Authors:Kara Reuter Abstract: For many patrons, libraries are synonymous with books and reading. However, people don’t always take advantage of reader’s advisory services offered by libraries. Rather than approaching librarians for suggestions of what to read, most people instead turn to their personal networks or express a preference for more passive approaches to recommendations. As a halfway point between in-person reader’s advisory interactions and algorithmic recommendations, Worthington Libraries staff leveraged the NoveList and Polaris APIs to create custom book recommendation kiosks. Recommendation Stations, as we call them, allow people to scan a book barcode, browse read-alikes, check local availability and print shelf locations, all in the guise of an interactive fortune teller. PubDate: 2024-06-17 DOI: 10.5860/ital.v43i2.17133 Issue No:Vol. 43, No. 2 (2024)
Authors:Monica Maceli Abstract: The popularity and relevance of the library makerspace has been well-established and documented in the previous decade of researcher and practitioner work, including numerous hands-on guides from a variety of dimensions relevant to starting and operating a makerspace. Less studied, however, and the focus of this work are the applications of maker technologies within wider library work. Prior qualitative research conducted by the author included interviews with librarians to understand and document their use of maker technologies, such as the Raspberry Pi single-board computer, to support broader library work outside of the makerspace. The findings indicated that common use cases included running library display screens and collecting patron traffic numbers and environmental data. The objective of this subsequent case study is to examine the potential for wider use of such projects by librarians in an academic library setting, by introducing these projects into a new library setting and assessing the related code and educational materials developed by the researcher. This work reports on the findings of the case study, in which the projects were successfully operated in several usage contexts, as well as the challenges and broader implications for adoption within libraries of all types. PubDate: 2024-06-17 DOI: 10.5860/ital.v43i2.16833 Issue No:Vol. 43, No. 2 (2024)
Authors:Blake Galbreath, Alex Merrill, Corey M. Johnson Abstract: Institutional discovery environments now serve as central resource databases for researchers in the academic environment. Over the last several decades, there have been numerous discovery layer research inquiries centering primarily on user satisfaction measures of discovery system effectiveness. This study focuses on the creation of a largely automated method for evaluating discovery layer quality, utilizing the bibliographic sources from student research projects. Building on past research, the current study replaces a semiautomated Excel Fuzzy Lookup Add-In process witha fully scripted R-based approach, which employs the stringdist R package and applies the Jaro-Winkler distance metric as the matching evaluator. The researchers consider the error rate incurred by relying solely on an automated matching metric. They also use Open Refine for normalization processes and package the tools together on an OSF site for other institutions to use. Since the R-based approach does not require special processing or time and can be reproduced with minimal effort, it will allow future studies and users of our method to capture larger sample sizes, boosting validity. While the assessment process has been streamlined and shows promise, there remain issues in establishing solid connections between research paper bibliographies and discovery layer use. Subsequent research will focus on creating alternatives to paper titles as search proxies that better resemble genuine information-seeking behavior and comparing undergraduate and graduate student interactions within discovery environments. PubDate: 2024-06-17 DOI: 10.5860/ital.v43i2.16915 Issue No:Vol. 43, No. 2 (2024)
Authors:Ken Irwin, Michael Bomholt Abstract: The Miami University Libraries (MUL) developed an open-source Software Checkout system to allow patrons to make use of software licenses owned by the library. The system takes advantage of user-based licensing under the Software as a Service (SaaS) license model and vendor-created APIs to easily and legally assign access to users. The service currently supports Adobe Creative Cloud, Final Cut Pro, and Logic Pro software. MUL has successfully used this software for three years. This article describes the expansion of offerings and the increasing use of the service over that time. Built on a model developed by Pixar for managing employee software licenses, the Software Checkout system is believed to be the first of its kind for circulating licenses to library patrons. Both this lending model and the open-source software developed by MUL are available to other libraries. This paper is intended to prompt libraries to take advantage of the legal and technical environment to expand software license sharing to other libraries. PubDate: 2024-06-17 DOI: 10.5860/ital.v43i2.16977 Issue No:Vol. 43, No. 2 (2024)
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