Neurobagel: building an international network for distributed data discovery
Year: 2026
Type: preprint
Abstract: International data privacy regulations impede the pooling of research data for collaborative analysis. We introduce Neurobagel, a federated network enabling cohort discovery across locally governed, access-controlled datasets. Through intuitive graphical tools and a decentralized query infrastructure, Neurobagel facilitates harmonization, control, and discovery of data according to local regulations. Today, Neurobagel is deployed by consortia and data platforms in Europe, North America, Asia, and Australia, supporting diverse and evolving regulatory frameworks.
Authors: Sebastian Georg Wenzel Urchs, Alyssa Dai, Arman Jahanpour, Michelle Wang, Mathieu Dugré, Nikhil Bhagwat, Brent Caleb McPherson, Julia-Katharina Pfarr, Eva van Heese, Max A. Laansma, Emile d'Angremont, Barbara Strasser-Kirchweger, Camille MAUMET, Jeffrey Sean Grethe, Vincent Taschereau-Dumouchel, Lyuba Zehl, Gabriel Allan Devenyi, Florian Hutzler, Sean N Hatton, Michael Hanke, Jack Johnson, Alex Caron, Erin W Dickie, Francis Jeanson, Yaroslav O Halchenko, Christopher Johnson Markiewicz, Katie M. Lavigne, Neda Jahanshad, Paul Thompson, David Keator, Satrajit S Ghosh, Russell A. Poldrack, Stéphane Lehéricy, Jan G. Bjaalie, Baptiste Couvy-Duchesne, Julien Cohen-Adad, Franco Pestilli, David N. Kennedy, Ysbrand van der Werf, Tristan Glatard, M. Mallar Chakravarty, Jean-Baptiste Poline
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7160847900