Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way

  title={Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way},
  author={Rui Zhao and Malcolm P. Atkinson and P. Papapanagiotou and Federica Magnoni and Jacques D. Fleuriot},
  journal={Proceedings of the ACM on Human-Computer Interaction},
  pages={1 - 43}
Collaboration across institutional boundaries is widespread and increasing today. It depends on federations sharing data that often have governance rules or external regulations restricting their use. However, the handling of data governance rules (aka. data-use policies) remains manual, time-consuming and error-prone, limiting the rate at which collaborations can form and respond to challenges and opportunities, inhibiting citizen science and reducing data providers' trust in compliance. Using… 


Towards a Computer-Interpretable Actionable Formal Model to Encode Data Governance Rules
  • Rui Zhao, M. Atkinson
  • Computer Science
    2019 15th International Conference on eScience (eScience)
  • 2019
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