Data Driven Libraries
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Melissa McLimans, a Community Liaison / Service Specialist who spends much of her time working in WiLS consulting services, traveled to Lake Geneva to present “Data Driven Libraries (link)” at the Lakeshore Library System’s Annual Trustees Dinner. As attendees enjoyed a lovely meal, Melissa shared examples of innovative and practical uses of data, including data dashboards and other methods to improve library decision-making process. Many of the examples came from WiLS’ strategic planning experiences or from libraries and library systems who are using data to make the best decisions possible. Many thanks to Lakeshore Library System’s Director, Steve Ohs, for the invitation and opportunity to talk data! If you have any questions or you're interested in learning more about Melissa's work, contact her at melissa@wils.org.
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Data Driven Libraries
- 1. D A T A D R I V E N L I B R A R I E S Funding Partnerships Technology Collections Growth Communications
- 2. P R ESEN T ED BY MELISSA MCLIMANS Melissa@wils.org
- 3. I Feel Like I Already Know You…
- 4. G O A L S FO R TO N I G H T Background on types and uses of data Real world examples To not confuse qualitative with quantitative or cause with correlation
- 5. H O W W E' R E U SI N G D A TA To help libraries and library systems make better decisions E-use by year and library
- 6. H O W W E' R E U SI N G D A TA To help consortium make better decisions
- 7. H O W W E' R E U SI N G D A TA To help ourselves make better decisions and communicate our value. New Strategic Initiative: Develop appropriate assessment and outcome measures to illustrate the value and impact of the services we provide, including strategies for capturing user stories and data.
- 8. T O P 5 R EA SO N S T O U SE D A T A Without it, you just think you know. It can show you how well you are doing. It can point to areas of improvement. It can help you recognize changes in your community.
- 9. I T C A N M A K E Y O U A B ETTER LI B RA RY !
- 10. How is our collection being used and by whom? How do we compare to other libraries? What impact are we having? How much did we spend? How much did we do? How much did it matter? D A T A C A N A N SW ER Q U ESTI O N S
- 11. A F E W D A TA SO U R C ES Planning documents Demographic information from public sources DPI annual report data ILS numbers Qualitative sources
- 12. D A T A U SES Impact Strategic Operational
- 13. O P ER A T I O N A L This data shows something quantified and tends to help you take the steps necessary to make strategic decisions and meet strategic objectives.
- 14. Census and American Community Survey Median Age Comparison
- 15. DPI Annual Report Data
- 16. PC Use v. WIFI Use DPI Annual Report Data
- 17. Checkouts by hour, day, and age http://dashboard.iflsweb.org/
- 19. An Example From SHARE
- 21. STRA TEG I C Data that helps tell you where resources need to go for long-range decisions
- 23. Contextual Data Led to Clarity
- 24. Strategic Goal: Improving Collection Usage We strive to ensure access to a high-quality collection of materials in a variety of formats that meet the diverse and ever-changing needs of our community. Objectives: 1. Improve promotion of the collection throughout the library. 2. Evaluate collections to best meet the needs of the community. 3. Decrease barriers to collection use.
- 25. QUICK ASIDE: This type of inquiry led to us improving our d a t a work
- 27. Coupling Internal Data with Community Feedback Made a Powerful Case
- 28. FDL Cardholders
- 29. An Example From SHARE
- 30. 7% 16% 7% 8% 14% 13% 13% 12% 7% 3% 1% 14% 6% 3% 15% 28% 17% 15% 11% 4% Under 5 years 5 to 14years 15 to 19 years 20 to 24 years 25 to 34 years 35 to 44 years 45 to 54 years 55 to 64 years 65 to 74 years 75 years and older Matching with demographics tells a fuller picture Percent of Circs 2016 ACS
- 31. I M PA C T How much did it matter? Outcomes / Outcome-based
- 32. Shorewood Public Library Use of Data for Impact
- 33. GIS and Collection Building Chicago Public Library
- 36. Surveys / Questionnaires Informal Information Gathering Community Conversations Direct Feedback Q U A L I TA TI V E D A T A
- 37. C O M P EL L I N G STO RY TELLI N G 2018 United Way Community Conversation Report
- 38. C O M P EL L I N G STO RY TELLI N G SWOT Findings Strength: Programming Weakness: Much too small community room Opportunities: Expand the community room
- 39. LIMITATIONS
- 40. C A U TI O N A RY TA LES Check your Math
- 41. C A U TI O N A RY TA LES Check your Graph
- 42. C A U TI O N A RY TA LES Check to Make Sure You’re Not Seeing Something That’s Not Really There
- 43. C H EC K Y O U R R ESO U R C ES C H EC K Y O U R TI M E We protect each library user's right to privacy and confidentiality with respect to information sought or received and resources consulted, borrowed, acquired or transmitted – American Library Association, Code of Ethics
- 45. M O R E I D EA S Showing Library Impact with Data Using Impact Data in Advocacy Data Visualization for the Rest of Us: A Beginner’s Guide Brooklyn Public Library Branch Stats Using GIS to Establish a Public Library Consumer Health Collection Key Statistics for Trustees (Library Research Service) Measures That Matter
- 47. TH A N K Y O U !