Data Science Core supports biomedical researchers and students
Official title: Data Science Core
Funded at University of Rhode Island · NIH-11403846 · Data updated 2026-11-12
A data science core at the University of Rhode Island helps researchers and students manage and analyze biomedical data using AI, 3D visualization, and other modern tools.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Rhode Island NIH-funded |
| Lab location | 1 site (Kingston, United States) |
| Project start | September 30, 2001 |
| Project end | April 30, 2029 |
| Funding year | 2026 |
| Award (this year) | $210,658 |
| NIH project number | 5P20GM103430-26 |
| Project ID | NIH-11403846 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and students in Rhode Island institutions involved in biomedical research who need data science, bioinformatics, or machine learning support.
✕Less likely to help
Direct patient participation is not described; the grant funds infrastructure and training rather than recruiting patients.
What this research studies
This grant funds a data science core that provides bioinformatics, biomedical data science consulting, data analysis, and training to Rhode Island investigators and students. It aims to expand capabilities in next-generation sequencing, 3D visualization, and cloud computing, keeping researchers up to date with new technologies. The core collaborates with the regional RI-INBRE facilities to streamline omics data pipelines and expand research capacity across institutions. Through Outreach and training activities, it supports hands-on learning and provides access to advanced data analysis resources for the RI biomedical community.
Why it matters
Potential benefit: Patients could benefit indirectly through faster, more robust biomedical research and training that accelerates discoveries relevant to human health.
How similar studies have gone: This type of core has shown positive impact in enabling data-heavy biomedical projects and training in similar state networks.
Where this research is happening
-
University of Rhode Island
Kingston, United States Active
Researchers
- Principal investigator: Hemme, Christopher Lee — University of Rhode Island
- Study coordinator: Hemme, Christopher Lee
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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.