This is a Preprint and has not been peer reviewed. This is version 6 of this Preprint.
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Abstract
Publishing preprints is quickly becoming commonplace in ecology and evolutionary biology. Preprints can facilitate the rapid sharing of scientific knowledge establishing precedence and enabling feedback from the research community before peer review. Yet, significant barriers to preprint use exist including language barriers, a lack of understanding about the benefits of preprints and a lack of diversity in the types of research outputs accepted (e.g., reports). Community driven preprint initiatives can allow a research community to come together to break down these barriers to improve equity and coverage of global knowledge. Here, we explore the first preprints uploaded to EcoEvoRxiv (n = 1216), a community-driven preprint server for ecologists and evolutionary biologists, to characterise preprint practices in ecology, evolution and conservation. Our perspective piece highlights some of the unique initiatives that EcoEvoRxiv has taken to break down barriers to scientific publishing by exploring the composition of articles, how gender and career stage influence preprint use, whether preprints are associated with greater open science practices (e.g., code and data sharing), and tracking preprint publication outcomes. Our analysis identifies areas that we still need to improve upon but highlight how community-driven initiatives, such as EcoEvoRxiv, can play a crucial role in shaping publishing practices in biology.
DOI
https://doi.org/10.32942/X2SS46
Subjects
Ecology and Evolutionary Biology, Life Sciences
Keywords
EcoEvoRxiv, Preprints
Dates
Published: 2024-06-13 15:25
Last Updated: 2024-10-30 20:39
Older Versions
- Version 5 - 2024-10-22
- Version 4 - 2024-06-20
- Version 3 - 2024-06-14
- Version 2 - 2024-06-13
- Version 1 - 2024-06-13
License
CC BY Attribution 4.0 International
Additional Metadata
Language:
English
Conflict of interest statement:
The authors would like to acknowledge competing interests on the perspectives presented in this paper given that many (DWAN, SN, ML) are founding members of EcoEvoRxiv and/or are part of the EcoEvoRxiv committee.
Data and Code Availability Statement:
https://github.com/daniel1noble/ecoevo_1000
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