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

Overview of attention for article published in PLoS Computational Biology, September 2012
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Title
Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models
Published in
PLoS Computational Biology, September 2012
DOI 10.1371/journal.pcbi.1002706
Pubmed ID
Authors

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 11%
Germany 4 6%
Brazil 2 3%
Colombia 1 1%
United Kingdom 1 1%
Czechia 1 1%
Unknown 54 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 27%
Other 8 11%
Student > Ph. D. Student 8 11%
Student > Master 8 11%
Professor > Associate Professor 7 10%
Other 16 23%
Unknown 5 7%
Readers by discipline Count As %
Computer Science 16 23%
Agricultural and Biological Sciences 14 20%
Chemistry 8 11%
Medicine and Dentistry 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Other 14 20%
Unknown 7 10%