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

Oregon State University · Oregon Health & Science University · +29 more institutions

PubMed
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Abstract

Objective

Coronavirus disease 2019 (COVID-19) poses societal challenges that require expeditious data and knowledge sharing. Though organizational clinical data are abundant, these are largely inaccessible to outside researchers. Statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organization. Here, we introduce the National COVID Cohort Collaborative (N3C), an open science community focused on analyzing patient-level data from many centers.

Materials And Methods

The Clinical and Translational Science Award Program and scientific community created N3C to overcome technical, regulatory, policy, and governance barriers to sharing and harmonizing individual-level clinical data. We developed solutions to extract, aggregate, and harmonize data across organizations and data models, and created a secure data enclave to enable efficient, transparent, and reproducible collaborative analytics.

Citation impact

584
total citations
FWCI
36.28
Percentile
100%
References
89
Citations per year

Authors

56

Topics & keywords

Keywords
  • Computer science
  • Analytics
  • Data governance
  • Data sharing
  • Data science
  • Data management
  • Data quality
  • Knowledge management
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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Funding