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Prioritising and incentivising productivity within indicator-based approaches to Research Impact Assessment: a
Simon Deeming1,2, Alexis Hure3,4, John Attia3,4,5
1Hunter Medical Research Institute, Kookaburra Circuit, New Lambton Heights, Newcastle, NSW, Australia. Simon.Deeming@hmri.org.au.
Health Research Policy and Systems
|December 19, 2023
Summary
Research Impact Assessment (RIA) can be optimized by focusing on the process, not just metrics. Engaging researchers early in health and medical research funding improves impact generation.
Area of Science:
- Health and Medical Research
- Policy Analysis
- Research Management
Background:
- Indicator-based Research Impact Assessment (RIA) is widely used but faces criticism for being problematic and burdensome.
- Existing RIA approaches often focus on metrics rather than the research process itself.
Purpose of the Study:
- To demonstrate how the process of applying an indicator-based RIA framework can optimize gains from health and medical research (HMR) investment.
- To propose a framework for RIA that focuses on optimizing research impact.
Main Methods:
- The commentary proposes a revised approach to RIA based on prior research indicating process and incentives are key.
- It outlines specific characteristics for an indicator-based RIA framework designed for impact optimization.
Main Results:
- Issues with RIA stem more from incentivized discussions and activities than from the choice of indicators.
- A revised RIA framework can purposefully optimize research impact by focusing on the research process and early researcher engagement.
Conclusions:
- Optimizing HMR investment impact is the core goal of RIA policy.
- Integrating RIA into the research project funding process, engaging researchers early, can improve the probability of generating interim and ultimate impacts.
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