Journals must expand access to peer review data

Olivia M Smith; Kayla L Davis; Robin Waterman; Riley B Pizza; Caitlin Mack; Emily E Conway; Kara C Dobson; Brianna Foster; Ani E Hristova; Julie C Jarvey; Nan Nourn; Courtney L Davis

doi:10.1016/j.tree.2024.02.003

Journals must expand access to peer review data

Trends Ecol Evol. 2024 Apr;39(4):311-314. doi: 10.1016/j.tree.2024.02.003. Epub 2024 Mar 12.

Authors

Affiliations

¹ Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA; Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48823, USA; Department of Integrative Biology, Michigan State University, East Lansing, MI 48824, USA. Electronic address: smitho17@msu.edu.
² Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA; Department of Integrative Biology, Michigan State University, East Lansing, MI 48824, USA.
³ Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA; Department of Plant Biology, Michigan State University, East Lansing, MI 48824, USA.
⁴ Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA; Department of Entomology, Michigan State University, East Lansing, MI 48824, USA.
⁵ Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, MI 48824, USA; Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI 48823, USA; Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA.
⁶ Cornell Laboratory of Ornithology, Cornell University, Ithaca, NY 14850, USA.

PMID: 38472078
DOI: 10.1016/j.tree.2024.02.003

Abstract

Empirical studies on peer review bias are primarily conducted by people from privileged groups and with affiliations with the journals studied. Data access is one major barrier to conducting peer review research. Accordingly, we propose pathways to broaden access to peer review data to people from more diverse backgrounds.

Keywords: EDI; bias; peer review.

MeSH terms

Humans
Peer Review
Peer Review, Research
Periodicals as Topic*