

Responsible use of research and innovation metrics
Understand the responsible use of research and innovation metrics, the University鈥檚 commitment to DORA, and the actions we are taking to support this.
Defining the responsible use of metrics
The term 鈥渞esearch and innovation metrics鈥 refers to the quantitative indicators which can be used to evidence research activity, quality and characteristics.
There is a wealth of data on research and innovation outputs and impact which can evidence the quality of research and innovation activity. Such metrics encompass publication data (bibliometrics such as citation data and journal impact factors), indicators of social and economic impact (such as those incorporated into the knowledge exchange framework), indicators supporting contributions to the research culture and environment (such as supervision, collaboration, and open research practices) and related measures such as funding income, and measures of esteem (such as honours, awards, and invitations to present).
The 鈥榬esponsible use of metrics鈥 is defined as 鈥渇raming appropriate uses of quantitative indicators in the governance, management and assessment of research" (The Metric Tide, 2005), with the Universities UK Forum for the Responsible Use of Metrics defining responsible use by five key principles:
- Robustness: Base metrics on the best possible data in terms of accuracy and scope
- Humility: Recognise that quantitative evaluation should support, but not supplant, qualitative, expert assessment
- Transparency: That those being evaluated can test and verify the results
- Diversity: Account for variation by research field, and use a range of indicators to reflect and support a plurality of research and researcher career paths across the system
- Reflexivity: Recognise and anticipate the systemic and potential effects of indicators, and updating them in response.
Research funders, government, institutions, and researchers all place importance on the responsible use of metrics.
Resources: Sector statements
- (DORA)
- 奥别濒濒肠辞尘别鈥檚
- (鲍碍搁狈)鈥檚
- (Principle 10)
- UKRI鈥檚 Research England
- European University Association (EUA), Science Europe, and the European Commission
- (white paper)
- World Conferences on Research Integrity .