Research impact: neither quick nor easy

Clicks: 150
ID: 260733
2015
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Greenhalgh and Fahy’s paper about the 2014 Research Excellence Framework provides insights into the challenges of assessing research impact. Future research assessment exercises should consider how best to include measurement of indirect and non-linear impact and whether efforts in knowledge transfer and co-production should be explicitly recognised. Greenhalgh and Fahy’s findings also demonstrate that the structure of the assessment exercise can privilege certain kinds of research and may therefore miss some research that has a high impact on policy and practice. There are a growing number of courses, tools, and funding models to assist researchers in making an impact, although as yet there is little evidence about whether these approaches work in practice. Please see related article: http://www.biomedcentral.com/1741-7015/13/232 .
Reference Key
redman2015bmcresearch Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Sally Redman;Abby Haynes;Anna Williamson;Sally Redman;Abby Haynes;Anna Williamson;
Journal bmc medicine
Year 2015
DOI doi:10.1186/s12916-015-0501-6
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.