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Making MINES for Libraries©
Work for Your LibraryKaren R. Harker, Collection Assessment Librarian
Priya B. Parwani, Collection Development Graduate Library Assistant
University of North Texas Libraries, Denton
Overview of Presentation
What is MINES?
Why use MINES?
Who is involved?
What were the challenges?
How did we manage the responses?
How did we analyze the data?
What can we do with the results?
What is MINES for Libraries©
Measuring the Impact of Networked Electronic Services
Sponsored by ARL
URL: http://www.minesforlibraries.org/home
Survey methodology that is…
• Tested in different environments
• Validated
• Flexible
• At the time of usage
Why Use MINES for Libraries©
Answers these questions:
Who uses what resources?
When is this resource being used?
From where are users accessing that resource?
For what purposes are users accessing
these resources?
Why was this resource selected?
Why we used MINES for Libraries©
To provide a baseline of user and usage
characteristics of our electronic resources in
order to assist in the development of subject-
specific collection development plans and to
incorporate details into accreditation reviews
and regular collection evaluations.
Who was involved?
$upport
Tech
Data
Admin Support
UNT Library Admin & ALCTS Funding
ARL
Research Office
Tech support
Proxy server admin (Frank Gosnell)
Survey design (Will Hicks)
Data Management (Priya Parwani)
Survey administration (Karen Harker)
MINES for Libraries© @ UNT Libraries
Time frame
• Initiated January 2015
• Run continuously
What happens?
• Pop-up survey
What triggers the survey?
• Every nth time a link is sent through the library’s proxy server
• Ejournal title or article, online database, ebook, etc.
• Via catalog, ejournals list, LibGuide, link resolver
Implementing the survey
What is asked?
Who
Status
• Undergraduate Student
• Graduate Student
• Faculty
• Staff
• Not Affiliated
Affiliation
• Humanities
• Sciences
• Visual Arts
• Business
• Education
• Information
Why
Purpose of using resource
•Coursework or Instruction
•Thesis or dissertation
•Funded Research
•Unfunded Research
Reason for selecting resource
•Reading list
•Recommended
•Librarian-recommended
•Cited elsewhere
•Seemed relevant
Data Gathered “Behind the Scenes”
What?
URL of selected resource
When?
Date/time-stamp
Where?
IP address
Geographic location
(latitude & longitude)
Pop-up survey mechanics
EZ Proxy server
• Routes users to survey
• Sampling method:
• 1 survey triggered for every 20 clicks
User may:
• Close survey w/o responding
• Actively opt-out of survey
• Take survey
• Optional: user identifier – over 75% provided this
• All other questions required
User is routed to requested resource
after…
• Finishing the survey
• Closing it or
• Opting out
Survey
Why?
Who?
Managing Results
Survey response
Recorded counts of each time the survey is triggered
Compared this count with the number of
completed responses.
Generated survey response chart each
month.
Identifying resources
• Catalog
• Ejournals list
• OpenURL link
Requested URL via EZ Proxy server from…
• Each URL is different
• No unique identifier
Requested URL’s vary in structure
• “aspresolver” for Alexander Street Press
• “ebscohost” – whaddya think?
• “credo” – Can you guess?
But all have patterns
• Manual pattern matching was time consuming
• IFTTT method in MS Access
Pattern matching
IFTTT: If This, Then That
Requested_URLsRequested_URL
Platform
PlatformsPlatform
RulesIf_Rule
Then_Platform
ExampleIf_Rule: aspresolver
Then_Platform: Alexander Street Press
Query:
If the Requested_URL includes the text, aspresolver,
then…
update the Platform to Alexander Street Press.
Analysis of results
Using Tableau for Dashboard
• Tableau Public is free to use
• Enables open data
• Lots of trainingvideos & community support
Why Tableau?
• Desktop application
• Tableau Public server
• Data files (Excel & Access)
Elements of
Tableau https://public.tableau.com/profile/untlibraries#!/
Tableau Dashboard
http://tabsoft.co/29YRJ9l
https://public.tableau.com/profile/untlibraries#!/vizhome/MINESforLibrariesatUNT2/MinesDashboard
Making Decisions About A/V Streaming
http://tabsoft.co/2afg4cX
Future Plans
Refine the processes for identifying and
categorizing resources
Refine the MINES @ UNT Dashboard
Integrate with other data,
• institutional (enrollment, etc.)
• usage statistics
Integrate into decision-making
processes
Gather outcomes data of
respondents
Share with Liaison Librarians
•Tell the story of how their resources are being used
Encourage other libraries to share
their data
Contact Us
Karen R. Harker
Collection Assessment Librarian
University of North Texas Libraries
940-565-2688
karen.harker@unt.edu
Priya B. Parwani
Collection Development GLA
priyabhagwan.parwani@unt.edu
http://digital.library.unt.edu/explore/collections/UNTSW/
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