Using Provenance to Evaluate Risk and Benefit of Data Sharing

Data sharing is becoming increasingly important, but how much risk and benefit is incurred from the sharing is not well understood yet. Certain existing models can be leveraged to partially determine the risk and benefit. However, such naïve ways of quantification are inaccurate because they fail to capture the context and the history of the datasets in data sharing. This paper suggests utilizing the data provenance to accurately and quantitatively model the risk and benefit of data sharing between two parties, and describes preliminary approaches as well as further issues to consider.