Linked open drug data for pharmaceutical research and development

Matthias Samwald*, Anja Jentzsch, Christopher Bouton, Claus Stie Kallesoe, Egon Willighagen, Janos Hajagos, M. Scott Marshall, Eric Prud'hommeaux, Oktie Hassanzadeh, Elgar Pichler, Susie Stephens

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

110 Citations (Web of Science)


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.

Original languageEnglish
Article number19
Number of pages6
JournalJournal of Cheminformatics
Publication statusPublished - 16 May 2011
Externally publishedYes


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