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First published August 6, 2004 as JAMIA PrePrint; doi:10.1197/jamia.M1506
Journal of the American Medical Informatics Association 2004;11(6):523-534
© 2004 American Medical Informatics Association

A more recent version of this article appeared on November 1, 2004
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Submitted on November 24, 2003
Accepted on June 23, 2004

QIS: A Framework for Biomedical Database Federation

Luis Marenco MD1*, Tzuu-Yi Wang PhD2, Gordon Shepherd MD, DPhil3, Perry L. Miller MD, PhD4, and Prakash Nadkarni MD1

Affiliation of the authors: 1 Center for Medical Informatics, Department of Anesthesiology, Yale University, New Haven, CT; 2 Turboworx, Inc., Shelton, CT; 3 Department of Neurobiology, Yale University, New Haven, CT; 4 Center for Medical Informatics, Department of Anesthesiology, Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT

* To whom correspondence should be addressed.

Query Integrator System (QIS) is a database mediator framework intended to address robust data integration from continuously changing heterogeneous data sources in the biosciences. Currently in advanced prototype stage, it is being used on a production basis to integrate data from neuroscience databases developed for the SenseLab project at Yale with external neuroscience and genomics databases. The QIS framework utilizes standard technologies, and is intended to be deployable by administrators with a moderate level of technological expertise: it comes with various tools, such as interfaces for the design of distributed queries. The QIS architecture is based on a set of distributed network-based servers - data source servers, integration servers and ontology servers - that exchange metadata as well as mappings of both metadata and data elements to elements in an ontology. Metadata version difference determination, coupled with decomposition of stored queries is used as the basis for partial query recovery when the schema of data sources alters.




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