Improving biomedical data integration and discovery for better research outcomes

DOGSLED: Data, Ontologies, and Graphs Supporting Learning and Enhanced Discovery

['FUNDING_OTHER'] · UNIV OF NORTH CAROLINA CHAPEL HILL · NIH-11178965

This study is working on making a tool that helps researchers combine different health data to find better treatments and solutions for patients, so everyone can benefit from faster scientific discoveries.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorUNIV OF NORTH CAROLINA CHAPEL HILL (nih funded)
Locations1 site (CHAPEL HILL, UNITED STATES)
Trial IDNIH-11178965 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing a system called the Biomedical Data Translator, which integrates various biomedical data to help answer important clinical questions. By developing a new framework known as DOGSLED, the project aims to improve the efficiency and usability of this system, making it a more effective tool for researchers. Patients can benefit from this research as it seeks to accelerate scientific discoveries that could lead to better treatments and healthcare solutions. The project involves collaboration with various teams to ensure a comprehensive approach to data integration and discovery.

Who could benefit from this research

Good fit: Ideal candidates for benefiting from this research include patients with conditions that require innovative treatment approaches informed by integrated biomedical data.

Not a fit: Patients with conditions that are not addressed by the current biomedical data integration efforts may not receive direct benefits from this research.

Why it matters

Potential benefit: If successful, this research could lead to faster and more effective treatments for patients by improving how biomedical data is utilized in clinical settings.

How similar studies have performed: Other research initiatives focused on data integration and AI in healthcare have shown promise, indicating that this approach could yield significant advancements.

Where this research is happening

CHAPEL HILL, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.