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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment.

Melissa A Haendel1,2, Christopher G Chute3, Tellen D Bennett4

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Journal of the American Medical Informatics Association : JAMIA
|August 18, 2020
PubMed
Summary
This summary is machine-generated.

The National COVID Cohort Collaborative (N3C) enables open science by overcoming barriers to share clinical data for COVID-19 research. This collaborative network facilitates rapid analysis to improve patient care and outcomes.

Keywords:
COVID-19EHR dataSARS-CoV-2clinical data model harmonizationcollaborative analyticsopen science

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Area of Science:

  • Health Informatics
  • Data Science
  • Epidemiology

Background:

  • COVID-19 necessitates rapid data sharing for effective research and public health response.
  • Existing organizational clinical data are often inaccessible to external researchers, limiting large-scale analyses.
  • Challenges in data sharing include technical, regulatory, policy, and governance barriers.

Purpose of the Study:

  • To introduce the National COVID Cohort Collaborative (N3C) as an open science community for analyzing multi-center patient-level data.
  • To overcome barriers to sharing and harmonizing individual-level clinical data for COVID-19 research.
  • To enable efficient, transparent, and reproducible collaborative analytics on a large scale.

Main Methods:

  • Established legal agreements and governance structures for participating organizations and researchers.
  • Developed data extraction scripts for identifying and ingesting COVID-19 cases (positive, negative, and possible).
  • Created a data quality assurance and harmonization pipeline to generate a unified dataset within a secure data enclave.

Main Results:

  • Successfully built a scalable infrastructure for incorporating multi-organizational clinical data for COVID-19 analytics.
  • Established inclusive workstreams, data extraction, harmonization pipelines, and a secure data enclave.
  • Initiated a synthetic data pilot to enhance data accessibility and democratize research.

Conclusions:

  • The N3C demonstrates the feasibility of a multisite collaborative network for analyzing COVID-19 clinical data.
  • This initiative facilitates rapid collaboration among clinicians, researchers, and data scientists.
  • The N3C is expected to accelerate the identification of treatments and specialized care, ultimately saving lives and reducing the impact of COVID-19.