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Title: Finding and sharing: new approaches to registries of databases and services for the biomedical sciences
Authors: Smedley, Damian
Schofield, Paul
Chen, Chao-Kung
Aidinis, Vassilis
Ainali, Chrysanthi
Bard, Jonathan
Balling, Rudi
Birney, Ewan
Blake, Andrew
Bongcam-Rudloff, Erik
Brookes, Anthony J.
Cesareni, Gianni
Chandras, Christina
Eppig, Janan
Flicek, Paul
Gkoutos, Georgios
Greenaway, Simon
Gruenberger, Michael
Hériché, Jean-Karim
Lyall, Andrew
Mallon, Ann-Marie
Muddyman, Dawn
Reisinger, Florian
Ringwald, Martin
Rosenthal, Nadia
Schughart, Klaus
Swertz, Morris A.
Thorisson, Gudmundur A.
Zouberakis, Michael
Hancock, John M.
First Published: Jul-2010
Publisher: Oxford University Press
Citation: Database, 2010, Vol. 2010, Article ID baq014.
Abstract: The recent explosion of biological data and the concomitant proliferation of distributed databases make it challenging for biologists and bioinformaticians to discover the best data resources for their needs, and the most efficient way to access and use them. Despite a rapid acceleration in uptake of syntactic and semantic standards for interoperability, it is still difficult for users to find which databases support the standards and interfaces that they need. To solve these problems, several groups are developing registries of databases that capture key metadata describing the biological scope, utility, accessibility, ease-of-use and existence of web services allowing interoperability between resources. Here, we describe some of these initiatives including a novel formalism, the Database Description Framework, for describing database operations and functionality and encouraging good database practise. We expect such approaches will result in improved discovery, uptake and utilization of data resources.
DOI Link: 10.1093/database/baq014
ISSN: 1758-0463 (Online)
Version: Publisher Version
Status: Peer-reviewed
Type: Article
Rights: Copyright © The Author(s) 2010. Published by Oxford University Press. This is Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Appears in Collections:Published Articles, Dept. of Genetics

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