Story Problems
2
What are we measuring?
Data Visualization
Story Problems
- Information visualization
- Concept visualization
- Strategy visualization
- Metaphor visualization
- Compound visualization
More ideas for data visualization can be found on Visual-Literacy.org's Periodic Table of Visualization Methods (http://www.visual-literacy.org/periodic_table/periodic_table.html)
"Analytic activities of data visualization users," VividD.
Free!
Friday, August 15, 2014
http://ow.ly/AhOpV
InfoGraphics
What story do you want to tell?
Telling Your Story With Database Statistics
Charles Minard, 1869
Now What?
Data Subject to Availability
- Free infographics tools:
- Infogr.am
- Easel.ly
- Visualize.me
- Piktochart
- Animated infographics
- Annual reports
- Marketing initiatives
- Data visualization programs
- Processing,org
- COUNTER
- Searches and sessions
- Title usage
- Interface usage
- Full text usage
- Turnaways
- Length of sessions
- Search alerts created
- SUSHI
UVU Library's OneSearch
InfoGraphics Best Practices
- Data will drive the design
- Simplicity
- Let the images tell the story
Riehle, J. (2014). How to make an infographic [Presentation slides]. Retrieved from: http://prezi.com/mc8hapdogzgb/how-to-make-an-infographic/.
If all else fails...
"Cat Proximity," Randall Munroe. http://xkcd.com/231/
put in a picture of a cat.
“Institutional assessment efforts should not be concerned about valuing what can be measured, but instead about measuring what is valued.”
Trudi Branta
Your Turn
"Facts are stubborn, but statistics are more pliable."
Mark Twain
Your database statistics indicate that usage of one of your more expensive databases has been dramatically increasing since a new major was recently created in that discipline.
Unfortunately, a recently announced price increase will make it very difficult to keep this useful database.
You will have the chance to make a presentation at your university's budget meeting. How can you use your data to rescue this database?
Assume any parameters you like.
For Best Results
Pitfalls
- Data for the sake of data
- Statistical shenanigans
- Privacy
- User surveys
- User behavior studies
- Other data
- Institutional research
- Library initiatives
- Cost per search
"Stories change people while statistics give them something to argue about."
Bernie Siegel
Further Reading
"Extrapolating," by Randall Munroe. (http://xkcd.com/605/)
Abram, S. (2013). Upping our game: Unlocking real value in libraries. Computers in Libraries 33(5), 16-19.
Crawford, J., De Vincente, A., & Clink, S. (2004). Use and awareness of electronic information services by students at Glasgow Caledonian University: A longitudinal study. Journal of Librarianship and Information Science 36(3), 101-117.
Fagan, J.C. (2014). The effects of reference, instruction, database searches, and ongoing expenditures on full-text article requests: An exploratory analysis. Journal of Academic Librarianship 40(3/4), 264-274.
Mbabu, L.G., Bertram, A., & Varnum, K. (2013). Patterns of undergraduates' use of scholarly databases in a large research university. Journal of Academic Librarianship 39(2), 189-193.
McDermott, I.E. (2014). Show, don't tell: Data visualization for libraries. Information Today 38(4), 35-37.
Phetteplace, E. (2012). Effectively visualizing library data. Reference & User Services Quarterly 52(2), 93-97.
Stewart, C. (2011). Keeping track of it all: The challenge of measuring digital resource usage. Journal of Academic Librarianship 37(2), 174-176.