This class builds upon the introductory session on privacy protection for shared data, as a next step toward applying techniques for de-identifying several types of personal and health identifiers. Join JHU Data Services as we work through case examples and anonymization methods at an "intermediate" level suitable for preparing data for external collaborations and restricted access research databases. We also discuss the more common advanced statistical techniques for anonymization and risk assessment and their use cases, as well as current software options. Note: if you attended our de-identification webinar in prior years, reviewing our online module and guide or webinar recording can prepare you for this session.
Related LibGuide: Protecting Human Subject Identifiers by Dave Fearon
Register: https://jhu.libcal.com/event/9462050
View other De-identification workshops by Data Services
