About this resource

    Type of resources
    Reading
    Education level(s)
    College / Upper Division (Undergraduates), Graduate / Professional, Career / Technical, Adult Education
    Primary user(s)
    Student, Teacher, Librarian
    Subject area(s)
    Applied Science, Social Science
    Language(s)
    English
    Cluster
    Qualitative Research, Conceptual and Statistical Knowledge, Transparency and Reproducibility in Computation and Analysis
    Last updated
    9 November 2026

    Rethinking transparency and rigor from a qualitative open science perspective

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    Level College / Upper Division (Undergraduates), Graduate / Professional, Career / Technical, Adult Education · For Student, Teacher, Librarian · Language English

    Abstract

    Discussions around transparency in open science focus primarily on sharing data, materials, and coding schemes, especially as these practices relate to reproducibility. This fairly quantitative perspective of transparency does not align with all scientific methodologies. Indeed, qualitative researchers also care deeply about how knowledge is produced, what factors influence the research process, and how to share this information. Explicating a researcher’s background and role allows researchers to consider their impact on the research process and interpretation of the data, thereby increasing both transparency and rigor. Researchers may engage in positionality and reflexivity in a variety of ways, and transparently sharing these steps allows readers to draw their own informed conclusions about the results and study as a whole. Imposing a limited, quantitatively-informed set of standards on all research can cause harm to researchers and the communities they work with if researchers are not careful in considering the impact of such standards. Our paper will argue the importance of avoiding strong defaults around transparency (e.g., always share data) and build upon previous work around qualitative open science. We explore how transparency in all aspects of our research can lend itself toward projecting and confirming the rigor of our work.

    Keywords Transparency · Rigor · Qualitative · Quantitative