COVID-19 Update: June 25

CCTS will continue virtual support as research restarts on campus. We are also supporting OPRS as human subject studies resume. Know what this means for your protocol.

Building a COVID-19 Analytics Platform to Turn Clinical Data into Knowledge

graphic of a united states map with data related icons around it

The National Institutes of Health has launched a centralized, secure enclave to store and study vast amounts of medical record data from people diagnosed with coronavirus disease across the country. It is part of an effort, called the National COVID Cohort Collaborative (N3C), to help scientists analyze these data to understand the disease and develop treatments. The N3C harnesses the extensive resources of the NCATS-funded Clinical and Translational Sciences Awards (CTSA) Program and its Center for Data to Health (CD2H), with overall stewardship from NCATS.

The initiative will create an analytics platform to systematically collect clinical, laboratory and diagnostic data from health care provider organizations nationwide. It will then harmonize the aggregated information into a standard format and make it available rapidly for researchers and health care providers to accelerate COVID-19 research and provide information that may improve clinical care.

There currently are 35 collaborating sites across the country. Diverse data from individuals tested for COVID-19 and related diseases are provided by institutions and organizations that execute the NCATS Data Transfer Agreement (DTA). Data access will be open to all users under a forthcoming NCATS Data Use Agreement (DUA), regardless of whether they contribute data.  NCATS is taking multiple security and privacy measures such as implementing user registration, federated login, data use agreements with institutions and data use requests with users. For more details, see the N3C FAQs

Learn more about the N3C and view a demonstration of the platform.