Over the years, CoE-DSC observed that Privacy Enhancing Technologies (PETs) have gained traction in data collaborations, although various misconceptions about their usability still exist. In light of this trend, together with an expert group, we wrote a whitepaper that aims to clarify the common ground on possibilities and limitations of PETs to help decision makers in data collaborations. To establish this common ground, the paper was created in joint effort with various experts from knowledge institutions, data collaborations, and technology service providers.
Decision makers in various data collaborations recognise the importance of data sharing for realising economic and societal value. However, data collaboration participants often struggle to reap this value due to data sharing barriers in terms of privacy, commercial and reputational risks. Since PETs allow participants to extract insights from the data without disclosing the underlying data itself, they can play a role in reducing barriers in data collaborations where data cannot be shared directly.
This whitepaper focuses on several groups of PETs and privacy assessment measures, covering their implementation and value potential in respective use cases. It also covers challenges that need to be overcome for PETs to be adopted on a large scale. Lastly, the whitepaper outlines tangible steps to foster the implementation of these technologies in organisations.