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

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Tuesday, November 7, 2023, 12:30 p.m. - 2:00 p.m. ET
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Add to Calendar 15 jhu-bsph-272016 Protecting Human Subject Data Privacy Part II: De-identification Techniques

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.



For more information, visit the event page:
https://publichealth.jhu.edu/node/272016.

Johns Hopkins Bloomberg School of Public Health 2023-11-07 17:30 2023-11-07 19:00 UTC use-title Location Zoom

Prerequisite: Protecting Human Subject Data Privacy or review our 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 our de-identification webinar in prior years, reviewing our online module and guide can prepare you for this session. 

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