About this resource

    Type of resources
    Activity/Lab
    Education level(s)
    Graduate / Professional
    Primary user(s)
    student, teacher
    Subject area(s)
    Applied Science, Life Science, Physical Science, Social Science
    Language(s)
    English
    Cluster
    Transparency and Reproducibility in Computation and Analysis, FAIR Data and Materials
    Last updated
    29 October 2026

    Level up the reproducibility of your data and code! A 2-hour, hands-on workshop

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

    Abstract

    Purpose: To introduce methods and tools in organization, documentation, automation, and dissemination of research that nudge it further along the reproducibility spectrum. OutcomeParticipants feel more confident applying reproducibility methods and tools to their own research projects. ProcessParticipants practice new methods and tools with code and data during the workshop to explore what they do and how they might work in a research workflow. Participants can compare benefits of new practices and ask questions to help clarify which would provide them the most value to adopt.

    Keywords Librarians · Reproducibility · Research Data Management Tools · Researchers