RAMP: Repository Analytics and Metrics Portal
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1 RAMP: Repository Analytics and Metrics Portal Accurately measuring use of institutional repositories Kenning Arlitsch, Patrick OBrien, Semantic Web Research OCLC RLP Meeting London, UK, March 8, 2017
2 Agenda 1. A New Reporting Model 2. Accuracy of Analytics Reporting Tools Page Tagging Log file 3. RAMP New Prototype Web Service for IR reporting
3 A New Reporting Model Page Type Definition Examples Citable Content Downloads Item Summary Ancillary Non-HTML scholarly content that may be formally cited in the research process HTML pages to help user decide to download the full publication HTML pages that provide general information or navigation Publication (.pdf) Presentation (.ppt) Data Sets (.csv) Title & Abstract Item Metadata Search Results Browse by Author Statistics
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8 Accuracy of Analytics Reporting Tools
9 Two Classes of Web Analytics 1 Analytics Service (SaaS) Page Tagging {JavaScript} HTML 2 Log Files
10 Page Tagging does not track non-html CCD Non-HTML Page Tagging HTML
11 Show Google Scholar direct link graphic
12 Google Analytics use in academic libraries Tested 279 academic library websites ARL DLF OCLC-RLP 90% US libraries contained Google tracking code
13 Data set: Jan 5 - May 17, 2016 (n = 134 days) Study Participant IR Platform URL Montana State University ScholarWorks DSpace scholarworks.montana.edu McMaster University MacSphere DSpace macsphere.mcmaster.ca University of New Mexico LoboVault DSpace repository.unm.edu University of Utah USpace CONTENTdm uspace.utah.edu
14 Most IR activity is Citable Content Downloads
15 Most IR Activity Unreported by Google Analytics
16 Page Tagging does not track non-html Citable Content Downloads Search Analytics Does! Non-HTML
17 Typical Page Tagging (GA) Data Types Page Type Pages Analytics Events Citable Content Downloads - Item Summary - Ancillary -
18 Montana Method Includes Google Search Console Page Type Citable Content Downloads Analytics Search Console Pages Events Search Analytics - Item Summary - - Ancillary - -
19 GA Ancillary Page Views and Item Summary Page Views vs CCD
20 All four IR using Google Analytics CCD Tracking Improvement Search Analytics Console Page Type Pages Events Search Analytics 2,000% - 26, ,933 Ancillary 201, Citable Content Downloads Item Summary 284,
21 Montana Method Challenges Missing non-google direct link CCD events Yahoo Bing FB GSC limits time and access Moving 90-day window Granular data = programing skills to access API
22 RAMP: Repository Analytics & Metrics Portal
23 RAMP - Repository Analytics and Metrics Portal Cloud Web service Currently accessible and free No training or configuration required Consistent method and terminology Benchmarking across time and organization Request access - mixterj@oclc.org
24 RAMP institutions as of March 3, 2017 Currently tracking over 86,000 digital items from 7 IR and capturing over 10,000 CCD per day that were previously invisible.
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27 Publications Published: Patrick OBrien, Kenning Arlitsch, Leila Sterman, Jeff Mixter, Jonathan Wheeler, and Susan Borda. Undercounting File Downloads from Institutional Repositories, Journal of Library Administration, vol. 56, no. 7, 2016 Forthcoming: Patrick OBrien, Kenning Arlitsch, Leila Sterman, Jeff Mixter, Jonathan Wheeler. RAMP: Repository Analytics and Metrics Portal: A Prototype Web Service that Accurately Counts Item Downloads from Institutional Repositories, Library Hi Tech, v35n1, March 2017 Proposal funded by IMLS: Measuring Up: Assessing Accuracy of Reported Use and Impact of Digital Repositories - scholarworks.montana.edu/xmlui/handle/1/8924
28 Undercounting Research Team Montana State University Kenning Arlitsch, Patrick OBrien, Semantic Web Research Leila Sterman, Scholarly Communication OCLC Research Jeff Mixter, Software University of New Mexico Jonathan Wheeler, Data Curation Librarian
Improving the Reported Use and Impact of Institutional Repositories
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