A collaborative effort to analyze COVID-19 patient data.
Official title: NATIONAL CLINICAL DATA COLLABORATIVE COUNTS (NACDACC)
Funded at Axle Informatics, LLC · NIH-11220287 · Data updated 2026-11-12
This study is bringing together a lot of researchers to look at different types of health information about COVID-19, like medical records and test results, to help us understand the virus better and find ways to improve care for patients.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Axle Informatics, LLC NIH-funded |
| Lab location | 1 site (North Bethesda, United States) |
| Project start | September 30, 2024 |
| Project end | September 29, 2025 |
| Funding year | 2024 |
| Award (this year) | $12,038,222 |
| NIH project number | 95023A00195024F00013-0-0-1 |
| Project ID | NIH-11220287 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who have been infected with COVID-19 and are willing to contribute their health data for analysis.
✕Less likely to help
Patients who have not been infected with COVID-19 or those who do not wish to share their health data may not receive any benefit from this research.
What this research studies
This research focuses on the National COVID-19 Cohort Collaborative (N3C), which aims to create a vast data enclave for COVID-19 research. It involves thousands of researchers working together to analyze multimodal data, including electronic health records, genomic sequences, and imaging data. The project provides a secure cloud-based environment for data sharing and complex analyses, ensuring high levels of security and privacy for sensitive patient information. By leveraging advanced information technology, the research seeks to enhance our understanding of COVID-19 and improve patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to improved treatments and understanding of COVID-19, benefiting patients through better-informed healthcare decisions.
How similar studies have gone: Other research initiatives utilizing large-scale data analysis for COVID-19 have shown promise, indicating that this approach could yield valuable insights.
Where this research is happening
-
Axle Informatics, LLC
North Bethesda, United States Active
Researchers
- Principal investigator: Mays, Gary — Axle Informatics, LLC
- Study coordinator: Mays, Gary
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.