The Numbers Game: Collecting, Compiling and Utilizing Usage Data in an Academic Library
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Transcript of The Numbers Game: Collecting, Compiling and Utilizing Usage Data in an Academic Library
The Numbers Game: Collecting, Compiling and Utilizing Usage Data in an Academic Library
Jennifer Bazeley
Miami University Libraries
http://www.flickr.com/photos/cushinglibrary/3876088472/in/photostream
“Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital.”
-Aaron Levenstein
Overview
Why do we need data?
Using COUNTER Reports
Obtaining E-Resource Usage Data
Storing/Compiling/Disseminating Usage Data Tools and Examples
Analyzing Usage Data
Visualizing Usage Data Tools and Examples
ACRL and NCES Statistics
“In God we trust. All others must bring data.”
-W. Edwards Deming
Why usage data?
Realistic budgets
Saving money
Marketing & promotion opportunities
Justification of new purchases
The bigger picture
Using COUNTER Reports
Counting Online Usage of Networked Electronic Resources http://www.projectcounter.org/code_practice.html
Bucknell, Terry. “Garbage in, gospel out: twelve reasons why librarians should not accept cost per download figures at face value.” The Serials Librarian, 63 no. 2 (2012): 192-212. The good: consistent, credible, compatible
The questionable: differences in platform design; extent of content, disciplines, and content type; usage spikes; publisher/platform transfers; title changes; group titles; hybrid journals.
COUNTER Code of PracticeRelease 4
http://www.projectcounter.org/r4/COPR4.pdf Journal and Book DOI
Gold Open Access articles
Journal Report 2 Expansion
Journal Report 5 Modifications
Database Report Modifications
Book Report 2 Type of Section
New Report: Multimedia Report 1
New Report: Full text use of all formats on single platform
New Report: Content Usage on Mobile Devices
Flexibility in reporting period
“We are drowning in information and starving for knowledge.”
-Rutherford D. Roger
Obtaining E-Resource Usage Data
Who?
What?
When?
Where?
Obtaining E-Resource Usage Data
Obtaining E-Resource Usage Data
Storing, Compiling & Disseminating E-Resource Usage Data
Free or Low Cost Tools
Commercial Products
My Tools
My Tools: Excel and Google Cloud Connect
My Tools: Google Docs – Publish to Web
My Tools: LibGuide
My Tools:EBSCO Usage Consolidation
“Oh, people can come up with statistics to prove anything, Kent.
14% of people know that.”-Homer Simpson
Analyzing Usage Data
Be realistic
Focus your analysis
Leverage available tools
Find partners
Keep it simple
http://xkcd.com/605/
Start Simple
Titles with no use77%
Titles with use23%
Titles with Use: 23%Titles with No Use: 77%
Benchmark
Identify Existing AnalysisGalvin, Thomas J. and Allen Kent. “Use of a University Library Collection: a Progress Report on a Pittsburgh Study.” Library Journal 102, no. 20: (1977): 2317-201
40% of print books are unused six years after purchase
Examine My Data in that FrameworkSpringer e-books: an average of 194 titles accessed for first time each year
2008 – 209 titles used for the 1st time2009 – 240/308 titles used for the 1st time2010 – 133/213 titles used for the 1st time
Trend shows that 54% of our e-books will be unused after six years
Apply an Existing Principle
“If I can’t picture it, I can’t understand it.”
-Albert Einstein
http://xkcd.com/418/ http://xkcd.com/197/
Visualizing Data
Usage Data Visualization: Tools Excel
Many Eyes (IBM) – http://www-958.ibm.com/software/data/cognos/manyeyes/
Wordle http://www.wordle.net/
Google Chart Tools https://developers.google.com/chart/
Piktochart http://piktochart.com/
Create.visual.ly http://create.visual.ly/
Creately http://creately.com/
Raw Data:Cost Versus Use
Visualized Data: Cost Versus Use
Journal A Journal B Journal C$0.00
$500.00
$1,000.00
$1,500.00
$2,000.00
$2,500.00
$3,000.00
$3,500.00
$3,035.00
$2,490.00
$103.00$2.00
$2,166.00
$527.00
Cost Versus Use
Cost Use
Raw Data:Usage on All Platforms vs. Usage on Publisher Platforms
Visualized Data:Usage on All Platforms vs. Usage on Publisher Platforms
1
10
100
1000
10000
Usage on Aggregator Plat-form
Usage on Publisher Platform
Raw Data:Platforms with Highest Use FY12
Visualized Data:Platforms With Highest Use FY12
Jul 2011
Aug 2011
Sep 2011
Oct 2011
Nov 2011
Dec 2011
Jan 2012
Feb 2012
Mar 2012
Apr 2012
May 2012
Jun 2012
0
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
Platforms with Highest Use FY12
ACS PublicationsHighwire PressJSTORnature.comScienceDirectWiley Online Library
Full T
ext
Requests
Visualized Data:Journal Publishers with Ten or More Uses in 2011
Visualized Data: Journal Platforms with Ten or More Uses in 2011
“Do not trust any statistics you did not fake yourself.”
-Winston Churchill
ACRL and NCES Statistics
Create a team
Discuss the instructions
Leverage automated reporting
Document the process
Jennifer Bazeley
Head, Collection Access & Acquisitions
http://www.flickr.com/photos/cushinglibrary/3877848719/in/photostream