Privacy-preserving personal data analysis

Ever-increasing amount of data is generated by our citizens and used in our daily life every single day. These massive amounts of data can be used to improve digital technologies and develop data-driven innovations that can impact every aspect of people’s lives. However, lack of sharing of, access to and reuse of these data hinders the analysis possibilities and hence potential insights from the data. A number of challenges have been recognized such as technical barriers, security, data protection compliance to one or more legal jurisdictions, privacy concerns, and trust issues. This thesis aims to develop new privacy-preserving data sharing and analysis techniques that strengthen and extend the (re-)use of personal data while maximally protecting individuals’ privacy. To achieve this aim, this thesis addressed the research challenges on personal data sharing and use from perspectives of data organisations, scientific researchers, and individuals (citizens).