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Making data reusable for discovery and shared analytics is a laborious, specific skill requiring tasks that most data providers do not have the resources, expertise, or perspective to perform. Equally challenged are the data re-users, who function in a landscape of bespoke schemas, formats, and coding. This presentation will review different communities' endeavors toward these addressing these challenges across the translational spectrum and biological scales to maximize societal problem solving.

Melissa Haendel is the Chief Research Informatics Officer at University of Colorado Anschutz Medical Campus and co-founder of the Monarch Initiative and the National Covid Cohort Collaborative. Her background is molecular genetics and developmental biology as well as translational informatics, with a focus over the past decade on open science and semantic engineering. Dr. Haendel’s vision is to weave together healthcare systems, basic science research, and patient generated data through development of data integration technologies and innovative data capture strategies. Dr. Haendel’s research has focused on integration of genotype-phenotype data to improve rare disease diagnosis and mechanism discovery. She also leads and participates in international standards organizations to support improved data sharing and utility worldwide.