Nipoppy: A framework for standardizing neuroimaging studies to facilitate international derived-data sharing
Year: 2026
Type: preprint
Abstract: Neuroimaging data management and processing are tedious and error-prone, prompting reproducibility concerns. Globally, studies with heterogeneous infrastructure and governance policies lead to eclectic data processing and sharing, necessitating standardization of data workflows to ensure reusability and comparability of multi-centric datasets. The Nipoppy neuroinformatics framework facilitates such standardization by combining specification, protocol, and software to manage study-level data workflows. With its adoption, researchers can share standardized, derived datasets enabling efficient, reproducible, and inclusive research.
Authors: Nikhil Bhagwat, Michelle Wang, Mathieu Dugré, Julia-Katharina Pfarr, Alyssa Dai, Sebastian Urchs, Brent McPherson, Rémi Gau, Eva M. van Heese, Emile d’Angremont, Max A. Laansma, Shweta Prasad, Jacob Sanz-Robinson, Mohammad Torabi, Arman Jahanpour, Matthew Danyluik, Alice Joubert, Austin Macdonald, Lea Waller, Ashley Stewart, Matthieu Joulot, Erin Dickie, Gabriel A. Devenyi, Sylvain Bouix, Steffen Bollmann, Neda Jahanshad, Paul M. Thompson, Ninon Burgos, M. Mallar Chakravarty, Yaroslav O. Halchenko, Ysbrand D. van der Werf, Jean-Baptiste Poline
Institutions: Montreal Neurological Institute and Hospital, McGill University, Concordia University, Centre Inria de Saclay, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, National Institute of Mental Health and Neurosciences, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Inserm, Sorbonne Université, Institut des Sciences Moléculaires, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Institut du Cerveau, Dartmouth College, Center for Open Neuroscience, Humboldt-Universität zu Berlin, Deutsches Zentrum für Psychische Gesundheit, Charité – Universitätsmedizin Berlin, The University of Queensland, Centre for Addiction and Mental Health, University of Toronto, University of Southern California
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G7883521624
OpenAlex ID: W7162017840