Your SlideShare is downloading. ×
0
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Data-driven transformation of library services: Using evidence-based practice to enhance decision making based on sub-optimal data

139

Published on

Many libraries are interested in changing the model they use for providing reference service from a just-in-case to a just-in-time model. However, often there is no good set of indicators in place …

Many libraries are interested in changing the model they use for providing reference service from a just-in-case to a just-in-time model. However, often there is no good set of indicators in place that would help drive the decision making process. In this paper, the author will describe the evidence-based techniques and practices used at the Purdue University Calumet library to transform reference services from a traditional “sitting at the desk” model to a just-in-time, consultative approach. By using relatively simple data collection and analysis techniques, the staff in the library were able to develop a new approach to offering reference services that provides greater availability of librarians to students and faculty without an increase in staffing. Perhaps most significantly, the evidence-based techniques used by the staff should be able to be easily applied to other environments without overburdening librarians with data collection activities or complex analyses.

Published in: Education, Health & Medicine
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
139
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Data-driven transformation of library services:Using evidence-based practice to enhance decisionmaking based on sub-optimal dataFrank CervoneVice Chancellor for Information Services and CIOPurdue University CalumetHammond, IN, USQualitative and Quantitative Methods in Libraries 2012Limerick IrelandMay 25, 2012
  • 2. Where in the world?ChicagoHammond
  • 3. Remodeling the library
  • 4. Optimize staffingImage courtesy of the Closed Stacks blog –http://www.closedstacks.com/wp-content/uploads/2011/04/andres-desk.jpg
  • 5. Improve overall service fromthe patron’s perspective
  • 6. Need to move from business as usual• Decisions made based on– Beliefs and Opinion– Assumptions– Anecdotal evidence– Preferences• Evaluation, if it occurs, happens afterward
  • 7. Limited data• Basic head counts• Rudimentary indicators– Question type– Duration
  • 8. Evidence-based information practice• Promotes the– collection,– interpretation, and– integration of• Valid, important, and applicable– user-reported,– librarian-observed, and– research-derived evidence
  • 9. Data provides the primary evidence formaking decisions• Not anecdotal stories– Because these are not evidentiary– However, they do provide a base for inquiry• Not “common sense”• Evaluation is integrated throughout theprocess
  • 10. How does evidence-based professionalpractice work?
  • 11. Evidence-based practice flow
  • 12. Evaluating research findings
  • 13. Levels of evidenceAdapted from Eldredge, J. (2000). Evidence-based librarianship: An overview. Bulle tin o f the Me dicalLibraryAsso ciatio n, 8 8 (4). pp: 289-302. Online at http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=35250
  • 14. Transactions by hour
  • 15. Transactions by hour by type
  • 16. Digging into the data• The library definitely has peaks and valleys ofuse• Less than half of the reference questions werereally reference questions– Most were not complex questions• Dispatched in less than 1 minute• Majority of others were “advice” questions– Dispatched in less than 5 minutes• Rarely more than 5 questions a day of acomplex nature
  • 17. Decisions made based on the dataafter consulting other studies• Combine circulation and reference servicepoint• Train our public services staff on “basic”reference questions• “Reference on demand”
  • 18. Subsequent adaptation• Not strictly reference on demand– “Peak” reference desk hours
  • 19. Evidence-based informationpractice can help• Ease decision making inconditions of uncertainty– Lack of data/less thanoptimal data• Move the library forward– Providing a baseline forcurrent and emergingpractice
  • 20. Thank youFrank Cervone, Ph.D.Vice Chancellor for Information Services and CIOPurdue University Calumetfcervone@purduecal.edu

×