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

Author:

Braga Pedro Henrique Pereira1ORCID,Hébert Katherine2ORCID,Hudgins Emma J.3ORCID,Scott Eric R.4ORCID,Edwards Brandon P. M.3ORCID,Sánchez Reyes Luna L.5ORCID,Grainger Matthew J.6ORCID,Foroughirad Vivienne7ORCID,Hillemann Friederike8ORCID,Binley Allison D.3ORCID,Brookson Cole B.9ORCID,Gaynor Kaitlyn M.10ORCID,Shafiei Sabet Saeed11ORCID,Güncan Ali12ORCID,Weierbach Helen13ORCID,Gomes Dylan G. E.14ORCID,Crystal‐Ornelas Robert13ORCID

Affiliation:

1. Department of Biology Concordia University Montréal Québec Canada

2. Département de Biologie Université de Sherbrooke Sherbrooke Québec Canada

3. Department of Biology Carleton University Ottawa Ontario Canada

4. Communications & Cyber Technologies University of Arizona Arizona Tucson USA

5. School of Natural Sciences University of California Merced California USA

6. Terrestrial Biodiversity Norwegian Institute for Nature Research – NINA Trondheim Norway

7. Department of Biology Georgetown University Washington District of Columbia USA

8. Department of Human Behavior, Ecology and Culture Max Planck Institute for Evolutionary Anthropology Leipzig Germany

9. Department of Biological Sciences University of Alberta Edmonton Alberta Canada

10. Departments of Zoology and Botany University of British Columbia Vancouver British Columbia Canada

11. Fisheries Department, Faculty of Natural Resources University of Guilan Sowmeh Sara Iran

12. Department of Plant Protection, Faculty of Agriculture Ordu University Ordu Turkey

13. Earth and Environmental Sciences Area, Lawrence Berkeley National Laboratory Berkeley California USA

14. Cooperative Institute for Marine Resources Studies, Hatfield Marine Science Center Oregon State University Newport Oregon USA

Abstract

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.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

U.S. Department of Energy

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Reference77 articles.

1. About code owners. (n.d.).GitHub Docs. Retrieved March 9 2023 fromhttps://ghdocs‐prod.azurewebsites.net/en/repositories/managing‐your‐repositorys‐settings‐and‐features/customizing‐your‐repository/about‐code‐owners

2. About large files on GitHub. (n.d.).GitHub Docs. Retrieved March 9 2023 fromhttps://ghdocs‐prod.azurewebsites.net/en/repositories/working‐with‐files/managing‐large‐files/about‐large‐files‐on‐github

3. About Projects. (n.d.).GitHub Docs. Retrieved March 9 2023 fromhttps://ghdocs‐prod.azurewebsites.net/en/issues/planning‐and‐tracking‐with‐projects/learning‐about‐projects/about‐projects

4. Adding a license to a repository. (n.d.).GitHub Docs. Retrieved March 9 2023 fromhttps://ghdocs‐prod.azurewebsites.net/en/communities/setting‐up‐your‐project‐for‐healthy‐contributions/adding‐a‐license‐to‐a‐repository

5. A Beginner's Guide to Conducting Reproducible Research

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3