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The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration

Authors :
Susanna-Assunta Sansone
Louis J. Goldberg
Suzanna E. Lewis
Karen Eilbeck
Jonathan Bard
Michael Ashburner
Nigam H. Shah
Alan Ruttenberg
Amelia Ireland
Christopher J. Mungall
Patricia L. Whetzel
Philippe Rocca-Serra
Werner Ceusters
Neocles B. Leontis
Barry Smith
Richard H. Scheuermann
Cornelius Rosse
William J. Bug
Source :
Nature Biotechnology. 25:1251-1255
Publication Year :
2007
Publisher :
Springer Science and Business Media LLC, 2007.

Abstract

The value of any kind of data is greatly enhanced when it exists in a form that allows it to be integrated with other data. One approach to integration is through the annotation of multiple bodies of data using common controlled vocabularies or ‘ontologies’. Unfortunately, the very success of this approach has led to a proliferation of ontologies, which itself creates obstacles to integration. The Open Biomedical Ontologies (OBO) consortium is pursuing a strategy to overcome this problem. Existing OBO ontologies, including the Gene Ontology, are undergoing coordinated reform, and new ontologies are being created on the basis of an evolving set of shared principles governing ontology development. The result is an expanding family of ontologies designed to be interoperable and logically well formed and to incorporate accurate representations of biological reality. We describe this OBO Foundry initiative and provide guidelines for those who might wish to become involved.

Details

ISSN :
15461696 and 10870156
Volume :
25
Database :
OpenAIRE
Journal :
Nature Biotechnology
Accession number :
edsair.doi.dedup.....8629e1c26a33f4660d70950f05f025ff
Full Text :
https://doi.org/10.1038/nbt1346