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Research quality and diversity of funding: A model for relating research money to output of research

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  • Ulf Sandström

    () (Linköping University)

Abstract

We analyze the relation between funding and output using bibliometric methods with field normalized data. Our approach is to connect individual researcher data on funding from Swedish university databases to data on incoming grants using the specific personal ID-number. Data on funding include the person responsible for the grant. All types of research income are considered in the analysis yielding a project database with a high level of precision. Results show that productivity can be explained by background variables, but that quality of research is more or less un-related to background variables.

Suggested Citation

  • Ulf Sandström, 2009. "Research quality and diversity of funding: A model for relating research money to output of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(2), pages 341-349, May.
  • Handle: RePEc:spr:scient:v:79:y:2009:i:2:d:10.1007_s11192-009-0422-2
    DOI: 10.1007/s11192-009-0422-2
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    References listed on IDEAS

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    1. Dundar, Halil & Lewis, Darrell R., 1995. "Departmental productivity in American universities: Economies of scale and scope," Economics of Education Review, Elsevier, vol. 14(2), pages 119-144, June.
    2. Dietz, James S. & Bozeman, Barry, 2005. "Academic careers, patents, and productivity: industry experience as scientific and technical human capital," Research Policy, Elsevier, vol. 34(3), pages 349-367, April.
    3. James S. Dietz & Ivan Chompalov & Barry Bozeman & Eliesh O'Neil Lane & Jongwon Park, 2000. "Using the Curriculum Vita to Study the Career Paths of Scientists and Engineers: An Exploratory Assessment," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(3), pages 419-442, November.
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    Cited by:

    1. Xianwen Wang & Di Liu & Kun Ding & Xinran Wang, 2012. "Science funding and research output: a study on 10 countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(2), pages 591-599, May.
    2. Jue Wang & Philip Shapira, 2015. "Is There a Relationship between Research Sponsorship and Publication Impact? An Analysis of Funding Acknowledgments in Nanotechnology Papers," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-19, February.
    3. David G Pina & Lana Barać & Ivan Buljan & Francisco Grimaldo & Ana Marušić, 2019. "Effects of seniority, gender and geography on the bibliometric output and collaboration networks of European Research Council (ERC) grant recipients," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-16, February.
    4. Jue Wang & Philip Shapira, 2011. "Funding acknowledgement analysis: an enhanced tool to investigate research sponsorship impacts: the case of nanotechnology," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 563-586, June.
    5. John Rigby, 2013. "Looking for the impact of peer review: does count of funding acknowledgements really predict research impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(1), pages 57-73, January.

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