About this resource

    Type of resources
    Primary Source, Reading, Paper
    Education level(s)
    College / Upper Division (Undergraduates)
    Primary user(s)
    Student
    Subject area(s)
    Life Science
    Language(s)
    English
    Cluster
    Replication Crisis and Credibility Revolution
    Last updated
    9 November 2026
    Primary SourceReadingPaper

    Best practices in data analysis and sharing in neuroimaging using MRI

    By Thomas E Nichols, Samir Das, Simon B Eickhoff, Alan C Evans, Tristan Glatard, Michael Hanke, Nikolaus Kriegeskorte, Michael P Milham, Russell A Poldrack, Jean-Baptiste Poline, Erika Proal, Bertrand Thirion, David C Van Essen, Tonya White, B T Thomas Yeo

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    Level College / Upper Division (Undergraduates) · For Student · Language English

    Abstract

    Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world’s neuroimaging data.

    Keywords Reproducibility Crisis and Credibility Revolution