National COVID Cohort Collaborative Data Enhancements: A Path for Expanding Common Data Models
INTRODUCTION: To support long COVID research in National COVID Cohort Collaborative (N3C), the N3C Phenotype and Data Acquisition team created data designs to aid contributing sites in enhancing their data. Enhancements include: long COVID specialty clinic indicator; Admission, Discharge, and Transfer (ADT) transactions; patient-level social determinants of health; and in-hospital use of oxygen supplementation. METHODS: For each enhancement, we defined the scope and wrote guidance on how to prepare and populate the data in a standardized way. RESULTS: As of June 2024, 29 sites have added at least one data enhancement to their N3C pipeline. DISCUSSION: The use of common data models is critical to the success of N3C; however, these data models cannot account for all needs. Project-driven data enhancement is required. This should be done in a standardized way in alignment with CDM specifications. Our approach offers a useful pathway for enhancing data to improve fit for purpose.
Authors
- Marshall Clark (ORCID: https://orcid.org/0000-0001-5827-4862)
- Sofia Dard (ORCID: https://orcid.org/0000-0002-0286-2515)
- Michele Morris (ORCID: https://orcid.org/0000-0002-3255-5727)
- Stephanie Hong (ORCID: https://orcid.org/0000-0002-0795-1293)
- Adam M. Lee (ORCID: https://orcid.org/0000-0002-8311-581X)
- Kellie M Walters (ORCID: https://orcid.org/0000-0002-7473-1709)
- Robert Miller (ORCID: https://orcid.org/0000-0002-1787-2855)
- Kristin Kostka (ORCID: https://orcid.org/0000-0003-2595-8736)
- Matvey B. Palchuk (ORCID: https://orcid.org/0000-0002-7737-8752)
- Elizabeth Kelly (ORCID: https://orcid.org/0000-0002-3722-8928)
- Emily Pfaff (ORCID: https://orcid.org/0000-0002-6840-9756)
- N C and RECOVER Consortia
Institutions
- University of North Carolina at Chapel Hill (US)
Publication Details
- Journal
- UNC Libraries
- Published
- 2024-12-03
- DOI
- https://doi.org/10.17615/6e66-4z18
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bill and Melinda Gates Foundation
- University of Miami
- University of Pennsylvania
- Northwestern University
- George Washington University
- Johns Hopkins University
- Case Western Reserve University
- Dartmouth College
- Pennsylvania State University
- Rush University
- NorthShore University HealthSystem
- Penn State Clinical and Translational Science Institute
- West Virginia Clinical and Translational Science Institute
- Stony Brook University
- National Institutes of Health
- Oregon Clinical and Translational Research Institute
- Michigan Institute for Clinical and Health Research
- Center for Clinical and Translational Science, Mayo Clinic
- Irving Medical Center, Columbia University
- South Carolina Clinical and Translational Research Institute, Medical University of South Carolina
- National Center for Advancing Translational Sciences
- Colorado Clinical and Translational Sciences Institute
- Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values