AbstractCompared to vendor-provided data, Transaction Log Analysis (TLA) can provide unique benefits to a library in analyzing database usage. Meanwhile, it also requires librarians to have a broad knowledge of Information Technology in order to implement a TLA. This article will present an in-house database system developed at the University of Manitoba Libraries to analyze EZProxy’s Starting Point Uniform Resource Locator logs. The database visits that happened in the past two years have been imported into this system and are split into two categories, on-campus and off-campus visits. Unique statistical information from each category is also discussed.
Baker, G., & Read, E. J. (2008). Vendor‐supplied usage data for electronic resources: a survey of academic libraries. Learned Publishing, 21(1), 48–57. https://doi.org/10.1087/095315108X247276
Blecic, D., Fiscella, J., & Wiberley, S. (2001). The measurement of use of Web-based information resources: An early look at vendor-supplied data. College & Research Libraries, 62(5), 434–453. https://doi.org/10.5860/crl.62.5.434
Blecic, D., Fiscella, J., & Wiberley, S. (2007). Measurement of Use of Electronic Resources: Advances in Use Statistics and Innovations in Resource Functionality. College & Research Libraries, 68(1), 26–44. https://doi.org/10.5860/crl.68.1.26
Coombs, K. A. (2005). Lessons learned from analyzing library database usage data. Library Hi Tech, 23(4), 598–609. https://doi.org/10.1108/07378830510636373
COUNTER. (2019). What is COUNTER? Retrieved July 25, 2019, from https://www.projectcounter.org/about/
Duy, J., & Vaughan, L. (2003). Usage data for electronic resources: A comparison between locally collected and vendor-provided statistics. Journal of Academic Librarianship, 29(1), 16–22. https://doi.org/10.1016/S0099-1333(02)00400-7
Gonzales, B. M. (2018). Analyzing EZproxy SPU Logs Using Python Data Analysis Tools. Code4Lib Journal, (42).
Liu, G., & Fu, P. (2018). Shared Next Generation ILSs and Academic Library Consortia: Trends, Opportunities and Challenges. International Journal of Librarianship (IJoL), 3(2), 53–71. https://doi.org/10.23974/ijol.2018.vol3.2.94
NISO. (2019). SUSHI History/Origins. Retrieved July 25, 2019, from https://www.niso.org/standards-committees/sushi/historyorigins
OCLC. (2018a). LogSPU. Retrieved from https://help.oclc.org/Library_Management/EZproxy/Configure_resources/LogSPU
OCLC. (2018b). Starting point URLs and config.txt.
OCLC. (2019). Log files overview. Retrieved July 24, 2019, from https://help.oclc.org/Library_Management/EZproxy/Manage_EZproxy/Log_files_overview
OED, O. (2019). database, n. Retrieved from www.oed.com/view/Entry/47411
Peters, T. A. (1993). The history and development of transaction log analysis. Library Hi Tech, 11(2), 41–66. https://doi.org/10.1108/eb047884
Shibboleth. (2019). Shibboleth. Retrieved July 25, 2019, from https://www.shibboleth.net
Wan, G., & Liu, Z. (2010). Knowing your users: The value of article database usage analysis. Learned Publishing, 23(3), 225–236. https://doi.org/10.1087/20100305
This work is licensed under a Creative Commons Attribution 4.0 International License.