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First published June 4, 2003 as JAMIA PrePrint; doi:10.1197/jamia.M1303
Journal of the American Medical Informatics Association 2003;10(5):444-453
© 2003 American Medical Informatics Association

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Submitted on December 3, 2002
Accepted on May 4, 2003

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

Luis Marenco MD1, Nicholas Tosches MD1, Chiquito Crasto PhD1, Gordon Shepherd MD, DPhil2, Perry L. Miller MD, PhD1, and Prakash M. Nadkarni MD1*

Affiliation of the authors: 1 Center for Medical Informatics, Yale University School of Medicine, New Haven, CT; 2 Department of Neurobiology, Yale University School of Medicine, New Haven, CT

* To whom correspondence should be addressed.

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 paper 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, 4) semantic descriptors for inter-class relationships and links to controlled vocabularies such as the UMLS.




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