• Can Enhanced Library Analytics Improve the Understanding of User Behaviours at City, University of London?

    Author(s):
    Christine Goodson (see profile)
    Date:
    2018
    Group(s):
    CityLIS, Library & Information Science
    Subject(s):
    Academic libraries, Analytics, Library and information science, Library science
    Item Type:
    Dissertation
    Institution:
    City, University of London
    Tag(s):
    Library assessment
    Permanent URL:
    http://dx.doi.org/10.17613/em92-7p22
    Abstract:
    Data that is automatically generated by users in an academic library as they engage with various library resources is often held in disparate systems. This prevents library staff from knowing how an individual uses these resources in combination and therefore opportunities to provide more targeted support or information may be missed. This case study examining the linking of quantitative data sets held at the libraries of City, University of London uses data held in the following systems: the library management system, Sierra, for patron details and item borrowing; OpenAthens logins and WAM connections (web access management) for e-resource use; and LibApps for space bookings for study rooms, silent study spaces and specialist databases. The study is limited to students at the university and excludes staff, visitors and alumni. Successful linking of the data sets allowed information to be combined and visualized to explore if low item borrowing correlates to high e-resource use, which was not found to be the case generally. Results also support previous studies’ findings regarding low use of library resources across computing and engineering undergraduates. The combined data has the capacity to provide in-depth understanding of what, how and when resources are utilized by students and provide a more targeted path for further qualitative investigations to answer questions of why.
    Metadata:
    Status:
    Published
    Last Updated:
    5 days ago
    License:
    Attribution-NonCommercial-NoDerivatives
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