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dc.contributor.authorArlitsch, Kenning
dc.contributor.authorKahanda, Indika
dc.contributor.authorOBrien, Patrick
dc.contributor.authorShanks, Justin D.
dc.contributor.authorWheeler, Jonathan
dc.date.accessioned2019-08-14T16:35:03Z
dc.date.available2019-08-14T16:35:03Z
dc.date.issued2018-09
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15631
dc.descriptionThis is the narrative for a planning grant that was awarded in September 2018.en_US
dc.description.abstractThe Montana State University (MSU) Library, in partnership with the MSU School of Computing, the University of New Mexico Library and DuraSpace, seeks a $49,998 Planning Grant from the Institute of Museum and Library Services through its National Leadership Grant program under its National Digital Platform project category to develop a sustainability plan for the Repositories Analytics & Metrics Portal that will keep its dataset open and available to all researchers. The proposal also includes developing a preliminary institutional repositories (IR) reporting model; a search engine optimization (SEO) audit and remediation plan for IR; and exploring whether machine learning can improve the quality of IR content metadata.The project team expects work conducted in this planning grant to make the case for advanced research projects that will be high-impact and worthy of funding.en_US
dc.description.sponsorshipInstitute of Museum and Library Servicesen_US
dc.language.isoen_USen_US
dc.publisherInstitute of Museum and Library Servicesen_US
dc.rightsCC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectinstitutional repositoriesen_US
dc.subjectanalyticsen_US
dc.subjectdiscoverabilityen_US
dc.titleData-Driven Improvement to Institutional Repository Discoverability and Useen_US
dc.title.alternativeLG-72-18-0179en_US
dc.typeOtheren_US
mus.identifier.categoryEngineering & Computer Scienceen_US
mus.relation.collegeLibraryen_US
mus.relation.departmentLibrary.en_US
mus.relation.universityMontana State University - Bozemanen_US
mus.contributor.orcidArlitsch, Kenning|0000-0002-5919-735Xen_US
mus.contributor.orcidShanks, Justin D.|0000-0002-0587-8256en_US


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CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.
Except where otherwise noted, this item's license is described as CC BY: This license lets you distribute, remix, tweak, and build upon this work, even commercially, as long as you credit the original creator for this work. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.