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Collaborationuncovered: Exploring the adequacy of measuring university-industrycollaboration through co-authorship and funding
Authors:Jonas Lundberg  Göran Tomson  Inger Lundkvist  John Sk?r  Mats Brommels
Affiliation:17001. Medical Management Centre, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet; Karolinska Institutet Strategy and Development Office, Karolinska Institutet, Stockholm (Sweden); Nobels v?g 15A, 171 77 Stockholm, Sweden
17002. Medical Management Centre, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet; Division of International Health (IHCAR), Department of Public Health Sciences, Karolinska Institutet, Stockholm (Sweden); Stockholm (Sweden)
17003. Karolinska Institutet Strategy and Development Office, Karolinska Institutet, Stockholm (Sweden)
17004. Karolinska Institutet Strategy and Development Office, Karolinska Institutet, Stockholm (Sweden)
17005. Medical Management Centre, Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet; Department of Public Health, University of Helsinki, Stockholm (Sweden); Helsinki (Finland)
Abstract:Summary Analysing co-authored publications has become the standard way to measure research collaborations. At the same time bibliometric researchers have advised that co-authorship based indicators should be handled with care as a source of evidence on actual scientific collaboration. The aim of this study is to assess how well university-industry collaborations can be identified and described using co-authorship data. This is done through a comparison of co-authorship data with industrial funding to a medical university. In total 436 companies were identified through the two methods. Our results show that one third of the companies that have provided funding to the university had not co-authored any publications with the university. Further, the funding indicator identified only 16% of the companies that had co-authored publications. Thus, both co-authorship and funding indicators provide incomplete results. We also observe a case of conflicting trends between funding and co-authorship indicators. We conclude that uncritical use of the two indicators may lead to misinterpretation of the development of collaborations and thus provide incorrect data for decision-making.
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