Katherine Chew
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Browsing Katherine Chew by Author "Schoenborn, Mary"
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Item E-Journal Metrics: Exploring Disciplinary Differences(NISO, 2015-04) Chew, Katherine; Schoenborn, MaryCollection librarians have an ongoing need to align acquisition and retention decisions about library resources in order to provide the best possible outcomes for their users and accountability to administrators. In previous collection management research, we developed a decision-making blueprint by incorporating the relationships between the journals that our users downloaded and the journals that our faculty cited in their articles. In this presentation, we take the next step by exploring the extent to which disciplinary differences exist in the relationships between the downloading of our subscribed journals and a) faculty decisions to author articles in these journals and b) the choices their external peers make as to whether or not to cite our faculty’s articles in these journals. Does the strength of the relationships vary by discipline? Do the social sciences / humanities differ from the physical or health sciences? Are there differences between similar disciplines such as the physical and health sciences, or within disciplines, such as nursing to medicine, or are they alike enough for one formula to suffice? Together, these metrics will help fine tune our sense, at a disciplinary level, of the value that our users assign to our collection through their decisions about which journal articles to download, read, and cite.Item User-defined valued metrics for electronic journals(2013-02-18) Chew, Katherine; Stemper, James; Lilyard, Caroline; Schoenborn, MaryPurpose: Building on the work done by the California Digital Library (CDL), the University of Minnesota Libraries is developing a set of user-defined value-based electronic journal usage metrics. User value is assessed in three overall categories: (1) utility or reading value, (2) quality or citing value, and (3) cost effectiveness. In addition to analyzing vendor-generated usage metrics, also included were Affinity String data, derived from the University of Minnesota’s central authentication system that anonymously captures a user’s academic department and degree program or position at the university and combined with vendor-generated usage data, provides a granular picture of journal use down to the title level. Collection management librarians and library users can benefit from a viable, more accurate metric for use and value of library resources than cost-per-download, which would ensure that the most needed/valued resources are available to further research and learning. Methodology: Metrics were identified that are utilized to determine e-journal retainability: OpenURL link resolver requests for article views, COUNTER-compliant downloads, JCR Impact Factors, Eigenfactor Scores, local citations from Thomson Reuters Local Journal Use Reports and Affinity String requests for article views. Two years of usage data were assessed using Pearson correlation coefficients to compare the different metrics. Affinity String data is correlated with the results to determine any discipline or degree level differences. A composite score is assigned to each journal to assess its overall value in comparison to other journals within the same broad subject category. Findings: This project found SFX clickthroughs a more consistent predictor than COUNTER downloads of the journals our faculty will cite in their articles, with Eigenfactor a more consistent predictor of citation behavior than Impact Factor.