Achieving evolvable web-database bioscience applications using the EAV/CR framework: Recent advances

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

Research output: Contribution to journalArticlepeer-review

40 Scopus citations

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.

Original languageEnglish
Pages (from-to)444-453
Number of pages10
JournalJournal of the American Medical Informatics Association
Volume10
Issue number5
DOIs
StatePublished - 2003

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