Protecting Human Subject Data Privacy Part II: De-identification Techniques

Description

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 Johns Hopkins Data Services in working 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 Data Services' de-identification webinar in prior years, reviewing the [online module and guide](https://dataservices.library.jhu.edu/resources/#deidentify_ or webinar recording can prepare you for this session. A recommended prerequisite for the class is Protecting Human Subject Data Privacy or reviewing Data Services' online resources.