Paul Basken
December 20, 2016
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Patrick J. Curran struggles with the problem when studying alcoholism in families. Quynh C. Nguyen sees it when analyzing housing-voucher programs. And the Nobel laureate Harold E. Varmus encounters it while developing genomic databases for cancer patients.
Their trouble isn’t with sharing their data — all three professors are eager participants in the open-data revolution.
Instead, the problem is confidently sharing and interpreting data — huge amounts of it — with relevance and accuracy.
Their trouble isn’t with sharing their data — all three professors are eager participants in the open-data revolution.
Instead, the problem is confidently sharing and interpreting data — huge amounts of it — with relevance and accuracy.
