Reducing Risk: An Introduction to Survey Data AnonymizationPortage Network Webinar Series (2020)
This webinar is intended to provide an accessible and practical introduction to the theory and concepts behind data anonymization, looking specifically at anonymization of survey microdata. 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 describe a method to assess a survey 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.
Publication DateJuly 7, 2020
Citation InformationKristi Thompson. "Reducing Risk: An Introduction to Survey Data Anonymization" Portage Network Webinar Series (2020)
Available at: http://works.bepress.com/kristi-thompson/11/
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.