Whelan Brendan, Moros Eduardo G, Fahrig Rebecca, Deye James, Yi Thomas, Woodward Michael, Keall Paul, Siewerdsen Jeff H
Radiation Physics Laboratory, University of Sydney, Sydney, NSW, 2006, Australia.
Ingham Institute for Applied Medical Research, Liverpool, NSW, 2170, Australia.
Med Phys. 2017 Apr;44(4):1590-1601. doi: 10.1002/mp.12098.
To produce and maintain a database of National Institutes of Health (NIH) funding of the American Association of Physicists in Medicine (AAPM) members, to perform a top-level analysis of these data, and to make these data (hereafter referred to as the AAPM research database) available for the use of the AAPM and its members.
NIH-funded research dating back to 1985 is available for public download through the NIH exporter website, and AAPM membership information dating back to 2002 was supplied by the AAPM. To link these two sources of data, a data mining algorithm was developed in Matlab. The false-positive rate was manually estimated based on a random sample of 100 records, and the false-negative rate was assessed by comparing against 99 member-supplied PI_ID numbers. The AAPM research database was queried to produce an analysis of trends and demographics in research funding dating from 2002 to 2015.
A total of 566 PI_ID numbers were matched to AAPM members. False-positive and -negative rates were respectively 4% (95% CI: 1-10%, N = 100) and 10% (95% CI: 5-18%, N = 99). Based on analysis of the AAPM research database, in 2015 the NIH awarded $USD 110M to members of the AAPM. The four NIH institutes which historically awarded the most funding to AAPM members were the National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, National Heart Lung and Blood Institute, and National Institute of Neurological Disorders and Stroke. In 2015, over 85% of the total NIH research funding awarded to AAPM members was via these institutes, representing 1.1% of their combined budget. In the same year, 2.0% of AAPM members received NIH funding for a total of $116M, which is lower than the historic mean of $120M (in 2015 USD).
A database of NIH-funded research awarded to AAPM members has been developed and tested using a data mining approach, and a top-level analysis of funding trends has been performed. Current funding of AAPM members is lower than the historic mean. The database will be maintained by members of the Working group for the development of a research database (WGDRD) on an annual basis, and is available to the AAPM, its committees, working groups, and members for download through the AAPM electronic content website. A wide range of questions regarding financial and demographic funding trends can be addressed by these data. This report has been approved for publication by the AAPM Science Council.
创建并维护一个关于美国国立卫生研究院（NIH）对医学物理学会（AAPM）成员资助情况的数据库，对这些数据进行顶层分析，并使这些数据（以下简称AAPM研究数据库）可供AAPM及其成员使用。
可通过NIH导出器网站公开下载追溯至1985年的NIH资助研究项目，AAPM提供了追溯至2002年的成员信息。为了将这两个数据源关联起来，在Matlab中开发了一种数据挖掘算法。基于100条记录的随机样本手动估计假阳性率，并通过与99个成员提供的PI_ID编号进行比较来评估假阴性率。查询AAPM研究数据库以分析2002年至2015年研究资助的趋势和人口统计学情况。
总共566个PI_ID编号与AAPM成员匹配。假阳性率和假阴性率分别为4%（95%置信区间：1 - 10%，N = 100）和10%（95%置信区间：5 - 18%，N = 99）。基于对AAPM研究数据库的分析，2015年NIH向AAPM成员授予了1.1亿美元。历史上向AAPM成员授予资金最多的四个NIH研究所分别是国立癌症研究所、国立生物医学成像和生物工程研究所、国立心肺血液研究所和国立神经疾病与中风研究所。2015年，授予AAPM成员的NIH研究资金总额中超过85%是通过这些研究所提供的，占其合并预算的1.1%。同年，2.0%的AAPM成员获得了NIH资助，总额为1.16亿美元，低于历史平均水平1.2亿美元（按2015年美元计算）。
已使用数据挖掘方法开发并测试了一个关于授予AAPM成员的NIH资助研究的数据库，并对资助趋势进行了顶层分析。目前AAPM成员获得的资助低于历史平均水平。该数据库将由研究数据库开发工作组（WGDRD）的成员每年维护，AAPM及其委员会、工作组和成员可通过AAPM电子内容网站下载。这些数据可以解决有关财务和人口统计学资助趋势的广泛问题。本报告已获AAPM科学委员会批准发表。
