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Building a Better Book Widget: Using Alma Analytics to Automate New Book Discovery

Are we doing enough to market newly acquired book titles? Libraries purchase and subscribe to many new book titles each year, both print and electronic. However, we rely on the expectation that users will periodically search our systems to discover newly acquired titles. Static lists and displays have been traditional marketing methods for libraries, but require tedious time and effort to maintain. Without a practical solution for an academic library, East Tennessee State University developed an automated process to generate book widgets utilizing data from Alma Analytics. These widgets are now deployed in our subject guides, website, and on our digital displays. This article outlines the development and implementation of these widgets. We also discuss the challenges we encountered, such as finding image covers and custom subject tagging.

Identiferoai:union.ndltd.org:ETSU/oai:dc.etsu.edu:etsu-works-6073
Date06 May 2019
CreatorsClamon, Travis
PublisherDigital Commons @ East Tennessee State University
Source SetsEast Tennessee State University
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceETSU Faculty Works
Rightshttp://creativecommons.org/licenses/by/3.0/

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