Neurobagel: building an international network for distributed data discovery
Sebastian G. W. Urchs, Alan Dai, Arman Jahanpour, Michelle Wang, Mathieu Dugré, Nikhil Bhagwat, Brent McPherson, Julia Pfarr, Emma van Heese, Marina A. Laansma, Emile d'Angremont, Bianca Strasser-Kirchweger, Camille Maumet, Jeffrey S. Grethe, Vincent Taschereau-Dumouchel, Lyuba Zehl, Gabriel A. Devenyi, Florian Hutzler, Sean N. Hatton, Michael Hanke, Erin W. Dickie, Francois Jeanson, Yaroslav O. Halchenko, Christopher J Markiewicz, Katie M. Lavigne, Neda Jahanshad, Paul Thompson, David Keator, Satrajit S Ghosh, Russell A. Poldrack, Stéphane Lehéricy, Jan G. Bjaalie, Franco Pestilli, Dan N. Kennedy, Ysbrand van der Werf, Tristan Glatard, M. Mallar Chakravarty, Jean-Baptiste Poline
Identifiers and access
Key findings
Introduces Neurobagel, a federated network for cohort discovery across locally governed, access-controlled datasets: graphical tools plus a decentralized query infrastructure let researchers harmonize and discover data under local privacy regulations, now deployed by consortia and platforms across four continents.
Abstract
Source: publisher
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.
Topics
- open-data-standards
- reproducibility-tooling
- knowledge-graphs
Associated projects
Lab authors
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