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.

Registration link

Compute Ontario Summer School is a series of online courses on Advanced Research Computing, High Performance Computing, and Research Data Management. It runs from June 12 to June 29, 2023. The courses are delivered each workday from 9:00am to 4:30pm (EDT) with a lunch break,  in two parallel streams. You can register for any number of courses. Registration is free. Please register early as many courses have a limited capacity. The Summer School is jointly delivered by SHARCNET, SciNet, Centre for Advanced Computing, and RDM Network of Experts.