Efficient detection of conflicts in data sharing agreements

This paper considers Data Sharing Agreements and their management as a key aspect for a secure, private and controlled access and usage of data. Starting from describing formats and languages for the agreements, we then focus on the design, development, and performance evaluation of an analysis tool, to spot potential conflicts within the data privacy policies constituting the agreement. The promising results achieved in terms of the execution time, by varying the number of rules in the agreements, and number of terms in the rules vocabulary, pave the way for the employment of the analyser in a real-use context.