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Dataset Information

Gender and other potential biases in peer review: cross-sectional analysis of 38 250 external peer review reports.


ABSTRACT:

Objectives

To examine whether the gender of applicants and peer reviewers and other factors influence peer review of grant proposals submitted to a national funding agency.

Setting

Swiss National Science Foundation (SNSF).

Design

Cross-sectional analysis of peer review reports submitted from 2009 to 2016 using linear mixed effects regression models adjusted for research topic, applicant's age, nationality, affiliation and calendar period.

Participants

External peer reviewers.

Primary outcome measure

Overall score on a scale from 1 (worst) to 6 (best).

Results

Analyses included 38 250 reports on 12 294 grant applications from medicine, architecture, biology, chemistry, economics, engineering, geology, history, linguistics, mathematics, physics, psy

SUBMITTER: Severin A 

PROVIDER: S-EPMC7440717 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature