Towards a computer-interpretable actionable formal model to encode data governance rules

Rui Zhao, Malcolm Atkinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

With the needs of science and business, data sharing and re-use has become an intensive activity for various areas. In many cases, governance imposes rules concerning data use, but there is no existing computational technique to help data-users comply with such rules. We argue that intelligent systems can be used to improve the situation, by recording provenance records during processing, encoding the rules and performing reasoning.We present our initial work, designing formal models for data rules and flow rules and the reasoning system, as the first step towards helping data providers and data users sustain productive relationships.
Original languageEnglish
Title of host publicationProceedings of the IEEE eScience 2019 proceedings
Place of PublicationSan Diego, CA, USA
PublisherInstitute of Electrical and Electronics Engineers
Pages594-603
Number of pages10
ISBN (Electronic)978-1-7281-2451-3
ISBN (Print)978-1-7281-2452-0
DOIs
Publication statusPublished - 19 Mar 2020
EventBridging from Concepts to Data and Computation for eScience (BC2DC’19) Workshop: A workshop co-located with the eScience 2019 International Conference - San Diego, California, United States
Duration: 24 Sept 201924 Sept 2019
https://bc2dc.github.io/

Workshop

WorkshopBridging from Concepts to Data and Computation for eScience (BC2DC’19) Workshop
Abbreviated titleBC2DC 2019
Country/TerritoryUnited States
CitySan Diego, California
Period24/09/1924/09/19
Internet address

Keywords / Materials (for Non-textual outputs)

  • data governance
  • data-usage rules
  • policy modelling
  • rule formalisation
  • compliance reasoning
  • Provenance

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