Why open drug discovery needs four simple rules for licensing data and models
- PMID: 23028298
- PMCID: PMC3459841
- DOI: 10.1371/journal.pcbi.1002706
Why open drug discovery needs four simple rules for licensing data and models
Abstract
When we look at the rapid growth of scientific databases on the Internet in the past decade, we tend to take the accessibility and provenance of the data for granted. As we see a future of increased database integration, the licensing of the data may be a hurdle that hampers progress and usability. We have formulated four rules for licensing data for open drug discovery, which we propose as a starting point for consideration by databases and for their ultimate adoption. This work could also be extended to the computational models derived from such data. We suggest that scientists in the future will need to consider data licensing before they embark upon re-using such content in databases they construct themselves.
Conflict of interest statement
Sean Ekins consults for Collaborative Drug Discovery, Inc. and is on the Board of Directors of the Pistoia Alliance. Antony J. Williams is employed by The Royal Society of Chemistry, which hosts the ChemSpider database discussed in this article. John Wilbanks consults for and sits on the Board of Directors at Sage Bionetworks, which runs an open access database of genomic and health information.
Similar articles
-
A pitfall of wiki solution for biological databases.Brief Bioinform. 2009 May;10(3):295-6. doi: 10.1093/bib/bbn053. Epub 2008 Dec 6. Brief Bioinform. 2009. PMID: 19060305
-
Computational provenance in hydrologic science: a snow mapping example.Philos Trans A Math Phys Eng Sci. 2009 Mar 13;367(1890):1021-33. doi: 10.1098/rsta.2008.0187. Philos Trans A Math Phys Eng Sci. 2009. PMID: 19087938
-
GODIVA2: interactive visualization of environmental data on the Web.Philos Trans A Math Phys Eng Sci. 2009 Mar 13;367(1890):1035-9. doi: 10.1098/rsta.2008.0180. Philos Trans A Math Phys Eng Sci. 2009. PMID: 19087942
-
Genomes, genomes everywhere--but where to browse?Brief Bioinform. 2004 Dec;5(4):365-9. doi: 10.1093/bib/5.4.365. Brief Bioinform. 2004. PMID: 15606973 Review. No abstract available.
-
Biological knowledge management: the emerging role of the Semantic Web technologies.Brief Bioinform. 2009 Jul;10(4):392-407. doi: 10.1093/bib/bbp024. Epub 2009 May 19. Brief Bioinform. 2009. PMID: 19457869 Review.
Cited by
-
The European Bioinformatics Institute's data resources 2014.Nucleic Acids Res. 2014 Jan;42(Database issue):D18-25. doi: 10.1093/nar/gkt1206. Epub 2013 Nov 23. Nucleic Acids Res. 2014. PMID: 24271396 Free PMC article.
-
A case study in open source innovation: developing the Tidepool Platform for interoperability in type 1 diabetes management.J Am Med Inform Assoc. 2016 Mar;23(2):324-32. doi: 10.1093/jamia/ocv104. Epub 2015 Sep 2. J Am Med Inform Assoc. 2016. PMID: 26338218 Free PMC article.
-
Bigger data, collaborative tools and the future of predictive drug discovery.J Comput Aided Mol Des. 2014 Oct;28(10):997-1008. doi: 10.1007/s10822-014-9762-y. Epub 2014 Jun 19. J Comput Aided Mol Des. 2014. PMID: 24943138 Free PMC article.
-
Open source drug discovery - a limited tutorial.Parasitology. 2014 Jan;141(1):148-57. doi: 10.1017/S0031182013001121. Epub 2013 Aug 28. Parasitology. 2014. PMID: 23985301 Free PMC article. Review.
-
Machines first, humans second: on the importance of algorithmic interpretation of open chemistry data.J Cheminform. 2015 Mar 22;7:9. doi: 10.1186/s13321-015-0057-7. eCollection 2015. J Cheminform. 2015. PMID: 25798198 Free PMC article.
References
-
- Williams AJ, Tkachenko V, Lipinski C, Tropsha A, Ekins S (2009) Free online resources enabling crowdsourced drug discovery. Drug Discovery World 10, Winter 33–38.
-
- National Center for Biotechnology Information (n.d.) The PubChem database. Available: http://pubchem.ncbi.nlm.nih.gov/. Accessed August 2012.
-
- US National Library of Medicine (n.d.) ChemIDPlus Advanced. Available: http://chem.sis.nlm.nih.gov/chemidplus/. Accessed August 2012.
-
- Judson R, Richard A, Dix D, Houck K, Elloumi F, et al. (2008) ACToR–Aggregated Computational Toxicology Resource. Toxicol Appl Pharmacol 233: 7–13. - PubMed
-
- EMBL-EBI (n.d.) ChEMBL. Available: http://www.ebi.ac.uk/chembldb/index.php. Accessed August 2012.
MeSH terms
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous