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Volume 66 | October 31, 2023

A program of NIH’s National Center for Advancing Translational Sciences

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Sites Sharing Data with N3C







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28.9 billion


N3C Research



NCATS N3C Receives HHS Secretary’s Award for Distinguished Service

The NCATS National COVID Cohort Collaborative (N3C) received the 2023 Secretary’s Award for Distinguished Service. This is the highest honor award granted by the Department of Health and Human Services and conferred by the Secretary. The award recognizes HHS employees for their sustained excellence. 

The award reflects on the important teamwork that was needed to develop and launch the N3C—including important NIH expertise from scientific, administrative, policy, regulatory, technical, and other staff who spearheaded this national research resource.

NCATS’ Sam Michael accepted the 2023 U.S. Department of Health and Human Services (HHS) Departmental Award on behalf of the NCATS National COVID Cohort Collaborative Data Enclave.

N3C has transformed how NIH and other federal agencies view big data, open science, and the power of cloud-based collaborative platforms. The award underscores the impact of NCATS’ translational science approaches to accelerate research on COVID-19. It’s great to see team science recognized in this way!

N3C Cardiovascular Disease Domain Team Makes Early Discoveries in Link Between COVID-19 and Cardiovascular Disease

The Cardiovascular Diseases Domain Team (CVDT) is composed of individuals with a variety of backgrounds including clinicians, analysts, biostatisticians, and scientists from many institutions across the country, working collaboratively towards new discoveries of the impact of COVID-19 on cardiovascular diseases. Since the first meeting in February 2021, this group has been productive in researching COVID-19-related clinical cardiovascular health problems, learning about the relationship between COVID-19 and cardiovascular disease, and disseminating findings through manuscripts and abstract presentations at national meetings. In addition, CVDT members have been involved in supporting the N3C community in a number of activities including concept set creation and quality review of concept sets that have led to supporting the creation of N3C recommended concept sets and serving as beta-testers for the new publications intent platform.

Early efforts by the CVDT focused on investigating the impact of COVID-19 on patients with active cancers and measuring differences in major adverse cardiovascular events (MACE). This work resulted in three abstract presentations at the American College of Cardiology (ACC) 2022 Annual Meeting (Patel B, et al, Visaria A, et al, Visaria A, et al) and a recent publication in the journal Cardio-Oncology (Patel B, et al.). Additional work resulting in abstract presentations at ACC include an evaluation of outcomes and complications in patients with CVD infected with COVID-19 (Khodaverdi M, et al.) and the impact of health disparities in vaccinated CVD patients infected with COVID-19 (Khodaverdi M, et al).

More recent work has been related to exploring the impact of CVD-related comorbidities on MACE outcomes in COVID-19-infected patients with pre-existing heart failure and myocarditis/pericarditis diagnosis trends during the pre-COVID-19 era (Jan 2018-March 2020), the COVID-19/pre-vaccine era (April-December 2020), and COVID-19 and vaccine era (January 2021-March 2023). We have also explored the incidence of new cardiovascular complications between COVID-19 infection and receiving an mRNA vaccine.

Some recent CVDT research projects include:

  • COVID-19 Related Major Adverse Cardiovascular Events in Patients with Pre-Existing Heart Failure

  • Myocarditis and Pericarditis Diagnosis Trends from 2018-2023 and the Influence of COVID-19 Infection and mRNA COVID-19 Vaccines

  • Comparison of Cardiovascular Complications Associated with Myocarditis and Pericarditis Between COVID-19 Infection and mRNA COVID-19 Vaccines

  • Methodological Quality Checks for OMOP Drug Concept Set Creation

The CVDT welcomes new team members and project ideas and has offered collaborative support for new projects. To learn more about the Cardiovascular Diseases Domain Team or to join our Domain Team, please visit or email

Meetings are held every other Thursday at 4 PM ET/1 PM PT

Next Meeting: November 2, 2023

N3C hosts workshop at the 2023 ScienceWriters Conference in Colorado

The annual ScienceWriters conference is a joint meeting of the National Association of Science Writers and the Council for the Advancement of Science Writing. A mix of professional development workshops, briefings on the latest scientific research, extensive networking opportunities, and field trips, it is a meeting for science writers, by science writers, with content to appeal to both the newest writers and seasoned professionals. 

Left to right: Anita Walden, Shawn O'Neil, Emily Marti

The N3C workshop, led by Anita Walden and Shawn O’Neil, of the University of Colorado Anschutz, introduced journalists to the National COVID Cohort Collaborative, which hosts hundreds of research projects using records representing over 20 million patients from around the US. Anita and Shawn discussed the team’s organization and how journalists can get involved, including data access requirements and finding collaborators with similar interests. A brief technical demonstration and hands-on activities showed participants the power and utility of large-scale health data analysis.

Enclave Support for Thanksgiving

Monday, November 20 - Friday, November 25

The Enclave support team will provide reduced coverage for critical issues and platform outage support only (one person from the Enclave team will be on call). If you experience platform issues or outages that are preventing you from completing your work, please file an Issue within the Enclave and set the priority to Critical. A member of our on-call support will get back to you. For all other non-urgent issues, we will respond when we return.

Releases and Updates Now Available in the Enclave

N3C Assist tool now available for N3C Researchers

N3C Assist is a new enclave tool designed to make it easier to get quick information about N3C Governance and Resources. This Large Language Model (LLM) is currently trained on information from enclave resources like the Knowledge Store, Training Modules, and off-platform resources like the Guide to N3C and public N3C FAQs. N3C Assist makes it easy to find the links you need, ask the questions you have, and identify resources you weren’t aware of. In addition to N3C Assist, N3C is working with the community to explore ways to integrate LLMs into research. Try N3C Assist here!

Click Here for a Full List of Recent Enclave Updates, Functionalities, & Enhancements

De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository

An N3Community Forum Presentation by Emily Pfaff

Machine learning (ML)-driven computable phenotypes are among the most challenging to share and reproduce. Despite this difficulty, the urgent public health considerations around Long COVID make it especially important to ensure the rigor and reproducibility of Long COVID phenotyping algorithms so they can be made available to a broad audience of researchers. As part of the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, researchers with the National COVID Cohort Collaborative (N3C) devised and trained an ML-based phenotype to identify patients highly probable to have Long COVID. Supported by RECOVER, N3C and NIH's All of Us study partnered to reproduce the output of N3C's trained model in the All of Us data enclave, demonstrating model extensibility in multiple environments. This case study in ML-based phenotype reuse illustrates how open-source software best practices and cross-site collaboration can de-black-box phenotyping algorithms, prevent unnecessary rework, and promote open science in informatics.

View the Recording Here

Submit a Story for the White House Year of Open Science Recognition Challenge

The White House Office of Science and Technology Policy (OSTP), in collaboration with federal agencies participating in a Year of Open Science, invites researchers, community scientists, educators, innovators, and members of the broader public to share stories of how they’ve advanced equitable open science.

Submissions Close on November 22, 2023.

Learn more and enter

N3C Collaborators at the AMIA 2023 Annual Symposium

Save the Date!

The AMIA 2023 Annual Symposium centers on "Transforming Healthcare and Biomedicine for a Sustainable Future," tackling critical challenges in healthcare and biomedicine. The event emphasizes informatics' role in fostering sustainability and invites professionals worldwide to join in shaping a more equitable future. We are excited to share that many of our N3C collaborators will be presenting at the event.

  • A Standard Operating Procedure for Concept Set Creation in the National COVID Cohort Collaborative

Speaker: Eileen Keck, BS, Stony Brook University  Author: Margaret Hall, MS, Emory University  Author: Adit Anand, BS, Stony Brook University  Author: Shreya Sinha, MS, Stony Brook University  Author: Tejas Patel, MD, Stony Brook University  Author: Dipika Rana, MD, FAAP, Stony Brook Medicine  

Author: Sigfried Gold, MFA MA, Johns Hopkins University  Author: Rachel Wong, MD MPH MBA, Stony Brook University, School of Medicine  Author: Harold Lehmann, MD PhD FACMI, Johns Hopkins University  Author: Richard Moffitt, PhD, Emory University

  • Investigating COVID-19 outcomes for rare disease patients using semantic similarity and computational phenotyping

Speaker: Bryan Laraway, MS  Author: Justin Reese, PhD  Author: Katherina Cortes  Author: Andrew Williams, PhD  Author: Julie McMurry, MPH  Author: Tiffany Callahan, PhD, Columbia University Irving Medical Center  

Author: Peter Robinson, MD, MS  Author: Melissa Haendel, PhD, FACMI, University of Colorado Anschutz Medical Campus

  • Value Set Curation in a Clinical Data Research Network: Certifying National COVID Cohort Collaborative (N3C) Recommended Concept Sets

Speaker: Johanna Loomba, ME, University of Virginia  Author: Stephanie Hong, BS, FAMIA, Johns Hopkins University School of Medicine  Author: Lisa Eskenazi, MHA, Johns Hopkins University School of Medicine  Author: Andrea Zhou, M.E., University of Virginia  Author: Xiaohan Zhang, MD, MS, Johns Hopkins University School of Medicine  

Author: Sigfried Gold, MFA MA, Johns Hopkins University  Author: Richard Moffitt, PhD, Emory University  Author: Richard Zhu, MD, Johns Hopkins University School of Medicine  Author: Amin Manna, ME, Palantir  Author: Saad Ljazouli, ME, Palantir  Author: Christopher Chute, MD, DrPH, Johns Hopkins University  Author: Harold Lehmann, MD PhD FACMI, Johns Hopkins University

  • Harnessing Electronic Health Record data for Causal Inference through Target Trial Emulation: lessons from N3C-RECOVER

Speaker: Abhishek Bhatia, MS, University of North Carolina at Chapel Hill  Author: Alexander Preiss, MA, MS, RTI International  Author: Emily Pfaff, PhD, UNC Chapel Hill School of Medicine

  • And many others!
View the full program schedule

Register for the AMIA 2023 Annual Symposium here

Save the Date!

AMIA 2024 Informatics Summit

March 18 - 21

Boston, MA

What the Research Community is Saying about N3C

Anjali Sharathkumar

Professor of Pediatric

Director of Hemophilia Program,

Stead Family Department of Pediatrics

University of Iowa

N3C is a great resource for the community to answer emerging intriguing questions about risk factors and complications of COVID-19 in a broad scope of diseases. The database is rich and helped me to contribute to advancing the impact of COVID in rare diseases like hemophilia. Use of The N3C support staff is highly responsive to addressing clinical questions of folks like myself who are naïve in researching large databases. The leadership team was also supportive of seeking external funding in terms of providing letters of support and other necessary documents. I strongly encourage that more and more physicians should join the N3C community to advance the science.

Submit your Manuscript to the Journal of Clinical and Translational Science

Themed Issue: Integration of Social Determinants of Health with Clinical and Translational Science

The Journal of Clinical and Translational Science is issuing a Call for Papers for a special themed issue which will focus on studies that address social determinants of health (SDoH) in clinical and translational science.  

Deadline: December 31, 2023

Learn More and Submit

To help our community with a positive and productive workload, N3C schedules several “No Meeting Weeks” throughout the year. The next N3C No Meeting Week will take place November 13 - November 17.

N3C support will continue with regular operations during these dates. Most meetings will be canceled. Impromptu meetings can still occur to push through action items as needed during no meeting week. Workgroups and Domain Teams should check with their Leads to determine meeting schedules for that week. 

Upcoming N3Community Forums

Register for the Forum



No N3Community Forum



Hormone Replacement Therapy and COVID-19 Outcomes in Solid Organ Transplant Recipients Compared with the General Population

Amanda Vinson

Nova Scotia Health

Missed an N3Community Forum or want to revisit a past Forum? You can find all the videos on our YouTube page.

Share your thoughts: Looking for ways to bring relevant and exciting presentations to the Forum. Let us know if there are topics, presentations, or speakers you would like to see:

N3Community Forum Schedule

N3C In the News

Listen: This NIH Center’s Plan Tackles Emerging Tech, Big Data Challenges

NCATS is preparing to roll out its latest plan to leverage emerging technologies, tackle translational barriers and encourage feedback from constituents. 

Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study

More than one-third of individuals experience post-acute sequelae of SARS-CoV-2 infection (PASC, which includes long-COVID). The objective is to identify risk factors associated with PASC/long-COVID diagnosis.

The Future of AI and Informatics in Radiology: 10 Predictions

Artificial intelligence (AI) and informatics are transforming radiology. Ten years ago, no expert would have predicted today’s vibrant radiology AI industry with over 100 AI companies and nearly 400 radiology AI algorithms cleared by the U.S. Food and Drug Administration (FDA).

Revolutionizing Research: Countrywide Databases Unleash Discovery but Not So Fast in the US

Which conditions are caused by infection? Though it may seem like an amateur concern in the era of advanced microscopy, some culprits evade conventional methods of detection. Large medical databases hold the power to unlock answers.

What causes long COVID? The answer might be in your gut

New research shows that remnants of the virus in the gut cause chronic inflammation—which may disrupt communication with the brain. Can antidepressants help? Nearly one in five people who have had COVID-19 in the United States continue to suffer from symptoms of long COVID

Augmenting the National COVID Cohort Collaborative (N3C) Dataset with Medicare and Medicaid (CMS) Data, Secure and Deidentified Clinical Dataset

The National COVID Cohort Collaborative (N3C) data Enclave is a platform that provides researchers access to COVID-related patient EHR data in OMOP CDM format.

Outcomes of SARS-CoV-2 Infection Among Patients with Orthopaedic Fracture Surgery in the National COVID Cohort Collaborative (N3C)

The objective of this study was to investigate the outcomes of COVID-19-positive patients undergoing orthopaedic fracture surgery using data from a national database of U.S. adults with a COVID-19 test for SARS-CoV-2.

Effectiveness of various COVID-19 vaccine regimens among 10.4 million patients from the National COVID Cohort Collaborative during Pre-Delta to Omicron periods - United States, 11 December 2020 to 30 June 2022

This study reports the vaccine effectiveness (VE) of COVID-19 vaccine regimens in the United States, based on the National COVID Cohort Collaborative (N3C) database.

Scalable Infrastructure Supporting Reproducible Nationwide Healthcare Data Analysis toward FAIR Stewardship

Transparent and FAIR disclosure of meta-information about healthcare data and infrastructure is essential but has not been well publicized. In this paper, we provide a transparent disclosure of the process of standardizing a common data model and developing a national data infrastructure using national claims data.

Scalable Infrastructure Supporting Reproducible Nationwide Healthcare Data Analysis toward FAIR Stewardship

Transparent and FAIR disclosure of meta-information about healthcare data and infrastructure is essential but has not been well publicized. In this paper, we provide a transparent disclosure of the process of standardizing a common data model and developing a national data infrastructure using national claims data. 

Epidemiology and Severity of Illness of MIS-C and Kawasaki Disease During the COVID-19 Pandemic

Multisystem inflammatory syndrome in children (MIS-C) is a novel, severe condition following severe acute respiratory syndrome coronavirus 2 infection. Large epidemiologic studies comparing MIS-C to Kawasaki disease (KD) and evaluating the evolving epidemiology of MIS-C over time are lacking.

A temporal analysis of perioperative complications following COVID-19 infection in patients undergoing lumbar spinal fusion: When is it safe to proceed?

COVID-19 has been shown to adversely affect multiple organ systems, yet little is known about its effect on perioperative complications after spine surgery or the optimal timing of surgery after an infection. We used the NIH National COVID Cohort Collaborative (N3C) database to characterize the risk profile in patients undergoing spine surgery during multiple time windows following COVID-19 infection.

More N3C In the News

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The National COVID Cohort Collaborative (N3C) is a complementary and synergistic partnership among the Clinical and Translational Science Awards (CTSA) Program hubs, the National Center for Data to Health (CD2H), distributed clinical data networks (PCORnet, OHDSI, ACT, TriNetX), and other partner organizations, with overall stewardship by NIH’s National Center for Advancing Translational Sciences (NCATS). The N3C aims to improve the efficiency and accessibility of analyses using a very large row-level (patient-level) COVID-19 clinical dataset, demonstrate a novel approach for collaborative pandemic data sharing, and speed understanding of and treatments for COVID-19.

Visit the N3C Website
CD2H is supported by the National Center for Advancing Translational Sciences (NCATS) 
at the National Institutes of Health
(Grant U24TR002306).

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