Scholarly Work - Library
Permanent URI for this collectionhttps://scholarworks.montana.edu/handle/1/320
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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 Managing Search Engine Optimization: An introduction for library administrators(Routledge, 2013) Arlitsch, Kenning; OBrien, Patrick; Rossmann, BrianThis article is aimed at giving library administrators a high-level perspective of SEO so that they may be equipped to ask the right questions of their technical staff, software vendors and content suppliers. It stresses the importance of aligning SEO with institutional priorities and integrating it into the strategic plan. SEO is most effective when it is an organizational priority and when it is understood and driven by administrative teams.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.