Scholarly Work - Library
Permanent URI for this collectionhttps://scholarworks.montana.edu/handle/1/320
Browse
3 results
Search Results
Item Introducing the "Getting Found" Web Analytics Cookbook for Monitoring Search Engine Optimization of Digital Repositories(ISAST, 2015-12) Arlitsch, Kenning; OBrien, PatrickA new toolkit that helps libraries establish baseline measurements and continuous monitoring of the search engine optimization performance of their digital repositories is one of the products of research funded by the Institute of Museum and Library Services. The “Getting Found” Cookbook includes everything necessary for implementing a Google Analytics dashboard that continuously monitors SEO performance metrics relevant to digital repositories. While the Cookbook has been created for use with Google Analytics, the principles and practices described can be applied to any page tagging analytics software.Item Describing theses and dissertations using Schema.org(Dublin Core Metadata Initiative, 2014-10) Mixter, Jeff; OBrien, Patrick; Arlitsch, KenningThis 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.Item Invisible institutional repositories: addressing the low indexing ratios of IRs in Google Scholar(Emerald Group Publishing Ltd, 2012-03) Arlitsch, Kenning; OBrien, PatrickGoogle 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.