Improving access to large biomedical data sets using cloud technology
Official title: NIH STRIDES - Azure and Associated Services and Training.
Funded at Dell Federal Systems L.p. · NIH-11194030 · Data updated 2026-11-12
This study is working to make it easier for researchers to access and share important health data using cloud technology, so they can develop new tools and treatments that benefit everyone.
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 | September 25, 2021 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $3,291,137 |
| NIH project number | 3OT2OD032100-01SA |
| Project ID | NIH-11194030 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include patients involved in biomedical research studies that rely on large data sets for analysis and discovery.
✕Less likely to help
Patients who are not involved in biomedical research or do not have access to studies utilizing these data sets may not receive direct benefits from this research.
What this research studies
This initiative focuses on creating partnerships with commercial cloud service providers to enhance access to and computation on large biomedical data sets. By establishing standards that ensure data is Findable, Accessible, Interoperable, and Reusable (FAIR), the project aims to modernize the biomedical data ecosystem. It will test and assess cloud infrastructure models to facilitate the storage and sharing of individual datasets, ultimately making them more accessible to researchers and the broader community. The initiative also seeks to develop new computational tools that can be utilized by a wider audience, thereby accelerating biomedical advances.
Why it matters
Potential benefit: If successful, this research could significantly enhance the ability of researchers to access and utilize large biomedical data sets, leading to faster and more effective medical discoveries.
How similar studies have gone: Other research initiatives have successfully utilized cloud computing to enhance data accessibility and collaboration in biomedical research, indicating a promising approach.
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
Related research
Other NIH-funded projects on the same topics.
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NIH STRIDES: Cloud access and tools for biomedical data
A government-funded program partners with cloud providers to make big biomedical data easier to access and use, speeding discoveries for people and communities affected by health issues.
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NIH STRIDES: Cloud-based tools and training to accelerate biomedical data use
A NIH-supported plan to make big biomedical data easier and cheaper to use by partnering with cloud providers and offering training.
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STRIDES: Cloud-based tools and training to speed biomedical data research
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.
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Improving data services and training for NIH researchers using Azure.
This study is all about helping researchers at the National Institutes of Health use new technology to manage and analyze health data better, which could lead to improved research and ultimately benefit patients like you.
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Using Azure services to enhance data management in health research.
This study is exploring how to use cloud technology to help researchers manage and analyze health data better, which could lead to new treatments and improved health for patients like you.
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.