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Web-based interactive mapping from data dictionaries to ontologies, with an application to cancer registry
Shiqiang Tao1, Ningzhou Zeng2, Isaac Hands3
1The University of Texas Health Science Center at Houston, Houston, TX, USA.
BMC Medical Informatics and Decision Making
|December 15, 2020
Summary
The Interactive Mapping Interface (IMI) system enables mapping cancer registry data dictionaries to ontologies, facilitating semantic enrichment of cancer data. This tool aids in standardizing and utilizing valuable cancer information for research and public health.
Area of Science:
- Bioinformatics
- Health Informatics
- Data Science
Background:
- The Kentucky Cancer Registry (KCR) collects incident cancer case data statewide.
- Standardized data entry relies on the North American Association of Central Cancer Registries (NAACCR) data dictionary, which lacks ontological structure.
- Mapping NAACCR data to the National Cancer Institute (NCI) Thesaurus (NCIt) can enhance cancer data utilization.
Purpose of the Study:
- To introduce the Interactive Mapping Interface (IMI), a web-based system for creating data dictionary to ontology mappings.
- To specifically facilitate mapping the NAACCR data dictionary to the NCIt.
Main Methods:
- The IMI system comprises an ontology library, a mapping interface with six modules, and an automated recommendation engine.
- A prototype was developed and pilot-tested for mapping NAACCR data elements to NCIt concepts.
- The system's architecture and interface features were reported.
Main Results:
- A prototype of the IMI was implemented and pilot-tested.
- 47 out of 301 NAACCR data elements were successfully mapped to NCIt concepts.
- Five hierarchical tree branches were identified for visual inspection of mapped concepts.
Conclusions:
- The Interactive Mapping Interface (IMI) offers a feasible, web-based solution for mapping data dictionaries to ontologies.
- Pilot testing demonstrated the system's capability for semantic enrichment of cancer registry data.
- Mapping NAACCR data elements to NCIt concepts enhances data usability and dissemination.
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