STRIDES: Cloud-based tools and training to speed biomedical data research
Official title: NIH STRIDES - Azure and Associated Services and Training.
Funded at Dell Federal Systems L.p. · NIH-11621744 · Data updated 2026-11-12
A national program teams up with cloud providers to make large biomedical datasets easier to access and use for researchers, with training to help scientists adopt this powerful cloud infrastructure.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Dell Federal Systems L.p. NIH-funded |
| Lab location | 1 site (Round Rock, United States) |
| Project start | August 26, 2026 |
| Project end | June 30, 2027 |
| Funding year | 2026 |
| Award (this year) | $4,318,068 |
| NIH project number | 4OT2OD032100-02 |
| Project ID | NIH-11621744 on NIH RePORTER |
Who could benefit from this research
✓Could help
Researchers and clinicians who work with large biomedical datasets and need cloud-based data storage and analysis tools.
✕Less likely to help
Direct patient participation is not a primary focus; the grant supports infrastructure and training for researchers rather than individual patient enrollment.
What this research studies
This grant funds partnerships with commercial cloud services to lower costs and barriers for handling big biomedical data. It aims to test and improve how cloud storage and computation can be used by NIH-funded researchers while ensuring data are Findable, Accessible, Interoperable, and Reusable (FAIR). The effort includes training and guidance to help investigators adopt cloud tools and standards across NIH data sets and repositories. The goal is to accelerate biomedical advances by making data and computational resources more available to a broader research community. The work will involve evaluating cloud models and developing policies for data sharing within the NIH Data Commons framework.
Why it matters
Potential benefit: If successful, patients could benefit from faster translation of biomedical discoveries to diagnostics and treatments due to easier access to large research datasets and scalable computing resources.
How similar studies have gone: Prior efforts in data commons and cloud-based biomedical data sharing have shown promise in enabling collaboration and faster analyses, though this initiative emphasizes standardized, scalable access.
Where this research is happening
-
Dell Federal Systems L.p.
Round Rock, United States Active
Researchers
- Principal investigator: Hammondodwyer, Amy K — Dell Federal Systems L.p.
- Study coordinator: Hammondodwyer, Amy K
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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.