Protecting Human Subject Data Privacy: De-Identification Techniques

Description

Prerequisite: Protecting Human Subject Data Privacy: An Introduction or reviewing Johns Hopkins Data Services' online resources.

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. 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 Johns Hopkins Data Services' de-identification webinar in prior years, review the online module and guide to prepare for this session.