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

arXiv: https://arxiv.org/abs/1911.08439 · HTML: https://mlsanity.com/paper/1911.08439/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Nov 2019.

## Built on by (most cited first, 2 of 2)

- [Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way](https://mlsanity.com/paper/2110.01056/) (2021)
- [An Automated Framework for Supporting Data-Governance Rule Compliance in Decentralized MIMO Contexts](https://mlsanity.com/paper/2109.00838/) (2021)

## Abstract (arXiv)

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.