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Improving the reported use and impact of institutional repositories

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Kenning Arlitsch, Dean - @kenning_msu Patrick OBrien, Semantic Web Research Director - @sempob Montana State University Library Coalition for Networked Information Washington, D.C. December 13, 2016 Improving the Reported Use and Impact of Institutional Repositories
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Page 1: Improving the reported use and impact of institutional repositories

Kenning Arlitsch, Dean - @kenning_msuPatrick OBrien, Semantic Web Research Director - @sempob

Montana State University Library

Coalition for Networked InformationWashington, D.C.

December 13, 2016

Improving the Reported Use and Impact of Institutional Repositories

Page 2: Improving the reported use and impact of institutional repositories

Theme

Accurately assessing the impact of institutional repositories

Research funded by the Institute of Museum and Library Services (IMLS)”Measuring Up: Assessing Accuracy of Reported Use and Impact of Digital Repositories”http://scholarworks.montana.edu/xmlui/handle/1/8924

Page 3: Improving the reported use and impact of institutional repositories

Agenda❖A New Reporting Model❖Accuracy of Analytics Reporting Tools

●Page Tagging●Log file

❖RAMP●New Prototype Web Service for IR

reporting

Page 4: Improving the reported use and impact of institutional repositories

A New Reporting Model

Page Type Definition Examples

Citable Content Downloads

Non-HTML scholarly content that may be formally cited in the research process

● Publication (.pdf)● Presentation (.ppt)● Data Sets (.csv)

Item SummaryHTML pages to help user decide to download the full publication

● Title & Abstract● Item Metadata

AncillaryHTML pages that provide general information or navigation

● Search Results● Browse by Author● Statistics

Page 5: Improving the reported use and impact of institutional repositories
Page 6: Improving the reported use and impact of institutional repositories
Page 7: Improving the reported use and impact of institutional repositories
Page 8: Improving the reported use and impact of institutional repositories

Two Classes of Web Analytics

HTML

Analytics Service (SaaS)1Log Files

2Page Tagging{JavaScript}

Page 9: Improving the reported use and impact of institutional repositories

Google Analytics used by most academic libraries

❖Tested 279 academic library websites●ARL●DLF●OCLC-RLP

❖90% US libraries contained Google tracking code

Page 10: Improving the reported use and impact of institutional repositories

Page Tagging

Page Tagging does not track non-HTML Citable Content Downloads

HTML

Non-HTML

Page 11: Improving the reported use and impact of institutional repositories

Show Google Scholar direct link graphic

Page 12: Improving the reported use and impact of institutional repositories

Web Analytics Accuracy RisksRisks Analytics Method

Area Types Page Tagging Log Files

OverCount

Visits Low High

Downloads Low High

Page Views Low Low

UnderCount

Visits Medium Medium

Downloads High Low

Page Views Low Low

Page 13: Improving the reported use and impact of institutional repositories

Typical Page Tagging Data Sources

Page Type Analytics

Pages Events

Citable Content Downloads

- ✅

Item Summary ✅ -

Ancillary ✅ -

Page 14: Improving the reported use and impact of institutional repositories

Four IR During 2016 Spring Semester January 5 to May 17 (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

Page 15: Improving the reported use and impact of institutional repositories

Page Tagging does not track non-HTML Citable Content Downloads

Non-HTML

Search Analytics

Does!

Page 16: Improving the reported use and impact of institutional repositories

Montana Method Includes Google Search Console

Page Type Analytics Search

Console

Pages Events Search Analytics

Citable Content Downloads

- ✅ ✅

Item Summary ✅ - -

Ancillary ✅ - -

Page 17: Improving the reported use and impact of institutional repositories

All four IR using Google Analytics

Page Type Analytics Search

Console

Pages Events Search Analytics

Citable Content Downloads - 26,355 562,933

Item Summary 284,303 - -

Ancillary 201,793 - -

CCD Tracking Improvement

2,000%

Page 18: Improving the reported use and impact of institutional repositories

Most IR Activity Unreported by Google Analytics.

Page 19: Improving the reported use and impact of institutional repositories

Most IR activity consists of Citable Content Downloads

Page 20: Improving the reported use and impact of institutional repositories

Montana Method Challenges❖ Missing non-Google direct link CCD

events ● Yahoo● Bing● Email

❖ Search Analytics limits time and access● Moving 90 day window● Granular data = programing skills to

access API

Page 21: Improving the reported use and impact of institutional repositories

RAMP - Repository Analytics and Metrics Portal

❖ Cloud Web service❖ Currently accessible and free

● During grant period (December 2017)❖ No training or configuration required❖ Consistent method and terminology❖ Benchmarking across time and

organization❖ Request Access @ [email protected]

Page 22: Improving the reported use and impact of institutional repositories

Two New PublicationsPublished:

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, and Susan Borda. “RAMP: Repository Analytics and Metrics Portal: A Prototype Web Service that Accurately Counts Item Downloads from Institutional Repositories,” Submitted to Library Hi Tech, expected publication early 2017

Page 23: Improving the reported use and impact of institutional repositories

Undercounting Research Team❖Montana State University

●Kenning Arlitsch, Dean @kenning_msu●Patrick OBrien, Semantic Web Research Director @sempob

●Leila Sterman, Scholarly Communication Librarian @calamityleila

●Susan Borda, Digital Technologies Librarian @mutanthumb

❖OCLC Research●Jeff Mixter, Software Engineer @jeffmixter

❖University of New Mexico●Jonathan Wheeler, Data Curation Librarian


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