The National Center for Advancing Translational Sciences (NCATS) and the National Center for Data to Health (CD2H), in partnership with experts from Observational Health Data Sciences and Informatics (OHDSI), PCORnet, the Accrual to Clinical Trials (ACT) network, and TriNetX, announce the launch of the National COVID Cohort Collaborative (N3C) Data Enclave. The N3C aims to aggregate, harmonize and make accessible vast amounts of data from healthcare providers nationwide to accelerate advances in COVID-19 research and clinical care. With the uncertainty of the COVID-19 global pandemic, the scientific community and Clinical and Translational Science Awards (CTSA) Program created the N3C partnership to overcome technical, regulatory, policy and governance barriers to harmonizing and sharing individual-level clinical data.

• Register for and Access to the N3C Data Enclave: https://covid.cd2h.org/N3C_data_enclave
• National COVID Cohort Collaborative (N3C) website: https://covid.cd2h.org
• National Center for Advancing Translational Sciences (NCATS) N3C webpage: https://ncats.nih.gov/n3c
• N3C FAQs: https://ncats.nih.gov/n3c/about/program-faq
• List of Institutional DUAs: https://covid.cd2h.org/enclave_DUA_signatories

A Support Desk is available for questions about accessing the N3C Data Enclave. Office Hours are available on Tuesdays & Thursdays 12-1pm ET/9-10am PT. Refer to the N3C Calendar for information.

DATA PARTNERSHIP & GOVERNANCE: Create a common data use agreement (DUA), designate a central IRB and central protocol, and establish a Data Access Committee (DAC)

Lead Contacts: John Wilbanks & Christine Suver (Sage Bionetworks)

Slack Channel | Google Group

Weekly meetings: Tuesdays 10am PT/1pm ET & Fridays 7am PT/10am ET

PHENOTYPE & DATA ACQUISITION: Identify COVID-19 patients and controls, and assist partnering data contributors with extracting and pushing data

Lead Contact: Emily Pfaff (UNC/PCORnet)

Slack Channel | Google Group | GitHub Repository

Updates provided at the Harmonization biweekly meeting: Every other Wednesday 8am PT/11am ET

Office hours: Mon & Thurs from 9-10am PT/12-1pm ET to address questions about what is required to transmit data using the N3C Phenotype with a site's common data model

DATA INGESTION & HARMONIZATION: Harmonize data into a single model to maximize analytics

Lead Contact: Chris Chute (JHU)

Slack Channel | Google Group | GitHub Repository

Biweekly meeting: Every other Wednesday 8am PT/11am ET

Office hours: Mon & Thurs from 9-10am PT/12-1pm ET to answer data ingestion questions at any stage of the process.

SYNTHETIC CLINICAL DATA: Use a variety of metrics to compare & validate quality of generated synthetic data

Slack Channel | Google Group | GitHub Repository

Lead Contacts: Philip Payne (WashU) & Atul Butte (UCSF)

Weekly meeting: Tuesdays 2:30pm PT/5:30pm ET

COLLABORATIVE ANALYTICS: Build a secure enclave and collaborative portal for deployment of machine learning and other analytical tools and methods to address key clinical and translational questions

Slack Channel | Google Group

Lead Contacts: Justin Guinney (Sage Bionetworks) & Joel Saltz (Stony Brook)

Weekly meeting: Mondays 2pm PT/5pm ET