SCELC Colloquium

What OCLC data analysis reveals about SCELC

libraries

John McDonaldCIO, Claremont University

ConsortiumMarch 6, 2013

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?

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

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…

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100,000

200,000

300,000

400,000

500,000

600,000

Total Books Held, by Library

So what? What will the data tell us…

Who makes a good resource sharing partner? Who makes a good shared print partner?

What traits can influence a Library to join a program or start a partnership?

Who do is best to collaborate with on collections in the future?

0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0%0%

5%

10%

15%

20%

25%

30%

Tota

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f C

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Unique across all Libraries

Fuller Theological Seminary, 100K

Caltech, 75K

Claremont, 180K

LMU, USF, Santa Clara, 70-80K each

American Jewish University, 50K

Occidental, 50K

Shared Print: Find Unique Holdings to Maximize Preservation

Shared Print: Find Overlap Holdings to Maximize Deselection

San

ta C

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50,000

100,000

150,000

200,000

Books a

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Shared Print: Find Overlap as a % of Collection

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0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

40% 50% 60% 70% 80% 90% 100%0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

LMU, USF, Santa Clara, 200-250K

each

Tota

l Po

rtio

n o

f C

olle

ctio

n

Unique from Claremont

Fuller Theological Seminary, 230K

Loma Linda, 120K

Biola, 135K

Caltech, 150K

Resource Sharing: Find Libraries Most Unlike Us

CUCOxy

UOPWstmt

CBUWJUAJU 0 200,000 400,000 600,000 800,000 1,000,000 1,200,000

Books held only by library Books held by BOTH library and the rest of Camino

Resource Sharing: CAMINO Collections

Resource Sharing: CAMINO Collections

Santa Clara

Fuller

Biola

Azusa Pacific

St. Mary's

Pacific Union

Cal Lutheran

0 50000 100000 150000 200000 250000 300000 350000 400000

119012

115071

149023

96352

68159

49731

47403

73435

32632

33712

35796

30527

23506

394706

377476

270988

226332

182984

150355

148658

136616

129135

116530

101624

100582

94953

Axis Labels

Unique to Li-brary

Resource Sharing: Prospective CAMINO Collections

Resource Sharing: Prospective CAMINO Collections

Caltech61%

Both5%

Loma Linda35%

Fuller54%

Both14%

Biola32%

Santa Clara40%

Both22%

USF38%

• Data has proven to be valuable in modeling potential for

resource sharing, print preservation, and collaboration

• 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

Potential for this data

• Need data from members directly

▫ Could include circulation

▫ 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

Potential Next Steps