The Open SESMO (Search Engine & Social Media Optimization) Project: Linked and Structured Data for Library Subscription Databases to Enable Web-scale Discovery in Search Engines.
Today's learners operate in digital environments which can be largely navigated with no human intervention. At the same time, libraries spend millions and millions of dollars to provide access to content which our users may never know is available to them. Through the Open SESMO (Search Engine & Soc...
| Publicado en: | Journal of Web Librarianship Vol. 11; no. 3/4; pp. 172 - 194 |
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| Autores principales: | , |
| Formato: | computer program pictorial tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=126761466&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 126761466 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 19322909 31RH jtl: Journal of Web Librarianship issn: 19322909 maglogo: N pubinfo: dt: 2017 vid: 11 iid: 3/4 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 126761466 126761466 126761466 10.1080/19322909.2017.1378148 126761466 ppf: 172 ppct: 22 formats: tig: atl: The Open SESMO (Search Engine & Social Media Optimization) Project: Linked and Structured Data for Library Subscription Databases to Enable Web-scale Discovery in Search Engines. aug: au: Clark, Jason A. Rossmann, Doralyn affil: Montana State University Libraries, Bozeman, Montana, USA sug: subj: Web Search Engines Social Media Libraries, Academic Montana Access to Information Montana Semantics Resource Databases Website Development ab: Today's learners operate in digital environments which can be largely navigated with no human intervention. At the same time, libraries spend millions and millions of dollars to provide access to content which our users may never know is available to them. Through the Open SESMO (Search Engine & Social Media Optimization) database project, Montana State University (MSU) Library applied search engine optimization and structured data with the Schema.org vocabulary, linked data models and practices, and social media optimization techniques to all the library's subscribed databases. Our research shows that Open SESMO creates significant return-on-investment with substantial increased traffic to our paid resources by our users as evidenced through analytics and metrics. In the core research of the article, we take a quantitative look at the pre/post results to assess the Open SESMO method and its impact on organic search referrals and use of the collection analyzing data from three distinct fall semesters. Returns include demonstrated library value through database recommendations, connecting researchers to subject librarians, and increased visitation to our library's paid databases with growth in organic search referrals, impressions, and click-through rates. This project offers a standard and innovative practice for other libraries to employ in surfacing their paid databases to users through the open web by applying structured and linked data methods. pubtype: Academic Journal doctype: computer program pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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