Department of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213.
Mol Biol Cell. 2013 Nov;24(21):3273-4. doi: 10.1091/mbc.E13-07-0400.
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.
稳健的科学政策的发展取决于利用最佳可用数据、进行严格分析并纳入广泛的投入。在担任国立卫生研究院（NIGMS）下属国立普通医学科学研究所所长期间，我利用现有数据和新兴工具，分析了新的 NIGMS 受赠者的培训时间分布、出版物数量与每位研究人员每年获得的国立卫生研究院资助总额的关系，以及同行评议分数对后续科研产出的预测价值。应利用严格的数据分析来制定新的改革和倡议，以帮助建立更可持续的美国生物医学研究企业。
