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The field factor: towards a metric for academic institutions

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  • Ulf Sandström
  • Erik Sandström

Abstract

We present a new model for performance-related funding of universities in Sweden. The model is based on number of papers in international scientific journals, but relies on an estimation of field adjusted production per scientific/technological area. Author counts are based on potential authors using the Waring distribution for 34 areas of science (Schubert and Braun, 1992). We apply this model to the Swedish university system and illustrate with the reallocations that would follow from a complete implementation. Next, we test the accuracy of the method using publication data from six Swedish universities and four Norwegian universities. In conclusion we discuss advantages and drawbacks with the method. Copyright , Beech Tree Publishing.

Suggested Citation

  • Ulf Sandström & Erik Sandström, 2009. "The field factor: towards a metric for academic institutions," Research Evaluation, Oxford University Press, vol. 18(3), pages 243-250, September.
  • Handle: RePEc:oup:rseval:v:18:y:2009:i:3:p:243-250
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    File URL: http://hdl.handle.net/10.3152/095820209X466892
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    Cited by:

    1. Elleby, Anita & Ingwersen, Peter, 2010. "Publication point indicators: A comparative case study of two publication point systems and citation impact in an interdisciplinary context," Journal of Informetrics, Elsevier, vol. 4(4), pages 512-523.
    2. van den Besselaar, Peter & Sandström, Ulf, 2015. "Early career grants, performance, and careers: A study on predictive validity of grant decisions," Journal of Informetrics, Elsevier, vol. 9(4), pages 826-838.
    3. Per Ahlgren & Cristian Colliander & Olle Persson, 2012. "Field normalized citation rates, field normalized journal impact and Norwegian weights for allocation of university research funds," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(3), pages 767-780, September.
    4. Peter van den Besselaar & Ulf Sandström, 2016. "Gender differences in research performance and its impact on careers: a longitudinal case study," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 143-162, January.
    5. Koski, Timo & Sandström, Erik & Sandström, Ulf, 2016. "Towards field-adjusted production: Estimating research productivity from a zero-truncated distribution," Journal of Informetrics, Elsevier, vol. 10(4), pages 1143-1152.

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