De-identifying Human Subjects Data for Sharing



About This Sessionde-id rotated

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.

*NEW* ICTR Data Mangers Interest Group: Panel on De-identified and Limited Datasets (12/1/2017)

*NEW* ICTR Data Managers Interest Group: Panel on De-identification Part 2: De-identification of Media (Images, Audio/Video, and Text) (2/23/2018)

Interested in our training topics, but cannot make it?
Contact JHU Data Management Services to request a session for your Lab or Department.
Please specify in your email which training topic(s) you would like us to do for your group(s).

Handouts and Related Links


De-Identifying Human Subjects DataGuidance for protecting and removing personal identifiers of research subjects for data sharing.
(Download JHU version) (Download non-JHU visitors version)
De-identification ApplicationsA list of de-identification software tools and applications that researchers can use in de-identifying their research data for more public sharing. Link

Creative Commons License  All handouts are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License unless other licensing terms are specified.