Data privacy protection in scientific publications: process implementation at a pharmaceutical company.

ABSTRACT:

Background

Sharing anonymized/de-identified clinical trial data and publishing research outcomes in scientific journals, or presenting them at conferences, is key to data-driven scientific exchange. However, when data from scientific publications are linked to other publicly available personal information, the risk of reidentification of trial participants increases, raising privacy concerns. Therefore, we defined a set of criteria allowing us to determine and minimize the risk of data reidentification. We also implemented a review process at Takeda for clinical publications prior to submission for publication in journals or presentation at medical conferences.

Methods

Abstracts, manuscripts, posters, and oral presentations containing study participant information were revie

SUBMITTER: Maritsch F 

PROVIDER: S-EPMC9233846 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature