Creating a standard for sharing behavioral data in research
Official title: Psych-DS: A FAIR data standard for behavioral datasets
Funded at Massachusetts Institute of Technology · NIH-10645923 · Data updated 2026-11-12
This study is working on a new way to make it easier for researchers to share and use behavioral data about children, which can help us better understand how their brains work, all while making sure it fits smoothly into their existing research methods.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massachusetts Institute of Technology NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project start | August 1, 2023 |
| Project end | July 31, 2026 |
| Funding year | 2023 |
| Award (this year) | $1,093,825 |
| NIH project number | 1RF1MH132747-01 |
| Project ID | NIH-10645923 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are children aged 0-11 years who are involved in behavioral studies related to brain and cognitive development.
✕Less likely to help
Patients who are outside the age range of 0-11 years or those not participating in behavioral research may not benefit from this research.
What this research studies
This research focuses on developing a standardized framework called Psych-DS for sharing behavioral datasets in biomedical research. It aims to improve the findability, accessibility, interoperability, and reusability of behavioral data, which is crucial for understanding brain function and behavior in children. By collaborating with researchers, the project will create tools that ensure compatibility across different programming languages and streamline the data-sharing process. This initiative will help researchers adopt the new standard without disrupting their current workflows.
Why it matters
Potential benefit: If successful, this research could enhance the quality and efficiency of behavioral data sharing, leading to better insights into child development and brain function.
How similar studies have gone: Other research initiatives have successfully implemented data standards in various fields, suggesting that this approach could also yield positive results in behavioral sciences.
Where this research is happening
-
Massachusetts Institute of Technology
Cambridge, United States Active
Researchers
- Principal investigator: Kline Struhl, Melissa — Massachusetts Institute of Technology
- Study coordinator: Kline Struhl, Melissa
Related research
Other NIH-funded projects on the same topics.
-
PhysioNet: A trusted, open data repository for clinical and physiological data
A publicly accessible platform provides curated clinical and physiological data and tools to help researchers develop and test AI models for better healthcare.
-
Dormancy in Triple-Negative Breast Cancer: How Liver and Skin Metastases Go Quiet or Reactivate
Researchers will study how dormant cancer cells in liver and skin metastases of triple-negative breast cancer become quiescent or wake up, using organ-on-chip models and single-cell analysis to map chromatin states.
-
Single-cell, label-free mapping of senescence in tissues with Raman imaging and spatial genomics
A project to map how senescent cells differ across tissues using a noninvasive Raman imaging method combined with spatial genomics.
-
Structures and dynamics of virus ion channels
This project studies the tiny channels in certain influenza and coronavirus viruses to understand how they let ions pass through and contribute to disease.
-
Prospect: Stem Cell Models for Early-Onset Colorectal Cancer Prevention
Researchers at MIT are using stem cell models to understand why colorectal cancer is rising in people under 50 and how to prevent it.
-
MATCHMAKERS: AI tools to predict TCR binding and design
Researchers are building AI tools to predict how T cell receptors recognize tumor antigens, with aims to help improve targeted immunotherapies.
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.