Over the past decade, I have been involved in hundreds of clinical informatics initiatives and studies as part of my roles within NC TraCS, UNC’s CTSA. My primary expertise and research interests are in electronic health record data, computable phenotyping, clinical data modeling, and clinical data analytics in support of translational research. In addition to my own research, I am also passionate about disseminating these concepts to the next generation of informaticians through teaching courses and mentoring students. My role as Co-Director of the Informatics and Data Science (IDSci) core at NC TraCS has given me insight into the best practices and complexities surrounding the extraction, use, sharing, and harmonization of electronic health care data within and across institutions. I have led several efforts to make inter-institutional data sharing, federation, linkage, and harmonization faster and easier. To that end, I serve as a technical and governance leader for both UNC’s local clinical data warehouse (the Carolina Data Warehouse for Health, or CDWH) and UNC’s clinical data research networks (CDRNs). Between March 2020 and the present, I have led the Phenotype and Data Acquisition workstream for the National COVID Cohort Collaborative (N3C). N3C is a consortium organized by NCATS that aims to collect, harmonize, centralize, and provision for analytics COVID patient data from over 70 institutions. I lead the collaborative development of the process and code for participating institutions to identify their COVID cohorts and submit their data, participate in the development and maintenance of the N3C harmonization pipeline, and play a lead role in evaluating site data for quality and completeness. Though the primary function of N3C is to support COVID research, my role in N3C has also given me new perspectives on how the informatics community can work together to produce groundbreaking science.