ecosystems, Public and private sector, Public sector organization, Universal data model, Ecosystems
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-101126DOI: 10.1007/978-3-031-61089-9_1Scopus ID: 2-s2.0-85197222996ISBN: 9783031610882 (print)OAI: oai:DiVA.org:kau-101126DiVA, id: diva2:1884010
Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Available from: 2024-07-12 Created: 2024-07-12 Last updated: 2024-07-12Bibliographically approved

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Jensen, Meiko

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • apa.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf