Title: Mapping a Dental Library Collection Using OCLCs Worldcat Analysis Service
1Mapping 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
2Background 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
3Background 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
-
4Background 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
5OCLC 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
7Collection 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
8Rationale For Participation
- Administrative Communication
- Grant Application Support
- Accreditation Self-Study Support
- Collection Development Planning
9Rationale For Participation (cont.)
- Cooperative Collection Development Opportunities
- Deep Analysis of Subject Areas
- Fiscal Accountability
- Budget Request Justification
10Challenges/Limits
- Access to group libraries only
- University of Michigan did not participate
- Large amount of data
- Unable to download directly into Excel must
convert
11Challenges/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
12Subcription 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
13Advantages 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
14Advantages 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
15Getting 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
16Age Data Displayed as Number Only
17Age Data Displayed as Percentage Only
18 Age Data Displayed as Number Percent
19Getting 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)
20Limits Available
21Limits cont.
22Additional Analysis Overlap
23Additional Analysis - Uniqueness
24Recognize Some of the Problems
- Instant graph capabilities
- Data not normalized
- Comparing apples to oranges (or decades to single
years)
25Instant Graphs . . . .
26Isnt This Great!?!? (Until you look a little
closer)
27Overcoming the Graph Problem
- Manipulation required to normalize
- Need to download all the OCLC records
- Sort by date
- Add fields to the spreadsheet
28Normalizing the Data
29Transfer the Numbers to the Spreadsheet
30Now This Looks a Lot Better!
31Problems 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
32LC vs NLM Its a Problem . . . .
33Conclusions
- Its a good product
- Good customer service support
- Know what you want to accomplish with WCA
- Know its limitations
- Ease on down the road!
34References
- 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.
35Contact Information
- Jan Cox, Head Librarian, jcox2_at_iupui.edu
- Barbara A. Gushrowski, Access Instructional
Services Librarian, bgushrow_at_iupui.edu