Evaluation Methodology for Distributed Data Usage Control Solutions

Data sharing offers a lot of benefits i n sectors like manufacturing, food, smart grids, healthcare, etc. not only for data providers, but also, for consumers. Despite this fact, in distributed systems if trust among participants and data sovereignty are not provided, data providers are reluctant to exchange their data, especially when referring to sensible information. To guarantee data sovereignty, data must be controlled and tracked not only at the time of the request, but also, when these are used afterwards in a distributed way to comply with legal regulations and the requirements of the providers.There is an increasing number of distributed data usage control solutions, and it is difficult to understand the benefits and flaws that each one can have regarding a specific application. This paper presents a methodology to evaluate the level of data sovereignty offered by existing solutions regarding distributed data usage control and data provenance. Firstly, the features that must be developed in every distributed data usage control solution to satisfy a minimum set of requirements are described. Second, from a use case of the RESPOND H2020 project, the applicability of the capacities that have been identified i s demonstrated. Third, a first approach is proposed to evaluate the completeness offered by every distributed data usage control solution in terms of data sovereignty.