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Linked open drug data for pharmaceutical research and development

Authors :
Samwald Matthias
Jentzsch Anja
Bouton Christopher
Kallesøe Claus
Willighagen Egon
Hajagos Janos
Marshall M
Prud'hommeaux Eric
Hassenzadeh Oktie
Pichler Elgar
Stephens Susie
Source :
Journal of Cheminformatics, Vol 3, Iss 1, p 19 (2011)
Publication Year :
2011
Publisher :
BMC, 2011.

Abstract

Abstract There is an abundance of information about drugs available on the Web. Data sources range from medicinal chemistry results, over the impact of drugs on gene expression, to the outcomes of drugs in clinical trials. These data are typically not connected together, which reduces the ease with which insights can be gained. Linking Open Drug Data (LODD) is a task force within the World Wide Web Consortium's (W3C) Health Care and Life Sciences Interest Group (HCLS IG). LODD has surveyed publicly available data about drugs, created Linked Data representations of the data sets, and identified interesting scientific and business questions that can be answered once the data sets are connected. The task force provides recommendations for the best practices of exposing data in a Linked Data representation. In this paper, we present past and ongoing work of LODD and discuss the growing importance of Linked Data as a foundation for pharmaceutical R&D data sharing.

Details

Language :
English
ISSN :
17582946
Volume :
3
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Cheminformatics
Publication Type :
Academic Journal
Accession number :
edsdoj.56b34d7b240f498890c83f1b3c91acdb
Document Type :
article
Full Text :
https://doi.org/10.1186/1758-2946-3-19