CCOI

CENTER FOR CLINICAL OBSERVATIONAL INVESTIGATIONS

The National Library of Medicine (NLM) provides information about clinical datasets. Inclusion on an NLM Web page does not imply endorsement of, or agreement with, the contents by NLM or the National Institutes of Health. Learn more: NLM Web Policies (nih.gov).

N3C COVID

Organization: National Center for Advancing Translational Sciences (NCATS)

Description

The National Clinical Cohort Collaborative (N3C) COVID Enclave developed by National Center for Advancing Translational Sciences (NCATS) systematically and regularly collects data derived from the electronic health records of people who tested positive for COVID-19 or had related symptoms. In addition, data on non-COVID patients, controls, are collected for a case/control ratio of 1/2. The collected data are then harmonized into single OMOP Common Data Model format and made available for comparative studies. The data set includes such information as demographics, symptoms, lab test results, procedures, medications, medical conditions, physical measurements and more. These profiles used data from Release 184 and counts less than 20 were suppressed.

Key Information

Dataset Contents
Profile Date October 2024
Data Date Span 2017-July-05 to 2025-Jan-31 (service dates have been shifted for privacy protection)
Patient Count 22,854,489
Deceased Count 746,939
Recruitment Status Active
Dataset Type Electronic Health Records
Context Outpatient, Inpatient, Emergency room, Telehealth, Pharmacy
Region United States
Age Restrictions None
Access & Availability
Native Data Structure OMOP
Hosting Palantir Foundry environment through unite.nih.gov/workspace/slate/app/dashboard/home
Database File Size N/A
Availability Restrictions Verification by participating institutions or LOGIN.GOV
Data Identifiability
Limited Data Set HIPAA: Identifiable, Common Rule: De-identified
De-identified Data set HIPAA: De-Identifiable, Common Rule: De-identified

References and Resources:

Dataset Dictionary

Relevant Publications

  • Suver C, Harper J, Loomba J, Saltz M, Solway J, Anzalone AJ, Walters K Pfaff E, Walden A, McMurry J, Chute CG, Haende M. The N3C governance ecosystem: A model socio-technical partnership for the future of collaborative analytics at scale. J Clin Transl Sci. 2023; 7(1): e252. doi: 10.1017/cts.2023.681; PMID: 38229902; PMCID: PMC10789985
  • Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PRO, Pfaff ER, Robinson PN, Saltz JH, Spratt H, Suver C, Wilbanks J, Wilcox AB, Williams AE, Wu C, Blacketer C, Bradford RL, Cimino JJ, Clark M, Colmenares EW, Francis PA, Gabriel D, Graves A, Hemadri R, Hong SS, Hripscak G, Jiao D, Klann JG, Kostka K, Lee AM, Lehmann HP, Lingrey L, Miller RT, Morris M, Murphy SN, Natarajan K, Palchuk MB, Sheikh U, Solbrig H, Visweswaran S, Walden A, Walters KM, Weber GM, Zhang XT, Zhu RL, Amor B, Girvin AT, Manna A, Qureshi N, Kurilla MG, Michael SG, Portilla LM, Rutter JL, Austin CP, Gersing KR; N3C Consortium. The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment. J Am Med Inform Assoc. 2021 Mar 1;28(3):427-443. doi: 10.1093/jamia/ocaa196. PMID: 32805036; PMCID: PMC7454687

Last updated Oct 10, 2024