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Results of Web-scale discovery:
Data, discussions and decisions



    Jeffrey Daniels
    Head of Technical Services and
    Electronic Resource Management
    Grand Valley State University
    Libraries
• 24,000 plus students
• $4.5 million annual library materials budget
• 63 library staff members
• Over 300 databases
• 60,000 ejournal titles
• 600,000 plus ebook titles
• 2012 ACRL Excellence in Academic Libraries Award
Why should we listen to this guy?
            • Grand Valley State University was

             the first commercial implementer

             of Serial Solution’s Summon

            • Went live in August of 2009

            • Nearly 3 years experience with a

             live web-scale discovery product
Key Questions and Decisions

• Do we want web-scale discovery?

• Where do we want it?

• Who is our audience?

• Should we teach it?

• Is it working?
Do we want web-scale discovery?

• Federated searching never panned out

• Enter web-scale discovery

• Summon by Serials Solutions

• Product search

• Implementation
Where do we want it?
• Searching Before Summon
 ▫   Keyword - Encore
 ▫   Keyword – Classic
 ▫   Title
 ▫   Author
 ▫   Subject
 ▫   Journal Title

• Could there be more choices? YES
 ▫ Tabs for Nautilus
 ▫ Document Delivery
 ▫ Courser reserve
Searching After Summon
• Summon search only search on page
 ▫ Why?
 ▫ Wanted to emphasize search box
 ▫ Links to other searches
Did that help?
Who is our Audience?

• Should determine this prior to implementation
• 1st and 2nd year users
• Anyone doing research outside their discipline
• Summon driving users to subject specific
 resources
Should we teach it?
• Discovery Delivery and Management task force
• Not that “type” of librarian

• What type of class is this?

• Bookend the classes

• The “ah-ha” factor
Is it working?
• Catalog items in Summon
• Usage statistics
• Article by Head of Collections at GVSU: Doug Way
  Doug Way, The Impact of Web-scale Discovery on the Use of a Library
    Collection, Serials Review, Volume 36, Issue 4, December 2010, Pages
    214-220, ISSN 0098-7913, 10.1016/j.serrev.2010.07.002.
  (http://www.sciencedirect.com/science/article/pii/S0098791310000882)

• Collection Development
Everybody loves statistics!
• August 2009 -May 2012 (34 months)
 ▫ Summon sessions: 535,247
 ▫ Summon searches: 2,868,046

• 2011 calendar year
 ▫   Database sessions: 116,308
 ▫   Summon sessions: 210,181
 ▫   Database searches: 192,357
 ▫   Summon searches: 1,147,807
80000
                                                                                              180000




                                                          100000
                                                                                     160000




                              60000




              20000



          0
                      40000
                                                                   120000
                                                                            140000
Aug-09
Sep-09
Oct-09
Nov-09
Dec-09
Jan-10
Feb-10
Mar-10
Apr-10
May-10
Jun-10
Jul-10
Aug-10
Sep-10
Oct-10
Nov-10
Dec-10
Jan-11
Feb-11
Mar-11
Apr-11
May-11
Jun-11
 Jul-11
Aug-11
Sep-11
 Oct-11
Nov-11
Dec-11
Jan-12
Feb-12
Mar-12
Apr-12
May-12
                                                 Visits
                                      Searches
Effect on collection development?

• This is a Frequently asked question

• Using counter usage statistics to measure effect:

  ▫ 2 years pre Summon (September 2007 – August 2009)

  ▫ 2 years post Summon (September 2009 – August

   2011)
Abstract and index databases
• Expectations:
 ▫ Searches would go down
 ▫ Possible able to cancel general A/I resources

• Statistics (2 years pre compared to 2 years
  post):
 ▫ RILM searches: 37% decrease
 ▫ Sociological Abstracts searches: 38% decrease

• Effect on collection development:
 ▫ None, no cancelations to date
    Want our upper level students using discipline appropriate resources
    Accreditation and purchase model
Full text journal packages
• Expectations:
 ▫ Full text access would increase
 ▫ Allow us to cancel some aggregated databases

• Statistics:
 ▫ Springer full text: 80% increase

• Effect on collection development:
 ▫ We’re pleased
 ▫ Reinforced desire to get these packages
Full text aggregated databases
• Expectations:
  ▫ We would be able to drop some aggregators

• Statistics:
  ▫ ProQuest Medical Searches: 3% decrease
  ▫ ProQuest Medical Full Text: 3% increase
  ▫ Most aggregated resources trended similar

• Effect on collection development:
  ▫ Use is as strong or stronger
  ▫ No longer looking to drop
Effect on collection development
• Summon has clearly changed how our
  resources area being used, but we feel they
  are good changes

• Hoped to be able to recoup Summon costs
  with cancelations but didn’t see usage change
  that way

• *also haven’t had the need (knock on wood)
And in closing…
• If you are looking at web-scale discovery, ask the
 questions
• Great resource for undergraduates
• Makes library resources less “scary”
• Not to the ideal experience yet, keep asking the
 questions!
• Best product we’ve ever worked with if you don’t know
 where to start.
Questions?

• Jeffrey Daniels
▫ danielsj@gvsu.edu
   ▫ 616-331-2702

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Results of Web-scale discovery: Data, discussions and decisions

  • 1. Results of Web-scale discovery: Data, discussions and decisions Jeffrey Daniels Head of Technical Services and Electronic Resource Management Grand Valley State University Libraries
  • 2. • 24,000 plus students • $4.5 million annual library materials budget • 63 library staff members • Over 300 databases • 60,000 ejournal titles • 600,000 plus ebook titles • 2012 ACRL Excellence in Academic Libraries Award
  • 3. Why should we listen to this guy? • Grand Valley State University was the first commercial implementer of Serial Solution’s Summon • Went live in August of 2009 • Nearly 3 years experience with a live web-scale discovery product
  • 4. Key Questions and Decisions • Do we want web-scale discovery? • Where do we want it? • Who is our audience? • Should we teach it? • Is it working?
  • 5. Do we want web-scale discovery? • Federated searching never panned out • Enter web-scale discovery • Summon by Serials Solutions • Product search • Implementation
  • 6. Where do we want it? • Searching Before Summon ▫ Keyword - Encore ▫ Keyword – Classic ▫ Title ▫ Author ▫ Subject ▫ Journal Title • Could there be more choices? YES ▫ Tabs for Nautilus ▫ Document Delivery ▫ Courser reserve
  • 7.
  • 8. Searching After Summon • Summon search only search on page ▫ Why? ▫ Wanted to emphasize search box ▫ Links to other searches
  • 9.
  • 11.
  • 12.
  • 13. Who is our Audience? • Should determine this prior to implementation • 1st and 2nd year users • Anyone doing research outside their discipline • Summon driving users to subject specific resources
  • 14. Should we teach it? • Discovery Delivery and Management task force • Not that “type” of librarian • What type of class is this? • Bookend the classes • The “ah-ha” factor
  • 15. Is it working? • Catalog items in Summon • Usage statistics • Article by Head of Collections at GVSU: Doug Way Doug Way, The Impact of Web-scale Discovery on the Use of a Library Collection, Serials Review, Volume 36, Issue 4, December 2010, Pages 214-220, ISSN 0098-7913, 10.1016/j.serrev.2010.07.002. (http://www.sciencedirect.com/science/article/pii/S0098791310000882) • Collection Development
  • 16. Everybody loves statistics! • August 2009 -May 2012 (34 months) ▫ Summon sessions: 535,247 ▫ Summon searches: 2,868,046 • 2011 calendar year ▫ Database sessions: 116,308 ▫ Summon sessions: 210,181 ▫ Database searches: 192,357 ▫ Summon searches: 1,147,807
  • 17. 80000 180000 100000 160000 60000 20000 0 40000 120000 140000 Aug-09 Sep-09 Oct-09 Nov-09 Dec-09 Jan-10 Feb-10 Mar-10 Apr-10 May-10 Jun-10 Jul-10 Aug-10 Sep-10 Oct-10 Nov-10 Dec-10 Jan-11 Feb-11 Mar-11 Apr-11 May-11 Jun-11 Jul-11 Aug-11 Sep-11 Oct-11 Nov-11 Dec-11 Jan-12 Feb-12 Mar-12 Apr-12 May-12 Visits Searches
  • 18. Effect on collection development? • This is a Frequently asked question • Using counter usage statistics to measure effect: ▫ 2 years pre Summon (September 2007 – August 2009) ▫ 2 years post Summon (September 2009 – August 2011)
  • 19. Abstract and index databases • Expectations: ▫ Searches would go down ▫ Possible able to cancel general A/I resources • Statistics (2 years pre compared to 2 years post): ▫ RILM searches: 37% decrease ▫ Sociological Abstracts searches: 38% decrease • Effect on collection development: ▫ None, no cancelations to date  Want our upper level students using discipline appropriate resources  Accreditation and purchase model
  • 20. Full text journal packages • Expectations: ▫ Full text access would increase ▫ Allow us to cancel some aggregated databases • Statistics: ▫ Springer full text: 80% increase • Effect on collection development: ▫ We’re pleased ▫ Reinforced desire to get these packages
  • 21. Full text aggregated databases • Expectations: ▫ We would be able to drop some aggregators • Statistics: ▫ ProQuest Medical Searches: 3% decrease ▫ ProQuest Medical Full Text: 3% increase ▫ Most aggregated resources trended similar • Effect on collection development: ▫ Use is as strong or stronger ▫ No longer looking to drop
  • 22. Effect on collection development • Summon has clearly changed how our resources area being used, but we feel they are good changes • Hoped to be able to recoup Summon costs with cancelations but didn’t see usage change that way • *also haven’t had the need (knock on wood)
  • 23. And in closing… • If you are looking at web-scale discovery, ask the questions • Great resource for undergraduates • Makes library resources less “scary” • Not to the ideal experience yet, keep asking the questions! • Best product we’ve ever worked with if you don’t know where to start.
  • 24. Questions? • Jeffrey Daniels ▫ danielsj@gvsu.edu ▫ 616-331-2702

Editor's Notes

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