Legal Confusion Threatens to Slow Data Science

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Legal Confusion Threatens to Slow Data Science

By Nature
August 5, 2016
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Daniel Himmelstein, UCSF — Daniel Himmelstein, pictured at his previous research post at the University of California, San Francisco.

Credit: Steve Babuljak

Knowledge from millions of biological studies encoded into one network—that is Daniel Himmelstein's alluring description of Hetionet, a free online resource that melds data from 28 public sources on links between drugs, genes and diseases. But for a product built on public information, obtaining legal permissions has been surprisingly tough.

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