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Why Open Drug Discovery Needs Four Simple Rules for Licensing Data and Models
Author(s) -
Antony Williams,
John Wilbanks,
Sean Ekins
Publication year - 2012
Publication title -
plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1002706
Subject(s) - data science , construct (python library) , computer science , usability , open data , simple (philosophy) , the internet , drug discovery , data discovery , point (geometry) , world wide web , bioinformatics , metadata , biology , philosophy , mathematics , epistemology , human–computer interaction , programming language , geometry
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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