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Mapping a Dental Library Collection Using OCLCs Worldcat Analysis Service

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Title: Mapping a Dental Library Collection Using OCLCs Worldcat Analysis Service


1
Mapping a Dental Library Collection Using OCLCs
Worldcat Analysis Service
  • Presented by
  • Jan Cox, Head Librarian
  • Barbara Gushrowski, Access Instructional
    Services Librarian
  • Ohio Valley Group of Technical Services
    Librarians Annual Conference
  • Bowling Green, Kentucky
  • May 17, 2007

2
Background Indiana University School of
Dentistry
  • Established 1879
  • Only Dental School in Indiana
  • Degrees/Programs DDS, Dental Hygiene, Dental
    Assisting
  • Graduate Degrees Endodontics, Orthodontics,
    Pediatric Dentistry, Periodontics, Prosthodontics

3
Background Indiana University School of
Dentistry (cont.)
  • Problem Based Learning Curriculum (PBL)
    Introduced 1997
  • Faculty 107 Full time
  • 113 Part time
  • 100 Adjunct/Volunteer instructors
  • Students 655

4
Background Indiana University School of
Dentistry Library
  • Established Faculty Library 1881
  • Library contains 900 volumes 1920
  • First Librarian hired 1927
  • Volumes 58,569 as of 6/30/06 (monographs
    serials)
  • Monographs 26,465 as of 6/30/07
  • Staff 5.79 FTE

5
OCLC WorldCat Collection Analysis (WCA) Service
  • April 2005 OCLC announces WCA service
  • Designed as cost effective, real-time
    collection evaluation tool
  • Analysis Options Age, Subject, Title
  • overlap, Title uniqueness, Peer Library

6
  • Libraries can analyze their entire collection as
    a single entity, regardless of classification
    schemes used in their catalog, and libraries can
    compare their collection with that of other
    libraries regardless of the classification scheme
    used. -- Source Advanced Technology Libraries

7
Collection Analysis Opportunity
  • CIC/OCLC WCA Agreement December 2005
  • 54 participating libraries
  • Peer libraries 4 with DDS degree programs
  • 125 year old collection
  • Snapshots book holdings, peer library
    comparisons

8
Rationale For Participation
  • Administrative Communication
  • Grant Application Support
  • Accreditation Self-Study Support
  • Collection Development Planning

9
Rationale For Participation (cont.)
  • Cooperative Collection Development Opportunities
  • Deep Analysis of Subject Areas
  • Fiscal Accountability
  • Budget Request Justification

10
Challenges/Limits
  • Access to group libraries only
  • University of Michigan did not participate
  • Large amount of data
  • Unable to download directly into Excel must
    convert

11
Challenges/Limits (cont.)
  • No Call Present (aka Unknown) Carry over
    from iCAS product not yet resolved
  • Comparison designed for LC/Dewey
  • Lack of NLM/MeSH sort
  • Rapidity with which data becomes out-of-date

12
Subcription Options
  • Consortial purchase
  • Less expensive
  • Can compare with any library in the consortia
  • Can create your own groups within the consortia
  • Stand alone purchase
  • More expensive
  • Able to select peer institutions from all OCLC
    users
  • OCLC sets up the groups

13
Advantages to WCA
  • If you are experienced with Excel the database is
    extremely easy to use
  • Lots of rich data to massage
  • Ability to measure collection strengths/ adequacy
  • Age analysis Identification for updating/
    weeding

14
Advantages of WCA (cont.)
  • Check the duplication rate with peer libraries
  • Identify duplication rate w/in core subjects
  • Identify duplication rate w/in non-core subjects
  • Identify time periods where duplication is
    highest/lowest

15
Getting Started. . .
  • Choose the type of analysis
  • a. Publication date (age)
  • b. Overlap (how many titles you share)
  • c. Uniqueness (how many titles you dont share)
  • Choose how to display data
  • a. Number only
  • b. Percentage only
  • c. Number and percent

16
Age Data Displayed as Number Only
17
Age Data Displayed as Percentage Only
18
Age Data Displayed as Number Percent
19
Getting Started (cont.)
  • Choose your limits
  • a. Library (for us one or more CIC libraries)
  • b. Division (by LC classification)
  • c. Publication Date (date ranges MARC 008 260
    c)
  • d. Language (54 languages available MARC 008)
  • e. Format (28 different ones Maps, books etc)
  • f. Audience (adult juvenile MARC 008)

20
Limits Available
21
Limits cont.
22
Additional Analysis Overlap
23
Additional Analysis - Uniqueness
24
Recognize Some of the Problems
  • Instant graph capabilities
  • Data not normalized
  • Comparing apples to oranges (or decades to single
    years)

25
Instant Graphs . . . .
26
Isnt This Great!?!? (Until you look a little
closer)
27
Overcoming the Graph Problem
  • Manipulation required to normalize
  • Need to download all the OCLC records
  • Sort by date
  • Add fields to the spreadsheet

28
Normalizing the Data
29
Transfer the Numbers to the Spreadsheet
30
Now This Looks a Lot Better!
31
Problems for Medical Libraries
  • WCA maps individual records based on call number
  • First looks for LC number - 050
  • Then a locally-defined LC call number - 090
  • Then the Dewey number 082
  • Then a locally-defined Dewey number - 092
  • Then FINALLY NLM number 060
  • Or locally defined NLM 096

32
LC vs NLM Its a Problem . . . .
33
Conclusions
  • Its a good product
  • Good customer service support
  • Know what you want to accomplish with WCA
  • Know its limitations
  • Ease on down the road!

34
References
  • Lyons, L. E. A Critical Examination of the
    Assessment Analysis Capabilities of OCLC ACAS.
    Journal of Academic Librarianship v. 31 no. 6
    (Nov. 2005) p. 506-516.
  • OCLC Launches Worldcat Collection Analysis
    Service. Advanced Technology Libraries v. 34 no.
    4 (April 2005) p 1, 10-11.
  • Spires, T. Using OCLCs Worldcat Collection
    Analysis to Evaluate Peer Institutions. Illinois
    Libraries (Online) v. 86 no. 2 (Summer 2006) p.
    11-19.

35
Contact Information
  • Jan Cox, Head Librarian, jcox2_at_iupui.edu
  • Barbara A. Gushrowski, Access Instructional
    Services Librarian, bgushrow_at_iupui.edu
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