Data science core to standardize and share neuroscience data and pipelines
Official title: C2: Data Science
Funded at Princeton University · NIH-11385516 · Data updated 2026-11-12
A program to standardize how neuroscience data are collected and analyzed, and to share data, code, and pipelines openly for wider use.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Princeton University NIH-funded |
| Lab location | 1 site (Princeton, UNITED STATES) |
| Project start | August 8, 2023 |
| Project end | June 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $602,209 |
| NIH project number | 5U19NS132720-04 |
| Project ID | NIH-11385516 on NIH RePORTER |
Who could benefit from this research
✓Could help
Not applicable to a specific patient population in this grant; it focuses on data infrastructure to support neuroscience research.
✕Less likely to help
Patients will not be directly recruited or studied in this core; benefits are through enhanced research infrastructure.
What this research studies
The Data Science Core will create consistent ways to collect and analyze behavioral, imaging, electrophysiology, and neural manipulation data across projects. It will adopt common data formats and make pipelines publicly available using DataJoint and Neurodata Without Borders, so other researchers can reproduce and extend findings. Researchers will publish code and data in open repositories, promoting FAIR data practices. This work will enable collaborative analyses across the U19 program and accelerate discoveries in neuroscience and brain research. Princeton University leads this effort with established pipelines for VR behavior, mesoscope imaging, and Neuropixels data, expanding them to all generated data.
Why it matters
Potential benefit: If successful, researchers and clinicians could access standardized data and ready-to-use pipelines to accelerate neuroscience discoveries and potential translational insights.
How similar studies have gone: Similar data-standardization efforts in large neuroscience consortia have improved data sharing and reproducibility, though this project is expanding these standards within a single U19 program.
Where this research is happening
-
Princeton University
Princeton, United States Active
Researchers
- Principal investigator: Brody, Carlos D — Princeton University
- Study coordinator: Brody, Carlos D
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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.