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. 2012;8(9):e1002706.
doi: 10.1371/journal.pcbi.1002706. Epub 2012 Sep 27.

Why open drug discovery needs four simple rules for licensing data and models

Affiliations

Why open drug discovery needs four simple rules for licensing data and models

Antony J Williams et al. PLoS Comput Biol. 2012.

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.

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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.

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