The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
Oregon State University · Oregon Health & Science University · +29 more institutions
Abstract
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.
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
- FWCI
- 36.28
- Percentile
- 100%
- References
- 89
Authors
56- MHMelissa HaendelCorresponding
Oregon State University, Oregon Health & Science University, Oregon Clinic
- CGChristopher G. ChuteCorresponding
Johns Hopkins University
- TDTellen D. Bennett
University of Colorado Anschutz Medical Campus, University of Colorado Denver
- DEDavid Eichmann
University of Iowa
- JGJustin Guinney
Sage Bionetworks
Topics & keywords
- Computer science
- Analytics
- Data governance
- Data sharing
- Data science
- Data management
- Data quality
- Knowledge management
- Industry, innovation and infrastructure