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Linked open drug data for pharmaceutical research and development

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 ins...

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Detalles Bibliográficos
Autores principales: Samwald, Matthias, Jentzsch, Anja, Bouton, Christopher, Kallesøe, Claus Stie, Willighagen, Egon, Hajagos, Janos, Marshall, M Scott, Prud'hommeaux, Eric, Hassenzadeh, Oktie, Pichler, Elgar, Stephens, Susie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3121711/
https://www.ncbi.nlm.nih.gov/pubmed/21575203
http://dx.doi.org/10.1186/1758-2946-3-19
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author Samwald, Matthias
Jentzsch, Anja
Bouton, Christopher
Kallesøe, Claus Stie
Willighagen, Egon
Hajagos, Janos
Marshall, M Scott
Prud'hommeaux, Eric
Hassenzadeh, Oktie
Pichler, Elgar
Stephens, Susie
author_facet Samwald, Matthias
Jentzsch, Anja
Bouton, Christopher
Kallesøe, Claus Stie
Willighagen, Egon
Hajagos, Janos
Marshall, M Scott
Prud'hommeaux, Eric
Hassenzadeh, Oktie
Pichler, Elgar
Stephens, Susie
author_sort Samwald, Matthias
collection PubMed
description 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.
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spelling pubmed-31217112011-06-24 Linked open drug data for pharmaceutical research and development Samwald, Matthias Jentzsch, Anja Bouton, Christopher Kallesøe, Claus Stie Willighagen, Egon Hajagos, Janos Marshall, M Scott Prud'hommeaux, Eric Hassenzadeh, Oktie Pichler, Elgar Stephens, Susie J Cheminform Preliminary Communication 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. BioMed Central 2011-05-16 /pmc/articles/PMC3121711/ /pubmed/21575203 http://dx.doi.org/10.1186/1758-2946-3-19 Text en Copyright ©2011 Samwald et al; licensee Chemistry Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Preliminary Communication
Samwald, Matthias
Jentzsch, Anja
Bouton, Christopher
Kallesøe, Claus Stie
Willighagen, Egon
Hajagos, Janos
Marshall, M Scott
Prud'hommeaux, Eric
Hassenzadeh, Oktie
Pichler, Elgar
Stephens, Susie
Linked open drug data for pharmaceutical research and development
title Linked open drug data for pharmaceutical research and development
title_full Linked open drug data for pharmaceutical research and development
title_fullStr Linked open drug data for pharmaceutical research and development
title_full_unstemmed Linked open drug data for pharmaceutical research and development
title_short Linked open drug data for pharmaceutical research and development
title_sort linked open drug data for pharmaceutical research and development
topic Preliminary Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3121711/
https://www.ncbi.nlm.nih.gov/pubmed/21575203
http://dx.doi.org/10.1186/1758-2946-3-19
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