This presentation was provided by Frankie Wilson of the Bodleian Library, University of Oxford, during the NISO Webinar, Using Analytics to Extract Value from the Library's Data, Part Two, held on September 19, 2018.
7. Time and Money
• Does take time
• Planning
• Doing
• Analysing
• Thinking
• Writing
• Get’s quicker with practice
• You can go a long way on $50
8. Skills: Data Cleaning
• Are these numbers correct?
• Apply your knowledge
Branch Number of book loans
Main Library 3758649
Law Library 2456
Medical Library 786910
History Library 643859
Psychology Library 424800
English Library 786910
14. Skills: Write questions
• Find a book on how to write good
questions (social science research
methods).
• Follow it.
15. Skills: Ask “why?”
• Read responses to interviews / focus
groups / free text questions.
• Note things that strike you as interesting /
surprising / odd.
• Group data (tag / categorise)
• Summarise the responses in each
category.
• Ask “why?”
• Go back round again …
16. What success looks like
• Good enough is good enough
• Data analysis:
• Purposeful
• Useful
• Actioned
• What do you want to know?
• Trustworthy
17. A note on terminology
• Inputs – staff FTE
• Processes – speed of re-shelving
• Outputs – # e-journals
• Customer satisfaction -
• Impact – effect of IS session on quality of referencing
• Outcome – University score in REF
• Return on Investment – £ economic benefit for every £
input
• Value – support for learning
• Worth – contribution to international reach of
University
• Quality -
18. “Everything that can be counted does not
necessarily count; everything that counts
cannot necessarily be counted” Albert Einstein
19. Trustworthy
• Clear, unambigous question
• Appropriate approach
• How many? How often? When? Quantitative
• Why? How? How do they feel? Qualitative
• Appropriate data gathering method
• Documented analysis
20. Get Loud!
• Communicate results for action
• Write with audience in mind
• Close the loop
• What action taken
• Document learning
• Improve with practice