Managing re-identification risks while providing access to the All of Us research program.

ABSTRACT:

Objective

The All of Us Research Program makes individual-level data available to researchers while protecting the participants' privacy. This article describes the protections embedded in the multistep access process, with a particular focus on how the data was transformed to meet generally accepted re-identification risk levels.

Methods

At the time of the study, the resource consisted of 329 084 participants. Systematic amendments were applied to the data to mitigate re-identification risk (eg, generalization of geographic regions, suppression of public events, and randomization of dates). We computed the re-identification risk for each participant using a state-of-the-art adversarial model specifically assuming that it is known that someone is a participant in the program

SUBMITTER: Xia W 

PROVIDER: S-EPMC10114067 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature