Improving the organization and quality of biomedical data in databases
Official title: Automated methods for standardization and enhancement of metadata in biomedical databases
Funded at University of Wisconsin-Madison · NIH-11163482 · Data updated 2026-11-12
This study is working on making it easier for researchers to find and use important health data by creating a better way to organize and label that information, so they can get clearer insights and answers from it.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Wisconsin-Madison NIH-funded |
| Lab location | 1 site (Madison, United States) |
| Project start | August 7, 2024 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $332,892 |
| NIH project number | 5R01LM014593-02 |
| Project ID | NIH-11163482 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for benefiting from this research include patients involved in biomedical studies that rely on large datasets for analysis and treatment development.
✕Less likely to help
Patients who are not involved in biomedical research or whose conditions are not represented in the analyzed datasets may not receive direct benefits from this research.
What this research studies
This research focuses on enhancing the quality and standardization of metadata in biomedical databases, which are crucial for storing and analyzing large sets of biomedical data. By developing automated methods, the project aims to create a more structured and standardized approach to metadata, making it easier for researchers to access and utilize this data effectively. The methodology involves using biomedical ontologies to assign standardized terms to data records, thereby improving data integration and query capabilities across various studies. This could lead to more comprehensive analyses and insights from existing biomedical data.
Why it matters
Potential benefit: If successful, this research could significantly improve the accessibility and usability of biomedical data for researchers, leading to better-informed medical decisions and advancements in healthcare.
How similar studies have gone: Other research has shown success in improving data standardization and integration in biomedical fields, indicating that this approach has potential for significant impact.
Where this research is happening
-
University of Wisconsin-Madison
Madison, United States Active
Researchers
- Principal investigator: Dewey, Colin Noel — University of Wisconsin-Madison
- Study coordinator: Dewey, Colin Noel
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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.