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    Good enough practices in scientific computing.

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    Date
    2017
    Author
    Wilson, Greg
    Bryan, Jennifer
    Cranston, Karen
    Kitzes, Justin
    Nederbragt, Lex
    Teal, Tracy
    
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    Abstract
    Computers are now essential in all branches of science, but most researchers are never taught the equivalent of basic lab skills for research computing. As a result, data can get lost, analyses can take much longer than necessary, and researchers are limited in how effectively they can work with software and data. Computing workflows need to follow the same practices as lab projects and notebooks, with organized data, documented steps, and the project structured for reproducibility, but researchers new to computing often don't know where to start. This paper presents a set of good computing practices that every researcher can adopt, regardless of their current level of computational skill. These practices, which encompass data management, programming, collaborating with colleagues, organizing projects, tracking work, and writing manuscripts, are drawn from a wide variety of published sources from our daily lives and from our work with volunteer organizations that have delivered worksho.....
    Resource URL
    https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510
    Journal
    PLOS Computational Biology
    Volume
    13
    Issue
    6
    Page Range
    e100551, 20pp,
    Document Language
    en
    Best Practice Type
    Best Practice
    DOI Original
    10.1371/journal.pcbi.1005510
    Citation
    Wilson, G. J. ; Bryan, K. ; Cranston, J. ; Kitzes, L. ; Nederbragt, and Teal, T.K. (2017) Good enough practices in scientific computing. PLOS Computational. Biology, 13(6), e1005510,20pp. DOI:10.1371/journal.pcbi.1005510.
    URI
    http://hdl.handle.net/11329/1172
    http://dx.doi.org/10.25607/OBP-692
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