Show, don’t tell - practical tools to navigate barriers for FAIR research

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Talk description:

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.

Panelists: Gabriel A. Devenyi, PhD, DNP project lead; Katie Lavigne, PhD, Researcher Douglas Institute; Genevieve Morin, MSc, Open Science expert;

Short bio:

Sebastian Urchs is a 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 is a computational neuroscientist with industry and academic research experience in neuroimaging and machine-learning. Currently focussed on development of neuroinformatic tools for data curation, processing, and analysis to improve reliability of prognostic biomarkers in neurodegenerative diseases.