Training data scientists in genomics and responsible data science
Official title: Research Experiences in Genomic Applications of Responsible Data Science (REGARDS)
Funded at University of Virginia · NIH-10848919 · Data updated 2026-11-12
This study at the University of Virginia is all about training 45 master's students to become skilled data scientists in genomics, helping them learn both in the classroom and through hands-on projects, while also focusing on the importance of handling sensitive genetic information responsibly.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Virginia NIH-funded |
| Lab location | 1 site (Charlottesville, United States) |
| Project start | June 1, 2024 |
| Project end | May 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $733,503 |
| NIH project number | 1R25HG012918-01A1 |
| Project ID | NIH-10848919 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research include individuals interested in pursuing a career in genomics data science, particularly those from minority backgrounds.
✕Less likely to help
Patients who are not pursuing a career in data science or genomics may not receive direct benefits from this research.
What this research studies
This research initiative at the University of Virginia aims to train 45 Masters-level genomics data scientists over five years. Participants will engage in both classroom learning and hands-on research experiences, focusing on the intersection of data science and genomics. The program emphasizes responsible data practices and ethics, ensuring that the future workforce is well-equipped to handle sensitive genomic data. Students will also have the opportunity to work on capstone projects that apply their knowledge to real-world challenges in genomics.
Why it matters
Potential benefit: If successful, this research could enhance the quality and diversity of the workforce in genomics data science, ultimately leading to improved patient outcomes through better data analysis and interpretation.
How similar studies have gone: Similar educational initiatives have shown success in training diverse populations in specialized fields, indicating a promising approach for this program.
Where this research is happening
-
University of Virginia
Charlottesville, United States Active
Researchers
- Principal investigator: Brown, Donald E — University of Virginia
- Study coordinator: Brown, Donald E
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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.