A Standards based Ontological Approach to Information Handling for Human Tissue Research
Author Information
Author(s): Mary E. Edgerton, Carl Morrison, Virginia A. LiVolsi, Christopher A. Moskaluk, Stephen J. Qualman, M. Kay Washington, William E. Grizzle
Primary Institution: University of Alabama at Birmingham
Hypothesis
The study aims to develop an informatics system that effectively manages tissue requests using histological definitions and complies with cancer data standards.
Conclusion
The CHTN has created a user-friendly vocabulary system and search engine for managing tissue requests that accommodates users with varying educational backgrounds.
Supporting Evidence
- The CHTN is the only specialized human tissue resource funded by the National Cancer Institute.
- Prospective collection allows researchers to control pre-analytical variables affecting research results.
- The informatics system must accommodate users with varying educational backgrounds.
Takeaway
This study helps researchers get the right human tissues for their studies by making it easier to request and manage tissue samples.
Methodology
The study describes the development of an informatics system called TissueQuest© for managing tissue requests and ensuring compliance with data standards.
Limitations
The study does not address the complexities of all non-neoplastic diseases and the evolving nature of disease terminology.
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