Library Faculty/Staff Scholarship and Research

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

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Author: search.filters.author.Smith, AustinSubject: search.filters.subject.Resource Sharing

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    When There’s Only One: Resource sharing and the predicament of the dissertation request
    (2020-03) Thompson, Hilary; Eighmy Brown, Melissa; Smith, Austin
    The past two decades have witnessed a shift from print to electronic theses and dissertations and an accompanying growth in university mandates requiring deposit of ETDs in institutional repositories. While these changes should have paved the way for unfettered online access, barriers such as embargoes requested by the author and vendor licensing restrictions have also emerged, hampering access to these unpublished works. Likewise, policies governing cataloging, deposit, and repository access may differ widely across institutions, adding further complexity to the landscape. Interlibrary Loan practitioners are looking for ways to share this unique content and help users navigate the terrain despite the obstacles. This presentation will explore recent trends in the requesting and fulfillment of graduate works using multiple years of borrowing and lending requests from two public research universities, along with the perspectives of colleagues at peer institutions. The authors hope their research on the accessibility of theses and dissertations will inform the resource sharing community on ways to improve the sharing of these important institutional assets, including raising awareness of the need for a policy and workflow that permits controlled ILL lending of embargoed ETDs that mirrors lending of print dissertations.
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    Sharing and Collecting Latin American Publications in the Big Ten: Developing a Methodology for Consortial Data Analysis
    (2018-07) Gardinier, Lisa; Ostos, Manuel; Smith, Austin; Thompson, Hilary
    Inspired by the 2017 Big Ten Academic Alliance Collective Collection Conference, the presenters undertook a research study to better understand the consortium’s resource sharing needs for Spanish and Portuguese materials published in Latin America and to develop data-informed models for cooperative collection development of these publications. Using ILLiad custom request searches, Access queries, Python scripts, Google’s Language Detection Library, and WorldCat API, the presenters gathered and analyzed interlibrary loan and collections holdings data from the 15 members of the Big Ten Academic Alliance’s Library Initiatives. Given these libraries’ high volume of ILL requests and large collection sizes, it was imperative to employ various technologies to expedite analysis and reconcile data from different sources, making this project an excellent case study for exploring how to work with consortial data. In addition to presenting the study’s methodology and key findings, we hope this presentation encourages deeper analysis of consortial resource sharing, inspires greater cooperation in collecting for area studies, and helps libraries build distinctive collections to support consortial and national resource sharing.
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    Sharing and Collecting Latin American Publications in the Big Ten: Developing a Methodology for Consortial Data Analysis
    (2018-06) Gardinier, Lisa; Ostos, Manuel; Smith, Austin; Thompson, Hilary
    Inspired by the 2017 Big Ten Academic Alliance Collective Collection Conference, the presenters undertook a research study to better understand the consortium’s resource sharing needs for Spanish and Portuguese materials published in Latin America and to develop data-informed models for cooperative collection development of these publications. Using ILLiad custom request searches, Access queries, Python scripts, Google’s Language Detection Library, and WorldCat APIs, the presenters gathered and analyzed interlibrary loan and collections holdings data from the 15 members of the Big Ten Academic Alliance’s Library Initiatives. Given these libraries’ high volume of ILL requests and large collection sizes, it was imperative to employ various technologies to expedite analysis and reconcile data from different sources, making this project an excellent case study for exploring how to work with consortial data. In addition to presenting the study’s methodology and key findings, we hope that the poster encourages deeper analysis of consortial resource sharing, inspires greater cooperation in collecting for area studies, and helps libraries build distinctive collections to support consortial and national resource sharing.