A non-programmers guide to enhancing and making sense of EZ Proxy logs.
Purpose: Libraries throughout the world use OCLC's EZproxy software to manage access to e-resources. When cleaned, processed, visualized and enhanced, these logs paint a valuable picture of a library's impact on researcher's lives. The purpose of this paper is to share techniques and procedures for...
| Publicado en: | Performance Measurement & Metrics Vol. 20; no. 3; pp. 186 - 196 |
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| Autor principal: | |
| Formato: | pictorial research Journal Article |
| Publicado: |
Emerald Publishing Limited
2019
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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=140032230&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 140032230 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14678047 NG6 jtl: Performance Measurement & Metrics issn: 14678047 maglogo: N pubinfo: dt: 2019 vid: 20 iid: 3 pid: 465 pub: Emerald Publishing Limited artinfo: ui: 140032230 140032230 140032230 10.1108/PMM-08-2019-0034 140032230 ppf: 186 ppct: 10 formats: tig: atl: A non-programmers guide to enhancing and making sense of EZ Proxy logs. aug: au: Murphy, Sarah Anne affil: Library Department, The Ohio State University, Columbus, Ohio, USA sug: subj: Libraries Access to Information Software Utilization Data Analytics Utilization Information Resources Human Librarians Minimum Data Set Data Analysis ab: Purpose: Libraries throughout the world use OCLC's EZproxy software to manage access to e-resources. When cleaned, processed, visualized and enhanced, these logs paint a valuable picture of a library's impact on researcher's lives. The purpose of this paper is to share techniques and procedures for enhancing and de-identifying EZproxy logs using Tableau, a data analytics and visualization software, and Tableau Prep, a tool used for cleaning, combining and shaping data for analysis. Design/methodology/approach: In February 2018, The Ohio State University Libraries established an automated daily process to extract and clean EZproxy log files. The assessment librarian created a series of procedures in Tableau and Tableau Prep to union, parse and enhance these files by adding information such as user major, user status (faculty, graduate or undergraduate) and the title of the requested resource. She last stripped the data set of identifiers and applied best practices for maintaining confidentiality to visualize the data. Findings: The data set is currently 1.5m rows and growing. The visualizations may be filtered by date, user status and user department/major where applicable. Safeguards are in place to limit data presentation when filters might reveal a user's identity. Originality/value: Tableau used in concert with Tableau Prep allows an assessment librarian to clean and combine data from various sources. Once procedures for cleaning and combining data sources are established, the data driving visualizations can be set to refresh on a set schedule. This expedites the ability of librarians to derive actionable insights from EZproxy data and to share the library's positive impact on researcher's lives. pubtype: Academic Journal doctype: pictorial research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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