C-OPN Data Challenge Awardees Parkinson Canada and Brain Canada are pleased to announce the winners of the Canadian Open Parkinson Network (C-OPN) Data Challenge. This research grant opportunity, launched and funded in partnership between Parkinson Canada and Brain Canada, was designed to accelerate Parkinson’s research through innovative use of the C-OPN database. Researchers and clinicians from across Canada were invited to submit proposals that analyzed C-OPN’s de-identified participant data (featuring demographic information, epidemiological and clinical information, and neuroimaging data and genotyping data) to generate new insights into Parkinson’s diagnosis, progression, and care. We would like to congratulate the six applicants who were successful and acknowledge the hard work and dedication to Parkinson’s research from all applicants. Dr. Venkat Bhat, University of Toronto Mental health symptom profiles and clinical heterogeneity in Parkinson’s disease: cognitive, neuroimaging and demographic correlates Prof. Setor Kunutsor, University of Manitoba Symptom burden and trajectories in Parkinson’s Disease: The influence of sex, age, and comorbidity across Hoehn and Yahr stages Dr. Myles O’Brien, University of Sherbrooke Development of a frailty index for C-OPN and its association with disease severity among people with Parkinson’s disease Dr. Michael Schlossmacher, Ottawa Hospital Research Institute Improving the accuracy of the PREDIGT score in classifying typical Parkinson’s versus clinically relevant controls Dr. Madelaine Sharp, McGill University Retrospective data harmonization of Canadian open Parkinson’s disease datasets Prof. Pascal Tyrell, University of Toronto Integrating genetic and neuroimaging data for personalized Parkinson’s disease stratification