Knowledge Exchange Framework (KEF)

 

Summary

The KEF aims to allow universities to better understand and improve their own performance in knowledge exchange, as well as provide businesses and other users with more information to help them access the world-class knowledge and expertise within English providers of higher education.

It sits alongside the Teaching Excellence Framework (TEF) and the Research Excellence Framework (REF) to help provide a complete assessment of the work conducted by universities.

KEF is not currently used to make decisions about how much funding universities receive. However, a review of the HEIF funding methodology is underway with an aim to put KEF at the heart of a new funding mechanism. This would allow Research England to demonstrate to the government effectiveness in the use of public funding for KE activity.

 

Results

The first KEF results were published on 31 March 2021. They cover knowledge exchange activity recorded between August 2016 and July 2019.

Royal Holloway is in the top 30% of English Universities for:

And top 40% for:

 

Note we did not make a narrative submission for the Local growth and regeneration and Public and community engagement and it is reflected in our rankings for these metrics.

You can view detailed results for all institutions on the Knowledge Exchange Framework website.

 

About KEF

The KEF dashboard compares institutions on a like-for-like basis, with similar institutions being

grouped together with their peers in ‘KEF clusters’ based on factors such as size, specialisation and

the intensity of research activities

 

Royal Holloway has been included in Cluster X which benchmarks our activity against similar

institutions characterised as being large, high research intensive and broad-discipline universities

undertaking a significant amount of excellent research, with a discipline portfolio balance (although

less clinical medicine activity) and a large proportion of taught postgraduate students.

 

KEF looks at the seven areas of activities below and displays your relative strength in each of these areas compared against the average for your cluster.

  1. research partnerships
  2. working with business
  3. working with the public and third sector
  4. skills, enterprise and entrepreneurship
  5. local growth and regeneration
  6. intellectual property and commercialisation
  7. public and community engagement

 

Data sources for the areas of KEF activity

  1. Local growth and regeneration
    • Regeneration and development income from all sources, normalised by HEI income (based on HE-BCI data).
    • Additional narrative/contextual information supplied by the university.

       2. IP and commercialisation

    • Estimated current turnover of all active firms per active spinout (based on HE-BCI data).
    • Average external investment per spinout (based on HE-BCI data).
    • Licensing and other IP income, as a proportion of research income (based on HE-BCI data).

        3. Public and community engagement

    • Self-assessment by university.
    • Additional narrative/contextual information supplied by the university 

        4. Research partnerships

       5. Working with business

    • Income from Innovate UK (for Knowledge Transfer Partnerships and as grants), as a proportion of research income. 
    • Income for contracted research from SME and non-SME businesses, normalised by HEI income (based on HE-BCI data).
    • Income for consultancy and use of facilities from SME and non-SME businesses, normalised by HEI income (based on HE-BCI data).

      6. Working with the public and the third sector

    • Income for contracted research from the public and third sector, normalised by HEI income (based on HE-BCI data).
    • Income for consultancy and use of facilities from the public and third sector, normalised by HEI income (based on HE-BCI data).

       7. Skills, enterprise and entrepreneurship

    • Income from continuing professional development (CPD) and continuing education (CE), normalised by HEI income (based on HE-BCI data).
    • Number of CPD/CE learner days delivered, normalised by HEI income (based on HE-BCI data).
    • Number of graduate startups created per number of full-time-equivalent students (based on HE-BCI data