This workshop is intended to provide an accessible and practical introduction to the theory and concepts behind data anonymization. Topics covered will include an overview of identifiers and quasi-identifiers, an introduction to k-anonymity, a look at some cases where k-anonymity breaks down, and anonymization hierarchies. The presenter will explain how to assess a simple dataset for anonymization using standard statistical software. Much of the academic material looking at data anonymization is quite abstract and aimed at computer scientists, while material aimed at data curators does not always consider recent developments. This webinar is intended to help bridge the gap.
This presentation will occur on June 13 from 10:30 A.M. to 12:00 P.M. Eastern Daylight Time.
- Teacher: Kristi Thompson