Related Experiment Video
Updated: Jan 17, 2026

Resurrection of Dormant Daphnia magna: Protocol and Applications
Published on: January 19, 2018
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.
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.
More Related Videos
Related Concept Videos
Evolutionary Relationships through Genome Comparisons
Genetics of Speciation
Types of Genetic Transfer Between Organisms
Types of Genetic Transfer Between Organisms
Conservation of Small Populations
Gene Flow

