Guide to De-Identifying Data Researchers who plan to publish data on human subjects should take careful steps to protect the confidentiality of study participants through data de-identification—a process that reduces the risk of re-identifying individuals within a given dataset. This guide provides further details on the deidentification process, including various procedures for deidentifying a dataset, a list of common identifiers that need to be reviewed, and sample code that can be used to deidentify data intended for publication. It is intended to be used alongside the accompanying Guide to Publishing Research Data. View Resource