Department of Cellular and Molecular Physiology, Yale School of Medicine, New Haven, CT 06520, USA.
Sci Transl Med. 2010 Oct 13;2(53):53ps49. doi: 10.1126/scitranslmed.3001580.
Statistical assessments of performance are common in industry and for individual scientists, but the use of such measures to assess productivity in scientific organizations has lagged behind. The need for defined performance measures has grown as team science has begun to play a larger role in biomedical research, such as in the area of translational medicine. We used a metric, node degree over time, to measure the change in the rate of collaboration over the past five years within an organization, the University of Pennsylvania's Institute for Translational Medicine and Therapeutics (ITMAT). The number of collaborative papers and grants roughly doubled over the past five years among investigators within but not outside of ITMAT. Also, collaborations within institutions and departments were more frequent than those between them--an actionable area of improvement.
在工业界和个人科学家领域,对绩效进行统计评估是很常见的,但在科学组织中,使用这些措施来评估生产力的做法却落后了。随着团队科学在生物医学研究中(如转化医学领域)开始发挥更大的作用,对明确的绩效衡量标准的需求也在增长。我们使用了一个指标,即随着时间的推移节点度,来衡量过去五年内宾夕法尼亚大学转化医学与治疗学研究所(ITMAT)内的合作率的变化。在过去的五年中,ITMAT 内部的研究人员的合作论文和资助数量大约翻了一番,但 ITMAT 之外的人员则没有。此外,机构内部和部门内部的合作比机构之间的合作更为频繁,这是一个可以改进的领域。