Journal Article

Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances

Luis Marenco, Nicholas Tosches, Chiquito Crasto, Gordon Shepherd, Perry L. Miller and Prakash M. Nadkarni

in Journal of the American Medical Informatics Association

Published on behalf of American Medical Informatics Association

Volume 10, issue 5, pages 444-453
Published in print September 2003 | ISSN: 1067-5027
Published online September 2003 | e-ISSN: 1527-974X | DOI: http://dx.doi.org/10.1197/jamia.M1303
Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances

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  • Medical Statistics and Methodology
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Abstract

The EAV/CR framework, designed for database support of rapidly evolving scientific domains, utilizes metadata to facilitate schema maintenance and automatic generation of Web-enabled browsing interfaces to the data. EAV/CR is used in SenseLab, a neuroscience database that is part of the national Human Brain Project. This report describes various enhancements to the framework. These include (1) the ability to create “portals” that present different subsets of the schema to users with a particular research focus, (2) a generic XML-based protocol to assist data extraction and population of the database by external agents, (3) a limited form of ad hoc data query, and (4) semantic descriptors for interclass relationships and links to controlled vocabularies such as the UMLS.

Journal Article.  7986 words.  Illustrated.

Subjects: Medical Statistics and Methodology ; Bioinformatics and Computational Biology ; Biomathematics and Statistics

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