title: Scientific approaches to science policy.
abstract: The development of robust science policy depends on use of the best available data, rigorous analysis, and inclusion of a wide range of input. While director of the National Institute of General Medical Sciences (NIGMS), I took advantage of available data and emerging tools to analyze training time distribution by new NIGMS grantees, the distribution of the number of publications as a function of total annual National Institutes of Health support per investigator, and the predictive value of peer-review scores on subsequent scientific productivity. Rigorous data analysis should be used to develop new reforms and initiatives that will help build a more sustainable American biomedical research enterprise.
authors.affiliation: Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213.
authors.forename: Jeremy M
authors.initials: JM
authors.lastname: Berg
mesh_terms: D035843:Biomedical Research / Q000592:standards* / Q000706:statistics & numerical data; D002322:Career Mobility; D006801:Humans; D009316:National Institutes of Health (U.S.); D011642:Publications / Q000592:standards / Q000706:statistics & numerical data; D012109:Research Support as Topic / Q000592:standards / Q000706:statistics & numerical data; D012586:Science / Q000592:standards* / Q000706:statistics & numerical data; D014481:United States