What question did this study set out to answer?

The review aims to evaluate the SORTEE guidelines focused on improving data and code quality in ecological and evolutionary studies.

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February 26, 2026Open Access

Review of: The SORTEE Guidelines for Data and Code Quality Control in Ecology and Evolutionary Biology. Round#1/Reviewer#1

Key Points

The review aims to evaluate the SORTEE guidelines focused on improving data and code quality in ecological and evolutionary studies.
Reviewed the SORTEE guidelines for data and code quality control.
Analyzed their implications for research reliability.
Examined how these guidelines can be applied within the field.
Highlights the importance of quality control in ecological research.
Suggests that adherence to the SORTEE guidelines can enhance data reliability.
Indicates that implementing these practices can improve reproducibility in evolutionary biology.

Abstract

A recommendation of: Joel L. Pick, Bethany Allen, Benedicte Bachelot, Kevin Bairos-Novak, Jack Brand, Barbara Class, Tad Dallas, Pietro D'Amelio, Erola Fenollosa, Esteban Fernández-Juricic, Dylan Gomes, Matthew Grainger, Thomas Guillemaud, Christian John, Ruby Krasnow, Malgorzata Lagisz, Sebastian Lequime, Daniel Maynard, Shinichi Nakagawa, Rose O'Dea, Matthieu Paquet, Quentin Petitjean, Alfredo Sánchez-Tójar, Natalie van Dis, Laura Wilson, Edward R. Ivimey-Cook The SORTEE Guidelines for Data and Code Quality Control in Ecology and Evolutionary Biology https://doi.org/10.32942/X24P8S

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Review of: The SORTEE Guidelines for Data and Code Quality Control in Ecology and Evolutionary Biology. Round#1/Reviewer#1

Key Points

Abstract

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