Improving data sharing and analysis for clinical research
NIDDK DATA REPOSITORY SERVICES IDIQ
['FUNDING_OTHER'] · NIH-10451867
This study is working to make it easier for researchers to share and use health data, including patient information and medical images, so they can find new ways to help improve treatments and outcomes for patients.
Quick facts
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Trial ID | NIH-10451867 on ClinicalTrials.gov |
What this research studies
This project aims to enhance the NIDDK Central Repository by improving its capabilities in data sharing and data science. It will focus on indexing complex phenotypic data, managing digital images, and integrating electronic health records to support clinical research. The approach includes utilizing advanced data analytics, machine learning, and artificial intelligence to maximize the scientific value of the repository's resources. By making these resources more accessible, the project seeks to facilitate innovative research and improve patient outcomes.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include patients involved in clinical studies that require complex data analysis and sharing.
Not a fit: Patients who are not participating in clinical research or do not have conditions that require advanced data analytics may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the efficiency and effectiveness of clinical research, leading to better patient care and treatment options.
How similar studies have performed: Other research initiatives have successfully utilized advanced data sharing and machine learning techniques to enhance clinical research, indicating a promising approach.
Where this research is happening
RESTON, UNITED STATES
Researchers
- Principal investigator: FREEDMAN, BOB
- Study coordinator: FREEDMAN, BOB
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 below.