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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
Developing metadata to organize public health datasets
Michael D Matters1, Akaki Lekiachvili, Thomas Savel
1Public Health Informatics Fellowship Program, OWCD,CDC, Atlanta, GA, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|June 17, 2006
Summary
The Centers for Disease Control and Prevention (CDC) created a metadata catalog and search system for its extensive datasets. This improves access to national health data for public health research and activities.
Area of Science:
- Public Health
- Data Management
- Information Science
Background:
- The Centers for Disease Control and Prevention (CDC) possesses numerous valuable surveillance and research datasets.
- These datasets were previously uncatalogued, hindering efficient data utilization and comprehensive analysis of national health status.
Purpose of the Study:
- To develop metadata standards for cataloging CDC datasets.
- To create a searchable system for at least 95% of CDC databases.
- To explore stakeholder and user involvement in the cataloging process.
Main Methods:
- Development of a metadata schema tailored for public health datasets.
- Implementation of a search system accessible to CDC researchers.
- Incorporation of user feedback throughout the development lifecycle.
Main Results:
- A functional metadata catalog and search system was successfully developed.
- The system enables researchers to query datasets using relevant research criteria.
- The project confirmed the importance of user and stakeholder engagement.
Conclusions:
- The developed metadata and system enhance the CDC's capacity to leverage its data assets.
- Improved data accessibility supports a broader understanding of national health.
- The system is currently restricted to internal CDC use for researchers.
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