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The center for expanded data annotation and retrieval

Authors :
Musen, MA
Bean, CA
Cheung, K-H
Dumontier, M
Durante, KA
Gevaert, O
Gonzalez-Beltran, AN
Khatri, P
Kleinstein, SH
O'Connor, MJ
Pouliot, Y
Rocca-Serra, P
Sansone, S-A
Wiser, JA
The CEDAR Team
Source :
Journal of the American Medical Informatics Association, 22(6), 1148-1152. Oxford University Press
Publication Year :
2015
Publisher :
Oxford University Press (OUP), 2015.

Abstract

The Center for Expanded Data Annotation and Retrieval is studying the creation of comprehensive and expressive metadata for biomedical datasets to facilitate data discovery, data interpretation, and data reuse. We take advantage of emerging community-based standard templates for describing different kinds of biomedical datasets, and we investigate the use of computational techniques to help investigators to assemble templates and to fill in their values. We are creating a repository of metadata from which we plan to identify metadata patterns that will drive predictive data entry when filling in metadata templates. The metadata repository not only will capture annotations specified when experimental datasets are initially created, but also will incorporate links to the published literature, including secondary analyses and possible refinements or retractions of experimental interpretations. By working initially with the Human Immunology Project Consortium and the developers of the ImmPort data repository, we are developing and evaluating an end-to-end solution to the problems of metadata authoring and management that will generalize to other data-management environments. ? The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Details

ISSN :
1527974X and 10675027
Volume :
22
Database :
OpenAIRE
Journal :
Journal of the American Medical Informatics Association
Accession number :
edsair.doi.dedup.....80af8c1bff270133396af28be76f92a6