Innovative Data Core for Stillbirth Research Center
Official title: Innovative Technologies Core for the Stillbirth Research Consortium Data Coordinating Center
Funded at Research Triangle Institute · NIH-11416404 · Data updated 2026-11-12
A data and software core is being built to harmonize and analyze information from multiple sites to uncover why stillbirth happens and to support future prevention.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Research Triangle Institute NIH-funded |
| Lab location | 1 site (Research Triangle Park, United States) |
| Project start | September 15, 2025 |
| Project end | July 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $1,454,124 |
| NIH project number | 5UM2HD119552-02 |
| Project ID | NIH-11416404 on NIH RePORTER |
Who could benefit from this research
✓Could help
People who experience or are at risk for stillbirth, and populations contributing data or samples to related studies.
✕Less likely to help
Patients not involved in data collection or those not connected to stillbirth research may not directly benefit.
What this research studies
This project creates a centralized data coordinating core that standardizes how data are collected and shared across research centers studying stillbirth. It will bring together data scientists, informaticians, statisticians, and clinicians to develop tools and pipelines for robust multi-site analyses. The goal is to accelerate discovery by making data more comparable, improving predictive insights, and guiding future preventive strategies. The effort focuses on complex data harmonization, analytics, and collaboration across institutions to overcome existing barriers in stillbirth research.
Why it matters
Potential benefit: If successful, the core could enable faster, more reliable findings that inform prevention and care for pregnancies at risk of stillbirth.
How similar studies have gone: Prior multi-center collaborations have shown that standardized data improve comparability and statistical power in pregnancy research.
Where this research is happening
-
Research Triangle Institute
Research Triangle Park, United States Active
Researchers
- Principal investigator: Chew, Rob — Research Triangle Institute
- Study coordinator: Chew, Rob
Related research
Other NIH-funded projects on the same topics.
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Stillbirth Data Hub: Coordinating Center for Big-Data and AI in Stillbirth Research
A national data hub is being built to coordinate data, biorepository, and analytics for stillbirth research using advanced AI and machine learning.
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Genetic roots of stillbirth and developmental disorders
A genetic study from Massachusetts General Hospital will look for inherited and new DNA changes that contribute to stillbirth and related developmental disorders in families.
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Administrative Core for Stillbirth Research Coordinating Center
A coordination core is being funded to organize and manage data, collaborations, and administration to help stillbirth research move forward.
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Stillbirth Data Coordinating Center focusing on AI-powered insights
A national data hub is using advanced AI and machine learning to analyze stillbirth data and help researchers find patterns that could prevent or understand stillbirth.
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NOURISH: nutrition and health factors linked to pregnancy outcomes and stillbirth risk
Aimed at understanding how nutrition and stress-related health factors affect placental function to prevent stillbirths in pregnancies.
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Road to Preventing Stillbirth at the University of Utah
A pathway-focused program at the University of Utah aims to reduce stillbirth by improving risk identification and addressing disparities among AIAN and NHPI communities.
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.