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Implementing Code Review in the Scientific Workflow: Insights from Ecology and Evolutionary Biology

de Edward Ivimey-Cook, Joel Pick, Kevin Bairos-Novak, Antica Culina, Elliot Gould, Matthew Grainger, Benjamin Marshall, David Moreau, Matthieu Paquet, Raphaël Royauté, Alfredo Sanchez-Tojar, Inês Silva e Saras Windecker

Publicado: 16 de maio de 2023
Servidor: EcoEvoRxiv
DOI: 10.32942/x2cg64

Resumo

Code review increases reliability and improves reproducibility of research. As such, code review is an inevitable step in software development and is common in subjects such as computer science. However, despite its importance, code review is noticeably lacking in ecology and evolutionary biology. This is problematic as it facilitates the propagation of coding errors and a reduction in reproducibility of published results. To address this, we provide a detailed commentary on how to effectively review code, how to set up your project to enable this form of review and detail its possible implementation at several stages throughout the research process. This guide serves as a primer for code review, and adoption of the principles and advice here will go a long way in promoting more open, reliable, and transparent ecology and evolutionary biology.

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Avaliação PREreview feita por Gracielle Higino et al. do/a Computational Biodiversity Science and Services

De autoria de Gracielle Higino, Varina Crisfield, Mobina Gholamhosseini, Katherine Hébert e Tanya Strydom do/a Computational Biodiversity Science and Services

This review was made as part of a community of practice supported by ASAPbio and BIOS². One of the authors, GH, is a signatory of Publish Your Reviews, and has committed to publish her peer reviews alongside the preprint version of an article. For more information, see publishyourreviews.org.

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