Library

Permanent URI for this communityhttps://scholarworks.montana.edu/handle/1/318

Montana State University Library (MSU Library) is the academic library of Montana State University, Montana's land-grant university, in Bozeman, Montana, United States. It is the flagship library for all of Montana State University System's campuses. In 1978, the library was named the Roland R. Renne Library to honor the sixth president of the university. The library supports the research and information needs of Montana's students, faculty, and the Montana Extension Service.

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Author: search.filters.author.Arlitsch, KenningSubject: search.filters.subject.Institutional repositories

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    Why So Many Repositories? Examining the Limitations and Possibilities of the Institutional Repositories Landscape
    (Taylor & Francis, 2018-03) Arlitsch, Kenning; Grant, Carl
    Academic libraries fail to take advantage of the network effect because they manage too many digital repositories locally. While this argument applies to all manner of digital repositories, this article examines the fragmented environment of institutional repositories, in which effort and costs are duplicated, numerous software platforms and versions are managed simultaneously, metadata are applied inconsistently, users are served poorly, and libraries are unable to take advantage of collective data about content and users. In the meantime, commercial IR vendors and academic social networks have shown much greater success with cloud-based models. Collectively, the library profession has enough funding to create a national-level IR, but it lacks the willingness to abandon local control.
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    Describing theses and dissertations using Schema.org
    (Dublin Core Metadata Initiative, 2014-10) Mixter, Jeff; OBrien, Patrick; Arlitsch, Kenning
    This report discusses the development of an extension vocabulary for describing theses and dissertations, using Schema.org as a foundation. Instance data from the Montana State University ScholarWorks institutional repository was used to help drive and test the creation of the extension vocabulary. Once the vocabulary was developed, we used it to convert the entire ScholarWorks data sample into RDF. We then serialized a set of three RDF descriptions as RDFa and posted them online to gather statistics from Google Webmaster Tools. The study successfully demonstrated how a data model consisting of primarily Schema.org terms and supplemented with a list of granular/domain specific terms can be used to describe theses and dissertations in detail.
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    Invisible institutional repositories: addressing the low indexing ratios of IRs in Google Scholar
    (Emerald Group Publishing Ltd, 2012-03) Arlitsch, Kenning; OBrien, Patrick
    Google Scholar has difficulty indexing the contents of institutional repositories, and the authors hypothesize the reason is that most repositories use Dublin Core, which cannot express bibliographic citation information adequately for academic papers. Google Scholar makes specific recommendations for repositories, including the use of publishing industry metadata schemas over Dublin Core. This paper aims to test a theory that transforming metadata schemas in institutional repositories will lead to increased indexing by Google Scholar.
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