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dc.contributor.authorIvimey-Cook, Edward R.
dc.contributor.authorPick, Joel L.
dc.contributor.authorBairos-Novak, Kevin R.
dc.contributor.authorCulina, Antica
dc.contributor.authorGould, Elliot
dc.contributor.authorGrainger, Matthew
dc.contributor.authorMarshall, Benjamin M.
dc.contributor.authorMoreau, David
dc.contributor.authorPaquet, Matthieu
dc.contributor.authorRoyauté, Raphaël
dc.contributor.authorSanchez-Tojar, Alfredo
dc.contributor.authorSilva, Inês
dc.contributor.authorWindecker, Saras M.
dc.date.accessioned2023-10-12T08:48:37Z
dc.date.available2023-10-12T08:48:37Z
dc.date.created2023-10-10T10:41:04Z
dc.date.issued2023
dc.identifier.citationJournal of Evolutionary Biology. 2023, 36 1347-1356.en_US
dc.identifier.issn1010-061X
dc.identifier.urihttps://hdl.handle.net/11250/3095997
dc.description.abstractCode review increases reliability and improves reproducibility of research. As such, code review is an inevitable step in software development and is common in fields 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 and reliability 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. coding errors, open science, reliability, reproducibility, research process, software development, transparencyen_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleImplementing code review in the scientific workflow: Insights from ecology and evolutionary biologyen_US
dc.title.alternativeImplementing code review in the scientific workflow: Insights from ecology and evolutionary biologyen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2023 The Authorsen_US
dc.subject.nsiVDP::Økologi: 488en_US
dc.subject.nsiVDP::Ecology: 488en_US
dc.source.pagenumber1347-1356en_US
dc.source.volume36en_US
dc.source.journalJournal of Evolutionary Biologyen_US
dc.source.issue10en_US
dc.identifier.doi10.1111/jeb.14230
dc.identifier.cristin2183238
dc.relation.projectAndre: Center of Advanced Systems Understandingen_US
dc.relation.projectAndre: Germany's Federal Ministry of Education and Research (BMBF)en_US
dc.relation.projectAndre: Saxon Ministry for Science, Culture and Tourism (SMWK)en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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