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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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%

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

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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

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Shared Print: Find Overlap as a % of Collection

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LMU, USF, Santa

Clara, 200-250K each

To

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Unique from Claremont

Fuller Theological

Seminary, 230K

Loma Linda, 120K

Biola, 135K

Caltech, 150K

Resource Sharing: Find Libraries Most Unlike Us

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

CUC

LMU

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CST

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CalArts

CBU

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

Resource Sharing: CAMINO Collections

Resource Sharing: CAMINO Collections0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

CUC

LMU

Oxy

Pep

UOP

CST

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CalArts

CBU

Dom

WJU

WUHS

AJU

HNU

Percentage of Each Library's books that are Unique to Camino

119012

115071

149023

96352

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49731

47403

73435

32632

33712

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30527

23506

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182984

150355

148658

136616

129135

116530

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0 50000 100000 150000 200000 250000 300000 350000 400000

Santa Clara

USF

Fuller

Caltech

Biola

La Sierra

Azusa Pacific

Loma Linda

St. Mary's

La Verne

Pacific Union

Point Loma Nazarene

Cal Lutheran

Unique to Library

Total Books

Resource Sharing: Prospective CAMINO Collections

Resource Sharing: Prospective CAMINO Collections

Caltech60%

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