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Abstract #0239

NeuroLibre: Living MRI preprints with built-in support for code review

Agah Karakuzu1, Elizabeth DuPre2, Patrick Bermudez3, Mathieu Boudreau1, Rachel Harding4, Jean-Baptiste Poline3, Samir Das3, Pierre Bellec5, and Nikola Stikov1
1NeuroPoly Lab, Polytechnique Montreal, Montreal, QC, Canada, 2Department of Psychology, Stanford University, San Francisco, CA, United States, 3The Neuro, McGill Centre for Integrative Neurosciences MCIN, Montreal, QC, Canada, 4Structural Genomics Consortium, University of Toronto, Toronto, ON, Canada, 5CRIUGM, University of Montreal, Montreal, QC, Canada

Synopsis

Keywords: Software Tools, Software Tools

Motivation: The ISMRM community is swiftly adopting data sharing and code review. While the advantages are clear, challenges persist in ensuring the quality and functionality of these shared resources.

Goal(s): To establish a platform for simplifying technical (or code) reviews and generating open-source living preprints with interactive data apps (e.g., dashboards).

Approach: We created NeuroLibre.org, offering dedicated cloud resources for hosting living preprints that combine narrative and executable content.

Results: NeuroLibre has published 8 living preprints, covering a variety of MRI applications. Each preprint is registered as citable and online-executable content with DOI links to archived reproducibility objects (code, runtime, data).

Impact: Our living preprints showcase how NeuroLibre helps reviewers interactively assess the quality and functionality of reproducibility objects effortlessly, bolstering the reproducibility of MRI publications. The ISMRM 2020 reproducibility challenge is our flagship example: https://doi.org/10.55458/neurolibre.00014

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