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TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

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A database model for integrating and facilitating collaborative ethnomedicinal research.

M B Thomas¹, N Lin, H H Beck

¹Department of Botany, University of Florida, Gainesville, FL, USA.

Pharmaceutical Biology

|May 11, 2011

Summary

This summary is machine-generated.

A novel database model was developed for ethnomedicinal data, integrating diverse information like images and sounds. This system supports comparative research by enabling global data sharing and contributions from the scientific community.

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Area of Science:

Ethnomedicine
Database Technology
Computational Biology

Background:

Traditional medicine systems extensively use plant-based preparations.
Managing and integrating ethnomedicinal data presents significant challenges.
Existing data systems lack standardization for diverse media and domain knowledge.

Purpose of the Study:

To develop a standardized database model for ethnomedicinal data.
To facilitate the storage, retrieval, and analysis of diverse ethnomedicinal information.
To create a foundation for a dynamic, globally accessible research resource.

Main Methods:

Object-oriented database technology was employed for model development.
Linguistic and semantic elements were incorporated to map natural language terms to database objects.
A distributed object infrastructure was designed for integration with taxonomic databases.
An interface supporting data standards was developed.

Main Results:

A comprehensive database model capable of storing text, images, sound, and video was created.
The model effectively represents domain knowledge associated with plant-based medicinal preparations.
Integration capabilities with external taxonomic databases were established.
The system supports the mapping of natural language terms to structured knowledge.

Conclusions:

The developed model provides a robust foundation for a dynamic, global ethnomedicinal data resource.
It encourages comparative ethnomedicinal research through community contributions.
The model successfully integrates diverse domain knowledge, including medical terminology, plant systematics, ecology, and pharmacology.