Research Collaboration between Stockholm University and other Swedish Academic Institutions: A Bibliometric Study to Support Decisions on Library Collaboration

  • Per Ahlgren University Library, Stockholm University, SE-106 91 Stockholm, Sweden
  • Johan Hinders University Library, Stockholm University, SE-106 91 Stockholm, Sweden
  • Camilla Lindelöw University Library, Stockholm University, SE-106 91 Stockholm, Sweden
  • Sara Parmhed University Library, Stockholm University, SE-106 91 Stockholm, Sweden
  • Per Swedberg University Library, Stockholm University, SE-106 91 Stockholm, Sweden

Abstract

Academic libraries collaborate in several ways. For instance, collaboration can concern standards for indexing and statistics, technical solutions or collection development. A question that a given academic library might ask is with which other academic libraries the library should principally collaborate. In this study, we show how bibliometric methods can be used to generate information that can support decision making with regard to the question at stake. We evaluate the amount of research collaboration between Stockholm University and other Swedish academic institutions across five publishing years, and for the whole considered time period, where research collaboration is operationalized as co-publishing. A dataset of publications obtained from Web of Science, where each publication has at least one Stockholm University address, is used in the study. Co-publishing rates, non-fractionalized and fractionalized, across the publishing years and for the whole for period, for Stockholm University and other Swedish academic institutions, are reported. Further, parts of the outcome of the study are visualized in terms of co-publishing networks. 

Published
2017-07-02
How to Cite
AHLGREN, Per et al. Research Collaboration between Stockholm University and other Swedish Academic Institutions: A Bibliometric Study to Support Decisions on Library Collaboration. Qualitative and Quantitative Methods in Libraries, [S.l.], p. 49-60, july 2017. ISSN 2241-1925. Available at: <http://qqml-journal.net/index.php/qqml/article/view/362>. Date accessed: 21 jan. 2020.