Research analytics can be defined as any indicator of research activity or performance; commonly used data sources include HESA, University research management systems, REF2014, and bibliometric databases and performance assessment tools. The true power of research analytics is realised when data is brought together from multiple sources to answer important questions around research activity and performance. Improvements in data accessibility through continued democratisation of metrics, together with increased decentralisation of research management within universities, provides an opportunity to develop evidence based strategy bespoke to Schools and Institutes. Two research management professionals reflect on the use of research analytics to inform decision making in Schools and Institutes and identify opportunities for novel future use cases. Also considered are barriers to implementation and issues around the responsible use of metrics. Case studies will draw on a range of initiatives including: shaping research strategy, REF2021 scenario modelling, evidencing track record in grant applications, and supporting project performance reviews.
Key Learning Points:
Focusing specifically on the research landscape within Schools and Institutes, the following learning outcomes are expected:
- Identify opportunities to inform decision making using research analytics
- Manage risk associated with implementation and use of research analytics
- Recognise novel future use cases
|Theme:||Information Management and Related Functions|
|Level:||Operational / Administration|
|Date:||6th Jun 2017|
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