Improving the anonymization of datasets for research

What is it about?

Making sensitive data available for research often means reducing much of the detail so that the privacy of the data subjects is preserved. However, anonymization methods tend to focus on hypothetical worst cases and ignore how researchers actually use data. We show that understanding the realistic context can result in both better security and more usable data.

Featured Image

Why is it important?

This paper shows how the attitude one takes to protecting data is crucial in the level of detail that can be retained for useful research.