Suppr超能文献

科研基金申请成功率、资助率和奖励规模方面的偏差会影响生物医学研究资金的地理分布。

Biases in grant proposal success rates, funding rates and award sizes affect the geographical distribution of funding for biomedical research.

作者信息

Wahls Wayne P

机构信息

Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences , Little Rock, AR , United States of America.

出版信息

PeerJ. 2016 Apr 11;4:e1917. doi: 10.7717/peerj.1917. eCollection 2016.

Abstract

The ability of the United States to most efficiently make breakthroughs on the biology, diagnosis and treatment of human diseases requires that physicians and scientists in each state have equal access to federal research grants and grant dollars. However, despite legislative and administrative efforts to ensure equal access, the majority of funding for biomedical research is concentrated in a minority of states. To gain insight into the causes of such disparity, funding metrics were examined for all NIH research project grants (RPGs) from 2004 to 2013. State-by-state differences in per application success rates, per investigator funding rates, and average award size each contributed significantly to vast disparities (greater than 100-fold range) in per capita RPG funding to individual states. To the extent tested, there was no significant association overall between scientific productivity and per capita funding, suggesting that the unbalanced allocation of funding is unrelated to the quality of scientists in each state. These findings reveal key sources of bias in, and new insight into the accuracy of, the funding process. They also support evidence-based recommendations for how the NIH could better utilize the scientific talent and capacity that is present throughout the United States.

摘要

美国要在人类疾病的生物学、诊断和治疗方面最有效地取得突破,就要求每个州的医生和科学家都能平等地获得联邦研究拨款和拨款资金。然而,尽管在立法和行政方面做出了确保平等获取的努力,但生物医学研究的大部分资金都集中在少数几个州。为了深入了解这种差异的原因,我们研究了2004年至2013年期间美国国立卫生研究院(NIH)所有研究项目拨款(RPG)的资助指标。每个州在每份申请成功率、每位研究人员资助率和平均奖励规模方面的差异,都对各州人均RPG资金的巨大差距(超过100倍)有显著影响。在测试范围内,科学产出与人均资金之间总体上没有显著关联,这表明资金分配不均衡与每个州科学家的质量无关。这些发现揭示了资助过程中偏差的关键来源,并为资助过程的准确性提供了新的见解。它们还支持基于证据的建议,即NIH如何能够更好地利用美国各地现有的科学人才和能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67c2/4830231/4cde6f8336ac/peerj-04-1917-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验