Library Faculty/Staff Scholarship and Research

Permanent URI for this collectionhttp://hdl.handle.net/1903/11

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    The Time Has Come...To Build, Reflect, and Analyze Connections Between Qualitative and Quantitative Data
    (Charleston Conference, 2019, 2019-11-06) Sly, Jordan; DePope, Leigh Ann; Frank, Cindy; Ritchie, Stephanie
    This poster will address the development process of a qualitative evaluation tool to aid in the thorough analysis of library resources at the University of Maryland. Specifically, our project looks at the use and added value of this tool for the building, reflecting, and analyzing connections between qualitative and quantitative data. This will allow for more meaningful justifications of budgetary decisions than compared to cost and use metrics alone. Given the necessity for meticulous review of continuing resources, our project addresses a request for enhanced transparency from the university faculty and library oversight body and serves as a useful tool for accountability and justification of impactful decisions for stakeholders internally and externally. We will discuss the extant literature and the need for this type of tool, the development process including the output planning and data input format, the initial reception of the project, and future goals and planning for our initial usage
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    Combining ALEPH and GreenGlass Data
    (2019-05) Ritchie, Stephanie; Ritchie, Stephanie
    OCLC’s GreenGlass tool is designed to help librarians make data-driven decisions and contains a powerful report builder. However, while USMAI libraries have access to GreenGlass through the end of August 2019, the data in GreenGlass is a static snapshot from June 2017. In order to look at items added since June 2017 and at updated circulation statistics, librarians need to supplement the GreenGlass reports with data from ALEPH. Stephanie Ritchie will walk attendees through the process of merging data from GreenGlass and Aleph to create usable, up-to-date reports which can then be used for collection management or statistical purposes.