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

Authors :
Gaynor, Kaitlyn
Brookson, Cole
Güncan, Ali
Binley, Allison
Hillemann, Friederike
Hébert, Katherine
Weierbach, Helen
Sabet, Saeed Shafiei
Hudgins, Emma J.
Edwards, Brandon PM
Foroughirad, Vivienne
Grainger, Matthew
Sánchez-Reyes, Luna L
Scott, Eric R
Crystal-Ornelas, Robert
Braga, Pedro Henrique Pereira
Gomes, Dylan G. E.
Publication Year :
2023
Publisher :
Open Science Framework, 2023.

Abstract

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. To help researchers in ecology and evolution adopt useful features from GitHub to improve their research workflows, we review 12 practical ways to use the platform. 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. 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.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........860e4a05c61e79a9ef1b16c512da337a
Full Text :
https://doi.org/10.17605/osf.io/bypfm