# BioData Catalyst Data Management Core Program

> **NIH NIH OT2** · RESEARCH TRIANGLE INSTITUTE · 2022 · $8,674,927

## Abstract

Project Summary
The MACH Team, led by RTI International, offers implementation excellence paired with deep 
expertise in technology innovation and scientific research to support the NHLBI’s overall 
research mission by maximizing the value of data in the NHLBI BDC. The BDC is advancing 
HLBS research by applying data science tools and techniques to NHLBI data. To ensure that 
harmonized, scientifically valuable, well-documented data assets of excellent quality can be 
made available for discovery and secondary analysis, NHLBI requires a team to partner with 
BDC’s DGs to grow the types and volume of data accessible via the Ecosystem. The DGs are 
essential partners in NHLBI’s larger vision to leverage existing data investments, democratize 
access to data and compute resources, attract underrepresented researchers and support their 
research interests, and ultimately enable novel scientific discoveries that promote prevention 
and treatment of HLBS diseases. Data are a central focus; however, it is building trusting, 
reciprocal relationships between people that will ensure success. The central challenge of the 
DMC is to enable and scale productive data sharing partnerships that advance HLBS research

## Key facts

- **NIH application ID:** 10607916
- **Project number:** 1OT2HL167310-01
- **Recipient organization:** RESEARCH TRIANGLE INSTITUTE
- **Principal Investigator:** Bruce Siege
- **Activity code:** OT2 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $8,674,927
- **Award type:** 1
- **Project period:** 2022-07-15 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10607916

## Citation

> US National Institutes of Health, RePORTER application 10607916, BioData Catalyst Data Management Core Program (1OT2HL167310-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10607916. Licensed CC0.

---

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