# TASK ORDER NO. 4, STSS PROGRAM SUPPORT AND TRANSITION-IN (4)

> **NIH NIH N02** · AXLE INFORMATICS, LLC · 2021 · $933,964

## Abstract

The NCATS National COVID Cohort Collaborative (N3C) Data Enclave, a centralized and secure data platform featuring powerful analytics capabilities for online discovery, visualization and collaboration for researchers studying COVID-19. The data are robust in scale and scope and are transformed into a harmonized data set to help scientists study COVID 19, including potential risk factors, protective factors and long-term health consequences. The N3C Data Enclave is anticipated to be one of the largest collections of data on COVID-19 patients in the United States. Data analysis within the enclave is supported by both R and Python, the most widely used open-source platforms for statistical analysis and data science. Researchers requesting access to, or working within, the enclave are encouraged to assemble collaborative teams with diverse expertise in such areas as clinical research, statistical analysis and informatics to make the best use of the N3C Data Enclave. A core tenet of the enclave is that it is both accessible and secure, allowing researchers to pursue research in a safe environment conducive to collaborative discovery while also allowing for the deployment of a wide variety of open source tools and components.

## Key facts

- **NIH application ID:** 10497583
- **Project number:** 75N95021D00001-0-759502100004-1
- **Recipient organization:** AXLE INFORMATICS, LLC
- **Principal Investigator:** SUHAS SHARMA
- **Activity code:** N02 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $933,964
- **Award type:** —
- **Project period:** 2021-08-01 → 2021-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10497583

## Citation

> US National Institutes of Health, RePORTER application 10497583, TASK ORDER NO. 4, STSS PROGRAM SUPPORT AND TRANSITION-IN (4) (75N95021D00001-0-759502100004-1). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10497583. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*