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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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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. |
format | Online Article Text |
id | pubmed-3121711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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