Data sovereignty

Data is nowadays at the basis of innovation and an essential resource for the creation of new services and products. Analysing data allows to extract value from them, including new knowledge. Data sharing opens further opportunities to extract value from data. For instance, executing analytics on data collected from multiple producers, collaborative analytics, could lead to earlier or more accurate results.
However, data are valuable assets for their producers and could contain relevant or critical information. Hence, data producers are willing to share their data with other entities only if they maintain a degree of control on them. Moreover, restrictions coming from laws and regulations must also be taken into account when sharing data among entities, especially if they reside in distinct countries.

In this respect, we investigate solutions to regulate data sharing among parties, thus allowing data producers to make their data available to other entities for collaborative analytics, still maintaining some control of the operations that can be executed on them. We study data protection solutions in a number of distinct relevant scenarios where the requirements are different, such as the Internet of Things (IoT), smart industries (I4.0), smart cities/buildings/homes, Security Operation Centers (SOCs), Data Observatories, and many others.
We also investigate the data protection problem in dynamic and complex scenarios, like the data stream or the big data ones, where performance issues and prompt detection and reaction to violations are crucial factors that must be taken into account.