Is it possible to measure good science?

被引:1
|
作者
Holding, Andrew N. [1 ,5 ]
McIntyre, Kirsty R. [2 ,5 ]
Lynch, Paul T. [3 ,4 ,5 ]
机构
[1] Univ York, Dept Biol, York YO10 5DD, England
[2] Univ Glasgow, Coll Med Vet & Life Sci, Glasgow G12 8QQ, Scotland
[3] Univ Derby, Univ Res, Derby DE22 1GB, England
[4] Univ Derby, Knowledge Exchange Off, Derby DE22 1GB, England
[5] Heads Univ Biosci HUBS, Royal Soc Biol, Early Career Lecturersin Biosci Advisory Grp, 1 Naoroji St, London WC1X 0GB, England
关键词
COVID-19; early career; equity; funding; impact; metrics; science;
D O I
10.1111/febs.16674
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Metrics play a vital part in the valuation and funding of research for scientists worldwide. We review the challenges that metrics pose in providing a fair and equitable system for research funding. We highlight the attempts with declarations, including the San Francisco Declaration on Research Assessment (SF-DORA), to improve the research environment and specific impacts that metric choice can have on the evaluation and progression of Early Career Lecturers (ECLs). While there is much evidence that metrics will never be entirely satisfactory, we conclude there are opportunities that would benefit ECLs and reason for optimism for researchers.
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页码:2022 / 2028
页数:7
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