« A group of research funders, sector bodies and infrastructure experts are working in partnership to promote the responsible use of research metrics.
(…) Responsible metrics can be understood in terms of the following dimensions:
- Robustness – basing metrics on the best possible data in terms of accuracy and scope
- Humility – recognising that quantitative evaluation should support, but not supplant, qualitative, expert assessment
- Transparency – keeping data collection and analytical processes open and transparent, so that those being evaluated can test and verify the results
- Diversity – accounting for variation by field, and using a range of indicators to reflect and support a plurality of research and researcher career paths across the system
- Reflexivity – recognising and anticipating the systemic and potential effects of indicators, and updating them in response. (…) »