Making MINES for Libraries © Work for Your Library Karen 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 ServicesSponsored by ARLURL: 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 n th 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_URLs Requested_URL Platform Platforms Platform Rules If_Rule Then_Platform Example If_Rule: aspresolver Then_Platform: Alexander Street Press Query: If the Requested_URL includes the text, aspresolver, then… update the Platform to Alexander Street Press.

Reasons for Selection (Check All that Apply)  A challenge while analyzing when respondents can select more than one option. Transform the structure from horizontal to vertical Tableau Excel Add-in feature Combine this with horizontal survey for cross-tabs Determine the distribution of the number of responses selected Determine patterns

Analysis of results

Using Tableau for Dashboard Tableau Public is free to use Enables open data Lots of training videos & community support Why Tableau? Desktop application Tableau Public server Data files (Excel & Access) Elements of Tableau

Response Rates

Tableau Dashboard

Making Decisions About A/V Streaming

Future Plans Refine the processes for identifying and categorizing resources Refine the 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  Priya B. Parwani Collection Development GLA