National COVID Cohort Collaborative data enhancements: a path for expanding common data models
Year: 2024
Type: article
Abstract: OBJECTIVE: 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 transactions; patient-level social determinants of health; and in-hospital use of oxygen supplementation. MATERIALS AND 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 common data model specifications. Our approach offers a useful pathway for enhancing data to improve fit for purpose. CONCLUSION: In this initiative, we rapidly produced project-specific data modeling guidance and documentation in support of long COVID research while maintaining a commitment to terminology standards and harmonized data.
Authors: Kellie M Walters, Marshall Clark, Sofia Dard, Stephanie S Hong, Elizabeth Kelly, Kristin Kostka, Adam M Lee, Robert T Miller, Michele Morris, Matvey B Palchuk, Emily R Pfaff, N3C and RECOVER Consortia, Adam B Wilcox, Alexis Graves, Alfred (Jerrod) Anzalone, Amin Manna, Amit Saha, Amy Olex, Andrea Zhou, Andrew E Williams, Andrew Southerland, Andrew T Girvin, Anita Walden, Anjali A Sharathkumar, Benjamin Amor, Benjamin Bates, Brian Hendricks, Brijesh Patel, Caleb Alexander, Carolyn Bramante, Cavin Ward-Caviness, Charisse Madlock-Brown, Christine Suver, Christopher Chute, Christopher Dillon, Chunlei Wu, Clare Schmitt, Cliff Takemoto, Dan Housman, Davera Gabriel, David A Eichmann, Diego Mazzotti, Don Brown, Eilis Boudreau, Elaine Hill, Elizabeth Zampino, Emily Carlson Marti, Evan French, Farrukh M Koraishy, Federico Mariona, Fred Prior, George Sokos, Greg Martin, Harold Lehmann, Heidi Spratt, Hemalkumar Mehta, Hongfang Liu, Hythem Sidky, J W Awori Hayanga, Jami Pincavitch, Jaylyn Clark, Jeremy Richard Harper, Jessica Islam, Jin Ge, Joel Gagnier, Joel H Saltz, Joel Saltz, Johanna Loomba, John Buse, Jomol Mathew, Joni L Rutter, Julie A McMurry, Justin Guinney, Justin Starren, Karen Crowley, Katie Rebecca Bradwell, Ken Wilkins, Kenneth R Gersing, Kenrick Dwain Cato, Kimberly Murray, Lavance Northington, Lee Allan Pyles, Leonie Misquitta, Lesley Cottrell, Lili Portilla, Mariam Deacy, Mark M Bissell, Mary Emmett, Mary Morrison Saltz, Melissa A Haendel, Meredith Adams, Meredith Temple-O'Connor, Michael G Kurilla, Nabeel Qureshi, Nasia Safdar, Nicole Garbarini, Noha Sharafeldin, Ofer Sadan, Patricia A Francis, Penny Wung Burgoon, Peter Robinson, Philip R O Payne, Rafael Fuentes, Randeep Jawa, Rebecca Erwin-Cohen, Rena Patel, Richard A Moffitt, Richard L Zhu, Rishi Kamaleswaran, Robert Hurley, Saiju Pyarajan, Sam G Michael, Samuel Bozzette, Sandeep Mallipattu, Satyanarayana Vedula, Scott Chapman, Shawn T O'Neil, Soko Setoguchi, Steve Johnson, Tellen D Bennett, Tiffany Callahan, Umit Topaloglu, Usman Sheikh, Valery Gordon, Vignesh Subbian, Warren A Kibbe, Wenndy Hernandez, Will Beasley, Will Cooper, William Hillegass, Xiaohan Tanner Zhang
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,549
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, University of South Carolina, NorthShore University HealthSystem, Penn State Clinical and Translational Science Institute, Louisiana Clinical and Translational Science Center, 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, University of Colorado Denver, Center for Clinical and Translational Science, University of Massachusetts, Center for Clinical and Translational Science, Mayo Clinic, Center for Clinical and Translational Sciences, University of Texas Health Science Center at Houston, Irving Medical Center, Columbia University, Translational Research Institute, University of Arkansas for Medical Sciences, South Carolina Clinical and Translational Research Institute, Medical University of South Carolina, National Heart, Lung, and Blood Institute, National Institute on Drug Abuse, National Center for Advancing Translational Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Colorado Clinical and Translational Sciences Institute, Accelerated Innovation Research Initiative Turning Top Science and Ideas into High-Impact Values
OpenAlex ID: W4404647810