Adopting best practices for FAIR research outputs is both a social and technical challenge, particularly for clinical research on data that may not be shared without restriction in many cases. In this talk, we discuss these challenges and share practical solutions developed in the ORIGAMI Lab. In the first half, we showcase Neurobagel and Nipoppy tools that aim to lower the technical barrier and facilitate adoption of FAIR research practices in labs and clinics. In the second half, we continue this conversation with a panel of practitioners from different career paths and stages to better understand and solve these challenges together.

Sebastian Urchs, PhD
Research software developer in the Origami lab at the Montreal Neurological Institute where he leads the development team of Neurobagel, a federated data governance ecosystem.

Nikhil Bhagwat, PhD
Computational neuroscientist in Origami lab interested in neuroinformatics, disease modeling, and biomarker development.

Panelists:
Gabriel A. Devenyi, PhD, Douglas Neuroinformatics Platform project lead, D3SM & Research associate, CIC/CoBrA lab, Douglas institute/McGill university;
Katie Lavigne, PhD, Assistant Professor, McGill university & Researcher, Douglas institute;
Genevieve Morin, MSc, Open Science expert, D3SM & Planning, Programming and Research Agent, USER CIUSSS-ODIM;
Matthew Danyluik, PhD candidate, CoBrA Lab, McGill University.