SCELC Board of Directors     OCLC Data        John McDonald   CIO, Claremont University      Analysis          Consortium ...
SCELC’s Need for DATA• Nascent resource sharing program (CAMINO)      What can I get out of this if I join?• Interest in ...
OCLC Data Analysis• SCELC officially requested provision of print book  holdings from OCLC for a portion of its members• 5...
OCLC Data Analysis• 2.2 Million Books (or 2,190,464 to be exact)• 5.5 Million Holdings (or 5,558,921 to be exact)
Data looks a little like this…
600,000                                                 200,000                                                           ...
So what? What will the data tell us…
Who makes a good resource sharing partner?Who makes a good shared print partner?Who do is best to collaborate with oncolle...
Shared Print: Find Unique Holdings to Maximize Preservation                              30%                              ...
Shared Print: Find Overlap Holdings to Maximize DeselectionBooks also held by Claremont
Shared Print: Find Overlap as a % of Collection                                    70.0%% of Collection held by Claremont ...
Resource Sharing: Find Libraries Most Unlike Us                              20%                              18%         ...
Potential for this data  • Data has proven to be valuable in modeling collections    sharing, preserving, and collaboratio...
Next Steps  • Need data from members directly    ▫ Simple data extraction should be easy and can be supplemented      by O...
Shared Print Analysis - SCELC Board Meeting
Shared Print Analysis - SCELC Board Meeting
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Shared Print Analysis - SCELC Board Meeting

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Presentation given to the SCELC Board of Directors, February Meeting, Claremont, CA

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Shared Print Analysis - SCELC Board Meeting

  1. 1. SCELC Board of Directors OCLC Data John McDonald CIO, Claremont University Analysis Consortium February 8, 2013
  2. 2. SCELC’s Need for DATA• Nascent resource sharing program (CAMINO)  What can I get out of this if I join?• Interest in shared print preservation program  What will I be obligated to keep if I join?• Some have interest in closer collaborative collection development  What can I stop buying or what else can I buy?
  3. 3. OCLC Data Analysis• SCELC officially requested provision of print book holdings from OCLC for a portion of its members• 56 SCELC schools requested (50% of membership)• Simple Data provided:  By OCLC Number  Holding Libraries by Symbol
  4. 4. OCLC Data Analysis• 2.2 Million Books (or 2,190,464 to be exact)• 5.5 Million Holdings (or 5,558,921 to be exact)
  5. 5. Data looks a little like this…
  6. 6. 600,000 200,000 300,000 400,000 500,000 100,000 0 Claremont Santa Clara LMU USF Oxy Fuller Pepperdine Caltech University of the Pacific Biola La Sierra Azusa Pacific Loma Linda St. Marys La Verne Pacific Union College Point Loma Nazarene California Lutheran Claremont School of Theology Golden Gate Baptist Theological… Mills College American Jewish University Westmont College Simpson University Vanguard University Cal Arts Cal Baptist Monterey Institute Dominican Mount St. Marys Whittier Woodbury San Diego Christian Golden Gate Hope International John F. Kennedy Menlo College William Jessup Holy Names Marymount College Cal Inst of Integral Studies Sierra Nevada Western University of Health… City of Hope Alliant San Diego Wright Institute Charles Drew Palo Alto University Alliant - SF San Francisco Conservatory of… Alliant International University Alliant - FresnoInst of Transpersonal Psychology Notre Dame de Namur Total Books Held, by Library SF Center for Psychoanalysis Alliant - Irvine
  7. 7. So what? What will the data tell us…
  8. 8. Who makes a good resource sharing partner?Who makes a good shared print partner?Who do is best to collaborate with oncollections in the future?What traits can influence a Library to join aprogram or start a partnership?
  9. 9. Shared Print: Find Unique Holdings to Maximize Preservation 30% 25% Claremont, 180KTotal Portion of Collection 20% LMU, USF, Santa Clara, 70-80K each 15% Occidental, 50K Fuller Theological Seminary, 100K 10% Caltech, 75K 5% American Jewish University, 50K 0% 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% Unique across all Libraries
  10. 10. Shared Print: Find Overlap Holdings to Maximize DeselectionBooks also held by Claremont
  11. 11. Shared Print: Find Overlap as a % of Collection 70.0%% of Collection held by Claremont 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0%
  12. 12. Resource Sharing: Find Libraries Most Unlike Us 20% 18% LMU, USF, Santa Clara, 200-250K eachTotal Portion of Collection 16% 14% 12% Fuller Theological Seminary, 230K 10% Caltech, 150K 8% Biola, 135K 6% Loma Linda, 120K 4% 2% 0% 40% 50% 60% 70% 80% 90% 100% Unique from Claremont
  13. 13. Potential for this data • Data has proven to be valuable in modeling collections sharing, preserving, and collaboration potential • Additional areas of analysis: ▫ Overlap and uniqueness by publication year and subject area (LC Call Number) ▫ Paired and multiple modeled scenarios • OCLC Data is just a snapshot in time (and already outdated) • OCLC is hard to work with and can be expensive
  14. 14. Next Steps • Need data from members directly ▫ Simple data extraction should be easy and can be supplemented by OCLC API • Find appropriate permanent home for database • Develop self-service tool with (close to) real time data • Determine if new OCLC Collection Analysis tool will provide the same or similar information

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