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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 Practice
Release 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 Use: 23%
        Titles with No Use: 77%



             Titles
            with use
             23%



                        Titles
                       with no
                         use
                        77%
Benchmark

Identify Existing Analysis
  Galvin, 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 Framework
  Springer e-books: an average of 194 titles accessed for first time each
  year

     2008 – 209 titles used for the 1st time
     2009 – 240/308 titles used for the 1st time
     2010 – 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
Visualizing Data




http://xkcd.com/418/    http://xkcd.com/197/
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
                                  Cost Versus Use
                                  Cost                     Use
$3,500.00


            $3,035.00
$3,000.00


                                         $2,490.00
$2,500.00
                                                       2166

$2,000.00



$1,500.00



$1,000.00


                                                                             527
 $500.00

                                                                 $103.00
                              2
   $0.00
                  Journal A                    Journal B             Journal C
Raw Data:
Usage on All Platforms vs. Usage
on Publisher Platforms
Visualized Data:
Usage on All Platforms vs. Usage on Publisher
Platforms
 10000




  1000

                                      Usage on Aggregator
                                      Platform
   100

                                      Usage on Publisher
                                      Platform
    10




     1
Raw Data:
Platforms with Highest Use FY12
Visualized Data:
                      Platforms With Highest Use FY12
                                       Platforms with Highest Use FY12
                     20000


                     18000


                     16000


                     14000
Full Text Requests




                     12000                                                                 ACS Publications
                                                                                           Highwire Press
                     10000
                                                                                           JSTOR
                                                                                           nature.com
                     8000
                                                                                           ScienceDirect

                     6000                                                                  Wiley Online Library


                     4000


                     2000


                         0
                              Jul Aug   Sep  Oct Nov   Dec  Jan  Feb  Mar  Apr May   Jun
                             2011 2011 2011 2011 2011 2011 2012 2012 2012 2012 2012 2012
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
bazelejw@miamioh.edu


                         http://www.flickr.com/photos/cushinglibrary/3877848719/in/photostream

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The Numbers Game: Collecting, Compiling and Utilizing Usage Data in an Academic Library

  • 1. 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
  • 2. “Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital.” -Aaron Levenstein
  • 3. 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
  • 4. “In God we trust. All others must bring data.” -W. Edwards Deming
  • 5. Why usage data?  Realistic budgets  Saving money  Marketing & promotion opportunities  Justification of new purchases  The bigger picture
  • 6. 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.
  • 7. COUNTER Code of Practice Release 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
  • 8. “We are drowning in information and starving for knowledge.” -Rutherford D. Roger
  • 9. Obtaining E-Resource Usage Data  Who?  What?  When?  Where?
  • 12. Storing, Compiling & Disseminating E-Resource Usage Data  Free or Low Cost Tools  Commercial Products  My Tools
  • 13. My Tools: Excel and Google Cloud Connect
  • 14. My Tools: Google Docs – Publish to Web
  • 16. My Tools: EBSCO Usage Consolidation
  • 17. “Oh, people can come up with statistics to prove anything, Kent. 14% of people know that.” -Homer Simpson
  • 18. Analyzing Usage Data  Be realistic  Focus your analysis  Leverage available tools  Find partners  Keep it simple http://xkcd.com/605/
  • 19. Start Simple Titles with Use: 23% Titles with No Use: 77% Titles with use 23% Titles with no use 77%
  • 20. Benchmark Identify Existing Analysis Galvin, 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 Framework Springer e-books: an average of 194 titles accessed for first time each year 2008 – 209 titles used for the 1st time 2009 – 240/308 titles used for the 1st time 2010 – 133/213 titles used for the 1st time Trend shows that 54% of our e-books will be unused after six years
  • 21. Apply an Existing Principle
  • 22. “If I can’t picture it, I can’t understand it.” -Albert Einstein
  • 24. 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/
  • 26. Visualized Data: Cost Versus Use Cost Versus Use Cost Use $3,500.00 $3,035.00 $3,000.00 $2,490.00 $2,500.00 2166 $2,000.00 $1,500.00 $1,000.00 527 $500.00 $103.00 2 $0.00 Journal A Journal B Journal C
  • 27. Raw Data: Usage on All Platforms vs. Usage on Publisher Platforms
  • 28. Visualized Data: Usage on All Platforms vs. Usage on Publisher Platforms 10000 1000 Usage on Aggregator Platform 100 Usage on Publisher Platform 10 1
  • 29. Raw Data: Platforms with Highest Use FY12
  • 30. Visualized Data: Platforms With Highest Use FY12 Platforms with Highest Use FY12 20000 18000 16000 14000 Full Text Requests 12000 ACS Publications Highwire Press 10000 JSTOR nature.com 8000 ScienceDirect 6000 Wiley Online Library 4000 2000 0 Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun 2011 2011 2011 2011 2011 2011 2012 2012 2012 2012 2012 2012
  • 31. Visualized Data: Journal Publishers with Ten or More Uses in 2011
  • 32. Visualized Data: Journal Platforms with Ten or More Uses in 2011
  • 33. “Do not trust any statistics you did not fake yourself.” -Winston Churchill
  • 34. ACRL and NCES Statistics  Create a team  Discuss the instructions  Leverage automated reporting  Document the process
  • 35. Jennifer Bazeley Head, Collection Access & Acquisitions bazelejw@miamioh.edu http://www.flickr.com/photos/cushinglibrary/3877848719/in/photostream

Editor's Notes

  1. The Numbers Game: Collecting, Compiling and Utilizing Usage Data in an Academic Library
  2. Statistics are like bikinis. What they reveal is suggestive, but what they conceal is vital.Aaron Levenstein
  3. Overview of presentationWhy do we need data?COUNTER Code of PracticeObtaining E-Resource Usage DataStoring/Compiling/Disseminating Usage DataTools and ExamplesAnalyzing Usage DataVisualizing Usage DataTools and ExamplesData for Decision MakingACRL and NCES Statistics
  4. In God we trust. All others must bring data.W. Edwards DemingThe data which gets the most attention in our libraries and in our literature are e-resource usage statistics.Why obtain usage data?As our academic library budgets evolve, librarians have to make difficult decisions about what resources to spend that money on every year. Looking at patron usage of our resources, both tangible and electronic, can help us to make these decisions.Last year, our library undertook a serials review (for both print and online formats) which utilized usage data for both print and online materials to aid in making decisions regarding cancellation and format change. Following that review, we have continued to compile usage for our online materials for a variety of purposes. These purposes include reviewing print serials for potential format changes, compiling ACRL and NCES statistics, and making purchase decisions on new resources. Our presentation will focus on the mechanics of obtaining usage reports from our vendors, the best methods of making usage data available to our librarians, the challenges of working with usage reports in multiple formats (including the COUNTER (Counting Online Usage of Networked Electronic Resources) format), and how subject librarians use this data in the decision making process for cancellations, format changes, and new purchase recommendations.
  5. COUNTER Code of Practice (what is it and pros and cons)COUNTER, what is it?COUNTER caveatsTerry Bucknell published an article in August 2012 in The Serials Librarian titled “Garbage in, Gospel Out: Twelve Reasons Why Librarians Should Not Accept Cost per Download Figures at Face Value”. There is a computing phrase “garbage in, garbage out” which refers to the fact that computers process whatever data you input, regardless of whether or not the data (and subsequent analysis) makes sense. The title of his article, “Garbage in, gospel out” is a more recently coined phase that expresses the tendency people have to trust numbers at face value without question. Bucknell’s article points out some of the pitfalls of COUNTER reporting, and while I don’t think that they invalidate the data we use, we should definitely be aware of the limitations.
  6. COUNTER release 4The deadline date for implementation of Release 4 is 31 December 2013.Enhancements:Enhancement of SUSHI ProtocolRequirement for journal and book DOI info to be included in reports (this helps with linking among reports from different vendors)Requirement that usage of Gold Open Access full-text articles within journals be reported separately in a new report: Journal Report 1 Gold Open AccessAn expanded Journal Report 2, which now includes ‘access denied: contentitem not licenced’, in addition to the ‘Turnaways’ (access denied:simultaneous/concurrent user licence limitexceeded) covered in earlierReleasesA modified Journal Report 5, covering usage by Year of Publication (YOP),which allows customers to calculate usage of archival packages, is now arequired report. Vendors are not required to provide this report to everycustomer every month, but they must have the capability to provide JournalReport 5 to customers on demandModified Database Reports, in which the previous requirement to report Session counts has been dropped, and a new requirement to report Record Views and Result Clicks has been added. Database Report 3 has also been renamed Platform Report 1A requirement , in Book Report 2, that the type of Section covered in the report by a particular vendor be definedA new report, Multimedia Report 1, which covers the usage of non-textual multimedia resources, such as audio, video and images, by reporting the number of successful requests for multimedia full content unitsA new set of optional usage reports, the ‘Title’ reports that enable the reporting of usage of full-text items in journals, books and reference works that are published on the same platform in a single COUNTER report.A set of new optional reports that enable usage of content on mobile devices to be reported separately.Flexibility in the reporting period for all usage reports, which allows customers to specify a date range for their usage reports
  7. We are drowning in information and starving for knowledge.Rutherford D. Roger
  8. Obtaining E-Resource Usage DataWho?Mostly library selectors and library administrators. Occasionally useful at the consortial level. Who collects stats is trickier, because it’s a time consuming job and it does require a little bit of training and special knowledge to get started. Currently in my department, I am the gatherer of statistics, largely because we have a small staff. In the near future, I hope to train my periodicals assistant to do much of the gathering work.What?What resources do I need stats for? When I began the process of getting statistics, I focused on the aggregator database we subscribed to, as well as the platforms where we had the most subscriptions. For example, we have many titles on the Highwire Press platform, and so that was a priority. The bottom priority for me was for the platforms where we only have a handful of titles, as those are asked for least frequently.At your institution, you may want to focus on packages or titles within a specific subject area or from specific vendors, depending on how you spend your resources.What vendors/resources are COUNTER/SUSHI compliant? Most vendors are COUNTER compliant, or close to being COUNTER compliant at this point. Many are also SUSHI compliant. There are lists on the internet of vendors who comply with the standards—the URLs are on the resources handout. Having COUNTER compliant usage reports makes it a lot easier to compare and contrast reports between different vendors and platforms.What formats will you focus on? In the beginning, I focused on e-journals, because that was what was most in demand. As we’ve invested heavily in e-books over the last two years, I have expanded my reports to include e-book reports, as well. We do provide database reports when they’re available, but they seem to cause the most confusion among our librarians.When?When are stats requested? When I first started, stats were requested for special projects and by individual librarians. As I became more comfortable with my job, librarians began asking for stats more regularly throughout the year. How often can I harvest and update stats? Think carefully about how often you will have time to collect and update stats. My original ambitious goal was to update all my reports monthly, but after a few months I realized how unrealistic that was. Quarterly has worked out well for me—I usually spend one morning and one afternoon each quarter updating all of my COUNTER reports. I also pull stats if someone has a special request—if it’s between quarters and a librarian is doing research or looking at usage for some other reason, it’s not a problem to update the vendor or platform list they ask about.Where?Where are vendor stats available? Each vendor or platform offers a slightly different method of acquiring your usage statistics, but there are a couple of standard methods. The process of notification and acquisition of stats has gotten more streamlined over time.In the beginning, it may be easier to focus on the platforms that offer many publisher’s titles in one report, like Highwire Press or Metapress. With a little bit of set-up, you can actually associate all of your individual Highwire Press subscriptions to one admin account so that all of your admin can be done centrally for these titles.E-mail notificationsScheduling for e-mail deliveryOnline form submission/downloadOnline via IP address authentication
  9. Obtaining E-Resource Usage Data (vendors)Email notifications with links. Most of the vendors out there offer email notifications to let you know that statistics have been updated at the end of a month. Often the emails contain a link directly to the site, so all you need to know are the log in details. Forwarding these emails to support staff so that they can retrieve stats is relatively simple. These notifications are also handy if you update your reports monthly, because each vendor updates their states on a slightly different timetable.Getting Started: Where (Vendor) Scheduling ReportsSome of the large aggregator vendors offer the option of setting up a schedule that will e-mail a report to you each month. Once you get a schedule set up, this is a very convenient service. Upon arrival, the email and attached report can be opened and saved immediately.Getting Started: Where (Vendor) Online Form SubmissionThe large majority of vendors offer an online form within your administrative account to request (or download in some cases) COUNTER compliant usage statistics in a variety of formats. You can choose to have the report emailed to the administrator or to specific recipients. This would again be a good place to direct usage reports to a support staff email account.Getting Started: Where (Vendor) Online via IP Address AuthenticationMy favorite method of gathering usage stats is via IP address authentication. You receive a URL and your stats show up on that site based on the IP address you’re accessing it from. This method is not as common--JSTOR used to do this and Readex still offers this.
  10. Storing, Compiling, and Disseminating E-Resource Uage DataOnce you have retrieved the statistics from the vendor, you need to think about where you will save and store your reports. You’ll also need to decide where you can place the reports to make them accessible to other staff.Getting Started: Where (Library)There are a number of free or low cost products that you can use in the process of saving, storing and posting stats. Some of these products are free and others are low-cost, especially for institutions. Just because you don’t have a commercial system doesn’t mean you can’t manage usage reports.Google docs/Google cloud connectMicrosoft Excel/AccessOpen OfficeDropboxLibGuidesCORALERMesPBWikiCourse Management Software (Moodle, Sakai, Blackboard)     Getting Started: Where (Library) There are now a number of commercial products around that handle usage statistics. I’m not going to talk about these too much, as you’ll hear more about some of these over the next day and a half. Commercial ProductsScholarly Stats (Swets)EBSCONET Usage ConsolidationE-Stats for Libraries (Harrassowitz)360 Counter (Serials Solutions)Our solution has taken two different directions, due to budgetary issues. When I started, there was no money in the budget for a usage tool, so I found other ways to make our reports available. Because I helped to develop our technical services LibGuide, I had a pretty good idea of how I could post reports or links to reports on the Guide. What took some research was in finding a way to update the spreadsheets simultaneously, so that I wasn’t having to update the same report in three different places.Excel – Google Cloud Connect – Google Docs – LibGuideCommercial Tools: Ebsco’s Usage ConsolidationSUSHI registry
  11. My Tools Google Cloud ConnectWhen OffiSync disappeared, I discovered Google Cloud Connect, which works in a similar way. Each time you update the document after you sync it initially, it will be updated online, as well. Each time I open my COUNTER report and paste in the new data, I’m able to sync the new content in my Google doc simultaneously.
  12. My Tools: Publish to WebPublish and Capture LinkIn order to create a link to the report to post on my LibGuide, I use the “publish to the web” feature in Google docs. Using this feature, I can generate a link which will allow the user to click and download the spreadsheet in Excel format on their own desktop.
  13. Disseminating Usage DataLibGuide E Resources TabI then post my report links to my E-Resource Usage Stats tab on our LibGuide, where our selectors know they can go to find the updated reports.http://libguides.lib.muohio.edu/content.php?pid=101466&sid=1966575
  14. Compiling Usage DataCommercial Tool: EBSCO Usage ConsolidationMore recently, we have been able to acquire the Ebsco Usage Consolidation tool. I won’t say a lot about this, since you’ll be hearing more about this later, but it has been interesting to compare using this to our more manual solution. This tool does streamline the process for those vendors that are SUSHI-compliant, though there is still a lot of work in doing the initial configuration. For vendors that are not SUSHI compliant, manual upload is possible. There is also a fair amount of clean-up involved in initial report loads, but this was expected. I haven’t heard of a method that doesn’t involve some manual labor.
  15. Oh, people can come up with statistics to prove anything, Kent. 14% of people know thatHomer Simpson
  16. Analyzing Usage DataBe realistic:If you’ve taken a course in statistics or you have an academic background that trained you in statistics, you’re all set. If you don’t have those qualifications, like me, don’t panic. If you have the resources, take a course, and do as much as you can do with your skill set. It’s better to present analysis that you know is correct, even if it doesn’t look sophisticated. Focus your analysis:Determine what it is that people want or have asked for in terms of analysis. If they just want raw data so they can do analysis on their own, that’s great. If they have asked for something specific, focus on the details of their request so that you don’t get overwhelmed.Leverage available tools:Explore the tools that are available to you online for free or for very little money. I talked about some of those earlier—Google Docs spreadsheets allows you to do some of the same things that Excel does. Open Office spreadsheets offers similar functionality. Also explore the tools that your university has to offer. Most institutions give all employees Microsoft office tools like Excel and Access. Many institutions have licenses for programs like SPSS, which you may be able to take advantage of if you know how to use the tools. Find partners:It’s likely that there is at least one librarian at your institution who has experience with analyzing data—someone with a social sciences background or someone who has taken some statistics courses may be willing to partner with you for the promise of a published paper, presentation, or some other recognition within your institution. Think about who you know outside of the library—maybe you have a friend with a social sciences background or know a faculty member who is familiar with stats. I have some friends on the psychology faculty who are always willing to explain things to me in laymen’s terms when I’m completely confused.Finally, keep it simple. Most of the audience who will be looking at your data are not lifelong statisticians.
  17. There are three things I try to remember now that I’ve started looking at data more frequently.First, start simple.Example: Springer E-Books Big DealStart with simple observations; make them visual.
  18. Second, Benchmark.Example:Springer E-Books Big DealBenchmark against other existing research/statisticsExtrapolate, identify a trend. Discuss how your results differ from previous research and offer possible explanations for why the difference occurred.
  19. Third, apply an existing principle.Example:Springer E-Books Big DealThe Pareto principle states that, for many events, roughly 80% of the effects come from 20% of the causes.Look for universal rules or principles that might apply to your data; make them visual.
  20. If I can’t picture it, I can’t understand it.Albert Einstein
  21. Visualizing DataCreating visualizations for your data is one of the best ways for gaining a better understanding of it, and for presenting it to others. Most people absorb a visual like a graph or chart more quickly than they do a table of numbers. Visualizations can be very simple or very sophisticated, and there are now a lot of tools out there that can help with all types of visualizations.
  22. Usage data visualization: tools.Excel, Many Eyes (IBM), Wordle, Tableau, CreatelyCreately available via Google Apps
  23. Raw Data: Cost Versus UseJournal A, B, C
  24. Made in ExcelVisualized Data: Cost Versus Use (graph)
  25. Raw Data: Usage on All Platforms vs. Usage on Publisher Platforms
  26. Made in ExcelVisualized Data: Usage on All Platforms vs. Usage on Publisher Platforms
  27. Raw Data: Platforms with Highest Use FY12
  28. Made in ExcelVisualized Data: Platforms with Highest Use FY12
  29. Wordle/Many EyesVisualized Data: Journal Publishers with One or More Use in 2011
  30. Wordle/Many EyesVisualized Data: Journal Platforms with One or More Use 2011
  31. Do not trust any statistics you did not fake yourself.Winston Churchill
  32. ACRL and NCES StatisticsCreate a teamDiscuss the instructionsLeverage automated reportingDocument the process
  33. End