Dockstore: A smarter platform to share and reproduce computational biology tools
Official title: Dockstore - A Platform for Creating, Sharing, Publishing and Reproducing Computational Science
Funded at University of California Santa Cruz · NIH-11422920 · Data updated 2026-11-12
A in-depth platform update to help scientists share, find, and reuse computational tools for genomics and biomedicine, making methods more reproducible for patients and researchers.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California Santa Cruz NIH-funded |
| Lab location | 1 site (Santa Cruz, United States) |
| Project start | September 20, 2021 |
| Project end | June 30, 2031 |
| Funding year | 2026 |
| Award (this year) | $801,203 |
| NIH project number | 2U24HG011853-06 |
| Project ID | NIH-11422920 on NIH RePORTER |
Who could benefit from this research
✓Could help
This grant supports researchers and clinicians who rely on computational methods to study human health and disease and who contribute or use shared tools.
✕Less likely to help
Patients not directly involved in computational tool development or those whose care does not depend on genomics workflows may not see immediate benefits.
What this research studies
Dockstore is a shared online space for turning computational methods into reusable building blocks. The project will add AI-assisted metadata creation and smarter search so researchers can contribute high-quality tools more easily. It will also broaden support for new content types and strengthen how tools, workflows, and AI models are linked and discoverable. By improving interoperability and community engagement, this work aims to speed up trustworthy, reproducible science that could ultimately benefit patients. The effort builds on existing NIH collaborations and seeks to become an even more powerful resource for data-driven biomedical research.
Why it matters
Potential benefit: If successful, clinicians and patients could benefit from faster, more transparent access to validated computational tools used in genomics and biomedicine.
How similar studies have gone: There is a track record of successful open, shared platforms improving reproducibility and collaborative science in biomedicine.
Where this research is happening
-
University of California Santa Cruz
Santa Cruz, United States Active
Researchers
- Principal investigator: Paten, Benedict — University of California Santa Cruz
- Study coordinator: Paten, Benedict
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.