Not just for programmers: How GitHub can accelerate collaborative and reproducible research in ecology and evolution

bepress|Physical Sciences and Mathematics 0106 biological sciences Environmental management Environmental Science and Management Evolution reproducible research 01 natural sciences ecoinformatics version control GitHub open science QH359-425 QH540-549.5 Evolutionary Biology Ecology VDP::Økologi: 488 VDP::Ecology: 488 Biological Sciences bepress|Physical Sciences and Mathematics|Other Physical Sciences and Mathematics MetaArXiv|Physical Sciences and Mathematics collaboration Environmental Management project management data management MetaArXiv|Physical Sciences and Mathematics|Other Physical Sciences and Mathematics Zoology Environmental Sciences
DOI: 10.31222/osf.io/x3p2q Publication Date: 2022-07-13T21:07:41Z
ABSTRACT
1.Researchers in ecology and evolutionary biology are increasingly dependent on computational code to conduct research. Hence, the use of efficient methods to share, reproduce, and collaborate on code as well as document research is fundamental. GitHub is an online, cloud-based service that can help researchers track, organize, discuss, share, and collaborate on software and other materials related to research production, including data, code for analyses, and protocols. Despite these benefits, the use of GitHub in ecology and evolution is not widespread. 2.To help researchers in ecology and evolution adopt useful features from GitHub to improve their research workflows, we review twelve practical ways to use the platform. 3.We outline features ranging from low to high technical difficulty, including storing code, managing projects, coding collaboratively, conducting peer review, writing a manuscript, and using automated and continuous integration to streamline analyses. Given that members of a research team may have different technical skills and responsibilities, we describe how the optimal use of GitHub features may vary among members of a research collaboration. 4.As more ecologists and evolutionary biologists establish their workflows using GitHub, the field can continue to push the boundaries of collaborative, transparent, and open research.
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