About this resource

    Type of resources
    Full Course
    Education level(s)
    Graduate / Professional
    Primary user(s)
    student, teacher
    Subject area(s)
    Applied Science, Life Science, Physical Science, Social Science
    Language(s)
    English, Spanish
    Cluster
    Transparency and Reproducibility in Computation and Analysis, FAIR Data and Materials
    Last updated
    1 January 2020

    Data Carpentry

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    Level Graduate / Professional · For student, teacher · Language English, Spanish

    Abstract

    Data Carpentry trains researchers in the core data skills for efficient, shareable, and reproducible research practices. We run accessible, inclusive training workshops; teach openly available, high-quality, domain-tailored lessons; and foster an active, inclusive, diverse instructor community that promotes and models reproducible research as a community norm.

    Keywords Analyses · Data · Reproducibility · Research Data Management · Researchers