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Resurrection of Dormant Daphnia magna: Protocol and Applications

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From policy to practice: progress towards data- and code-sharing in ecology and evolution.

Edward R Ivimey-Cook¹, Alfredo Sánchez-Tójar², Ilias Berberi³

¹School of Biodiversity, One Health, and Veterinary Medicine, University of Glasgow, Glasgow, UK.

Proceedings. Biological Sciences

|September 16, 2025

Summary

Scientific journals in ecology and evolution show a need for better data and code sharing policies. Improving these policies and compliance is crucial for enhancing research reproducibility.

Keywords:

journal policy open science peer review replicability reproducibility transparency

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Area of Science:

Ecology and Evolution
Scientific Publishing
Data Science

Background:

Data and code sharing are vital for scientific credibility and reproducibility.
Journal policies significantly influence data and code sharing practices.
The extent and accessibility of these policies in ecology and evolution remain unclear.

Purpose of the Study:

To assess the clarity, strictness, and timing of data and code sharing policies in 275 ecology and evolution journals.
To evaluate initial compliance with these policies using manuscript submissions from two leading journals.
To identify areas for improvement in journal policies and their enforcement to boost reproducibility.

Main Methods:

Policy analysis of 275 ecology and evolution journals.
Assessment of data and code sharing policy characteristics (clarity, strictness, timing).
Compliance evaluation of manuscript submissions (n=2340 for Proceedings of the Royal Society B, n=571 for Ecology Letters).

Main Results:

Only 22.5% of journals encouraged and 38.2% mandated data sharing; 26.6% encouraged and 26.9% mandated code sharing.
Mandatory sharing policies were more frequently linked to peer review requirements (59.0% for data, 77.0% for code).
Encouraged sharing had lower links to peer review (40.3% for data, 24.7% for code), indicating room for stronger policy integration.

Conclusions:

Journal policies play a key role in promoting data and code sharing.
Significant improvements are needed in policy clarity, strictness, and compliance to enhance research reproducibility.
Seven recommendations are proposed to enhance data and code sharing practices and policy adherence in scientific publishing.