Dalla Lana School of Public Health

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Data harmonization is essential for producing high-quality, multi-region, multi-cohort research, but it’s often misunderstood or underestimated. In this webinar, experts from Maelstrom Research will share best practices for managing and harmonizing large-scale cohort data, using the Canadian Partnership for Tomorrow’s Health (CanPath), a centre at the DLSPH, as a case study.

Data harmonization refers to the process of making data from different sources comparable by aligning variables, coding systems, and metadata to a common standard, ensuring consistency, interoperability, and accuracy in research.

This session will provide actionable guidance on improving your data’s structure, coding, and documentation. Learn how to better align your metadata, prepare your data for harmonization, and understand what’s required to ensure high standards across studies.

This webinar is ideal for:
• Researchers using or planning to use harmonized cohort data
• Cohort studies aiming to improve their data quality and interoperability
• Anyone interested in learning how to apply harmonization techniques to enhance the value and impact of their data

This webinar will be presented in English with a bilingual Q&A. Come prepared with your questions in English or French.