About this resource

    Type of resources
    Lesson
    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

    Reproducibility Librarianship in Practice

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

    Abstract

    As research across domains of study has become increasingly reliant on digital tools (librarianship included), the challenges in reproducibility have grown. Alongside this reproducibility challenge are the demands for open scholarship, such as releasing code, data, and articles under an open license. Before, researchers out in the field used to capture their environments through observation, drawings, photographs, and videos; now, researchers and the librarians who work alongside them must capture digital environments and what they contain (e.g. code and data) to achieve reproducibility. Librarians are well-positioned to help patrons open their scholarship, and it’s time to build in reproducibility as a part of our services. Librarians are already engaged with research data management, open access publishing, grant compliance, pre-registration, and it’s time we as a profession add reproducibility to that repertoire. In this webinar, organised by LIBER’s Research Data Management Working Group, speaker Vicky Steeves discusses how she’s built services around reproducibility as a dual appointment between the Libraries and the Center for Data Science at New York University.

    Keywords Institutional Policies · Librarians · Librarianship · Reproducibility