Library Research & Innovative Practice Forum

Permanent URI for this collectionhttp://hdl.handle.net/1903/16362

The Library Research & Innovative Practice Forum is an annual event in June featuring lightning talks, presentations, and poster sessions by UMD Libraries’ librarians and staff.

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2016 - 20182

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Author: search.filters.author.Koivisto, JosephSubject: search.filters.subject.Libraries

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    My very first robot: Programming a Twitter bot to promote open access scholarship
    (2018-06-14) Koivisto, Joseph; Koivisto, Joseph
    Social media is now recognized as an important element in promoting scholarship available on institutional repository sites. To capitalize on the value-added by social media engagement, automated "bots" can be deployed to facilitate social media outreach with minimal administrative investment. In this presentation, I'll provide an overview of social media's value in the context of open access publishing. I will also walk through the steps of creating a Python-based Twitter bot, providing high-level concepts that will be understandable for non-programmers. I will also provide a narrative description of my experience building my first Twitter bot to help reveal the sometimes hidden labor that goes in to the development of behind-the-scenes programmatic tools.
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    Custom Analytics with Google Tag Manager: Assessing Usage Statistics on the MD-SOAR Platform
    (2016-06-08) Koivisto, Joseph
    As usage metrics continue to attain an increasingly central role in library system assessment and analysis, librarians tasked with system selection, implementation, and support are driven to identify metric approaches that simultaneously require less technical complexity and greater levels of data granularity. Such approaches allow systems librarians to present evidence-based claims of platform usage behaviors while reducing the resources necessary to collect such information, thereby representing a novel approach to real-time user analysis as well as dual benefit in active and preventative cost reduction. As part of the DSpace implementation for the MD SOAR initiative, the Consortial Library Application Support (CLAS) division has begun test implementation of the Google Tag Manager analytic system in an attempt to collect custom analytical dimensions to track author- and university-specific download behaviors. Building on the work of Conrad , CLAS seeks to demonstrate that the GTM approach to custom analytics provides both granular metadata-based usage statistics in an approach that will prove extensible for additional statistical gathering in the future. This poster will discuss the methodology used to develop these custom tag approaches, the benefits of using the GTM model, and the risks and benefits associated with further implementation.