Abstract
Data and code are essential for ensuring the credibility of scientific results and facilitating reproducibility, areas in which journal sharing policies play a crucial role. However, in ecology and evolution, we still do not know how widespread data- and code-sharing policies are, how accessible they are, and whether journals support data and code peer review. Here, we first assessed the clarity, strictness and timing of data- and code-sharing policies across 275 journals in ecology and evolution. Second, we assessed initial compliance to journal policies using submissions from two journals: Proceedings of the Royal Society B (Mar 2023-Feb 2024: n = 2340) and Ecology Letters (Jun 2021-Nov 2023: n = 571). Our results indicate the need for improvement: across 275 journals, 22.5% encouraged and 38.2% mandated data-sharing, while 26.6% encouraged and 26.9% mandated code-sharing. Journals that mandated data- or code-sharing typically required it for peer review (59.0% and 77.0%, respectively), which decreased when journals only encouraged sharing (40.3% and 24.7%, respectively). Our evaluation of policy compliance confirmed the important role of journals in increasing data- and code-sharing but also indicated the need for meaningful changes to enhance reproducibility. We provide seven recommendations to help improve data- and code-sharing, and policy compliance.
| Original language | English |
|---|---|
| Article number | 20251394 |
| Pages (from-to) | 1-12 |
| Number of pages | 12 |
| Journal | Proceedings of the Royal Society B: Biological Sciences |
| Volume | 292 |
| Issue number | 2055 |
| Early online date | 17 Sept 2025 |
| DOIs | |
| Publication status | Published - Sept 2025 |
| Externally published | Yes |
Bibliographical note
Copyright the Author(s) 2025. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- journal policy
- open science
- peer review
- replicability
- reproducibility
- transparency
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