1. Analyzing Data, Getting Results Some practical, not-too- burdensome tips and tricks Jenn Riley University of North Carolina at Chapel Hill

2. 3/5/13 SCELC Research Day 2 Evidence-driven decisions are a powerful guide for library operations.

3. “The plural of anecdote is not data.” After a quote with the opposite meaning, by Raymond Wolfiger. 3/5/13 SCELC Research Day 3 Sometimes attributed to Frank Kotsonis.

4. “There are three kinds of lies – lies, damned lies, and statistics.” Mark Twain, perhaps after Benjamin Disraeli. 3/5/13 SCELC Research Day 4

5. Using data for planning library operations 3/5/13 SCELC Research Day 5 Existence/hours of service points Materials to buy/license/accept/ digitize/keep/preser ve Designing web sites and other online resources Effectiveness of/satisfaction with procedures/services Evaluating a pilot service or project Projecting future expenditures

6. Both cost and value are key ALCTS Heads of Technical Services in Large Research Libraries Interest Group, Task Force on Cost/Value Assessment of Bibliographic Control (2010) Proposes definitions of value for cataloging: 3/5/13 SCELC Research Day 6 Discovery success Use Display understanding Data interoperability Support for FRBR user tasks Throughput/timeliness Support administrative goals

7. Example studies By Joyce Chapman, then at North Carolina State University Benefits of manually enhanced metadata for images Comparing effort to utility for specific EAD elements 3/5/13 SCELC Research Day 7 See Chapman, Joyce. “Metrics & Management: Cost & value of metadata workflows.” SAA 2011. http://www.academia.edu/1708422/Return_on_Investment_Metadata_met rics_and_management

8. Some common analyses 3/5/13 SCELC Research Day 8 Cost per unit produced Change over time Error/problem rate Predicting impact of a change Identifying unmet needs

9. Back to library scenarios 3/5/13 SCELC Research Day 9

10. Existence/hours of service points Who is using what and when? How can we most effectively staff them? Costs Staff time Facilities management costs Benefits Number and type of visitors, and how they use it Service transactions completed Specific services used at the location Other data to collect Usage by time of day Calculate cost per transaction 3/5/13 SCELC Research Day 10

11. Materials to buy/license/accept/digitize/ keep/preserve Should we acquire, make more accessible, or keep this? Costs Initial purchase/license Ongoing license/maintenance Staff for cataloging/processing/digitizing/ingesting/preserving Software Hardware/storage Benefits Current and predicted future use Opportunity for transformative use 3/5/13 SCELC Research Day 11

12. Evaluating a pilot service or project Is the cost/benefit ratio appropriate? What is the raw cost? But it’s not all about cost/benefit: Is the pilot achieving its aims? Does this [whatever] do what we thought it would? What collateral effects will it have? Were the assumptions we made correct? Data collection will be varied for this task 3/5/13 SCELC Research Day 12

13. Designing web sites and other online resources A/B testing User-centered design Satisfaction surveys with previous iterations, similar sites, or prototypes Web stats for previous iterations or similar sites Task-based usability testing Don’t forget the cost of sustaining it once you have it up! 3/5/13 SCELC Research Day 13

14. Effectiveness of/satisfaction with procedures/services What parts of our current service are users most and least happy about? What are the ineffieciences in our procedure for [whatever]? Some data collection ideas User surveys Ratio of potential to actual users Ratio of returning to non-returning users Error/failure rates Time from request to delivery Time tracking during staff activity 3/5/13 SCELC Research Day 14

15. Projecting future expenditures Equipment Define its lifecycle Amortize purchase cost Add in maintenance costs Compare to use as context Staff Educated guess at raises, turnover, benefit costs changes Consider: Inflation Past trends Upcoming sea changes 3/5/13 SCELC Research Day 15

16. Strategies for getting data that can be analyzed 3/5/13 SCELC Research Day 16

17. Tracking use Circulation COUNTER/SUSHI Physical visitors Web hits Social media engagement Attendance at events/sessions 3/5/13 SCELC Research Day 17

18. Tracking time Can be effective when collected as a representative snapshot Options for data collection Clipboard next to a clock Spreadsheet Free time tracking apps Make it as simple as possible 3/5/13 SCELC Research Day 18

19. Calculating costs Staff time 2080 hours per year is full time Standard benefit percentages Materials (including software) Initial purchase Maintenance contracts for big-ticket items Amortize big costs over time in service Overhead Universities typically have standard rates 3/5/13 SCELC Research Day 19

20. Calculating error rates Both objective and subjective criteria Typically best when done as a sample Consider both automated and manual means to locate errors for study 3/5/13 SCELC Research Day 20

21. Categorization Putting things into like groups Compare size of groups to one another Compare effort spent on one group to another Compare priority/value of one group to another Can be done at time of data collection, or afterwards Good idea to have some sense of categories at the beginning of the study 3/5/13 SCELC Research Day 21

22. Calculating benefit Change in knowledge or status Over time After an interaction Survey – ask about knowledge level before and after Pre- and post-tests Indirect measures Number of people reached Use 3/5/13 SCELC Research Day 22

23. Additional data analysis strategies 3/5/13 SCELC Research Day 23

24. Mechanics Code qualitative data to make it processable Make sure you pick a representative and consistent sample Extrapolate based on known data when you need to ALWAYS do a sanity check Spreadsheets are your friend 3/5/13 SCELC Research Day 24

25. More advice Context is key Don’t be paralyzed by a perceived need for perfection Know your basic analysis plans before you collect/identify data Utilize pilot projects to generate data where there is none Use the right tool for the job Document your assumptions It’s OK to use “napkin math” 3/5/13 SCELC Research Day 25

26. Get in the habit of collecting data. It will make your next decision easier. 3/5/13 SCELC Research Day 26

27. Thank you! Questions and discussion jennriley@unc.edu 3/5/13 SCELC Research Day 27