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 language | English |
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Title of host publication | Proceedings of the IEEE eScience 2019 proceedings |
Place of Publication | San Diego, CA, USA |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 594-603 |
Number of pages | 10 |
ISBN (Electronic) | 978-1-7281-2451-3 |
ISBN (Print) | 978-1-7281-2452-0 |
DOIs | |
Publication status | Published - 19 Mar 2020 |
Event | Bridging 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 2019 → 24 Sept 2019 https://bc2dc.github.io/ |
Workshop
Workshop | Bridging from Concepts to Data and Computation for eScience (BC2DC’19) Workshop |
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Abbreviated title | BC2DC 2019 |
Country/Territory | United States |
City | San Diego, California |
Period | 24/09/19 → 24/09/19 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- data governance
- data-usage rules
- policy modelling
- rule formalisation
- compliance reasoning
- Provenance