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Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models

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  • Antony J Williams
  • John Wilbanks
  • Sean Ekins

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.

Suggested Citation

  • Antony J Williams & John Wilbanks & Sean Ekins, 2012. "Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models," PLOS Computational Biology, Public Library of Science, vol. 8(9), pages 1-3, September.
    • Handle: RePEc:plo:pcbi00:1002706
    DOI: 10.1371/journal.pcbi.1002706
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    References listed on IDEAS

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    1. Janna Hastings & Leonid Chepelev & Egon Willighagen & Nico Adams & Christoph Steinbeck & Michel Dumontier, 2011. "The Chemical Information Ontology: Provenance and Disambiguation for Chemical Data on the Biological Semantic Web," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-13, October.
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