The GSS is an unreliable indicator of biological sciences postdoc population trends

Author:

Pickett Christopher L.,Bankston Adriana,McDowell Gary S.

Abstract

AbstractThe postdoctoral research position is an essential step on the academic career track, and the biomedical research enterprise has become heavily dependent on postdoctoral scholars to conduct experimental research. Monitoring postdoc population trends is important for crafting and evaluating policies that affect this critical population. The tool most use for understanding the trends of the biological sciences postdoc population is the Survey of Graduate Students and Postdoctorates in Science and Engineering (GSS) administered by the National Center for Science and Engineering Statistics. To determine how well institutions tracked their postdocs, we analyzed the yearly changes in the biological sciences postdoc population at institutions surveyed by the GSS from 1980 to 2015. We find examples of large changes in the biological sciences postdoc population at one or a few institutions most years from 1980 to 2015. Most universities could not explain the data presented in the GSS, and for those that provided an explanation, the most common causes were improved institutional policies and more robust tracking of their postdocs. These large changes, unrelated to hiring or layoffs, sometimes masked population trends in the broader biological sciences postdoc population. We propose the adoption of a unified definition and titles for postdocs and the creation of an index to better assess biological sciences postdoc population trends.AbbreviationsNSFNational Science FoundationNCSESNational Center for Science and Engineering StatisticsGSSSurvey of Graduate Students and Postdoctorates in Science and Engineering

Publisher

Cold Spring Harbor Laboratory

Reference29 articles.

1. Alberts, B. , Kirschner, M. W. , Tilghman, S. , Varmus, H. (2014). Rescuing US biomedical research from its systemic flaws. Proc Natl Acad Sci USA.

2. Arbeit, C. A. , Einaudi, P. , Green, P. , & Kang, K. H. (2016). Assessing the Impact of Frame Changes on Trend Data from the Survey of Graduate Students and Postdoctorates in Science and Engineering. (No. Special Report NSF 16-314). Arlington, VA: National Science Foundation, National Center for Science and Engineering Statistics. Retrieved from http://ttp://www.nsf.gov/statistics/gradpostdoc/

3. The Postdoctoral Experience Revisited

4. Invisible University: Postdoctoral Education in the United States. Report of a Study Conducted Under the Auspices of the National Research Council. [Richard B. Curtis, Study Director]

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3