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