With researchers increasingly encouraged or required to share their data, preparing to share datasets with confidential identifiers of people and organizations is particularly challenging. Join JHU Data Management Services for an overview of techniques for assessing disclosure risk and hiding personal identifiers and Protected Health Information in quantitative and qualitative data, in compliance with IRB and HIPAA guidance. We also discuss preparing consent forms that facilitate data sharing, and keeping identifier data secure during and after projects.
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Handouts and Related Links
|De-Identifying Human Subjects Data||Guidance for protecting and removing personal identifiers of research subjects for data sharing.
(Download JHU version) (Download non-JHU visitors version)
|De-identification Applications||A list of de-identification software tools and applications that researchers can use in de-identifying their research data for more public sharing. Link|
All handouts are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License unless other licensing terms are specified.