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The Quick & the Dirty The Good, the Bad & the Ugly of Database Overlap at the Journal Title Level By Karen R. Harker & Priya K., University of North Texas Libraries

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Given the decreasing budgets for collections at many libraries, librarians are looking at abstracting and indexing (A&I) resources and full-text databases with a more skeptic eye. In addition to traditional evaluation measures, such as costs, usage and faculty input, we looked at the overlap of indexing and/or full-text coverage. Those who have conducted such overlap studies have approached it at either the journal or article level. Article-level overlap studies demonstrate coverage of selected articles in the databases under study. Conversely, journal-level studies examine the extent of indexing of journals among the selected databases. Both methods are very time-consuming and require extensive resources. A simplification of the journal-level method is to compare lists of journals indexed. Two tools, Cufts and JISC's Academic Database Assessment Tool (ADAT) are very useful for this purpose, but do not include all databases. Many databases need to be manually collected. This presentation will describe the background to such a project, the specific tools and procedures used, how the results were used to address budget reductions, and the limitations of the results. Members of the audience will be able to consider using this method for evaluating their own abstract and index databases for budgetary purposes. Presenter: Karen Harker Collection Assessment Librarian, University of North Texas

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Page 1: The quick & the dirty harker -kizhakkethil

The Quick & the Dirty

The Good, the Bad & the Ugly of Database

Overlap at the Journal Title Level

ByKaren R. Harker

& Priya K.,University of North

Texas Libraries

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Engineerin

gDB

Physics DB

Science DB

Overlap in Coverage is Natural

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Web-scale discovery systems are

changing the information ecosystem Duplication of content is no longer a necessary evil

Materials budgets being squeezed Key Question:

What could we drop, if we had to?

What we wanted to know

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Done the hard way Limited to Abstract & Indexes

Only

First Attempt, 2012

• Download Lists

• Import into Database

Coverage

• Paired Comparisons

• On ISSN

Match • Overlap Rate• Unique Titles

Report

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Outcome of First Attempt

The Good

Confirm suspicions Some databases cut

Updated information Some additional info

coverage years scope of coverage

Provided foundation database

The Bad & the Ugly

Took a lot of time Some lists not easily

transportable Some lists without

ISSNs Limited to one-on-

one comparisons

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Another round of budget cuts Looking at full-text aggregator

databases Gathering more data about resources Less time to devote Graduate Student Assistant help

Second Attempt, 2014

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JISC Academic Database

Assessment Tool (ADAT) CUFTS Serials Solutions Overlap Analysis

Reinventing the Wheel?

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Academic Database Assessment Tool (ADAT) Originally from JISC (UK) Now administered by Center for Research

Libraries (CRL) Lost some functionality

Selected resources Paired comparisons only No differentiation between indexing or full-text

JISC ADAT

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What ADAT used to provide

Jacso, P. (2010). The JISC academic database assessment tool -- virtues and vices. Online Information Review, 34(5), 806-814.

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What you get from ADAT now

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Open Source Serials Management Simon Fraser University, BC,

Canada Public tools: Resource Comparison Broad selection of resources Differentiates between indexing

and full-text

CUFTS

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Like CUFTS Specific to UNT Libraries’ holdings Compare one to any number of

resources Full-text only – no information on

indexing alone

Serials Solutions Overlap Analysis

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Trying other sources

CUFTS JISC ADAT Serials

Solutions Overlap Analysis

Compare results with manual version

Good enough?

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Wrangling the Data

Priya KizhakkethilGraduate Library Assistant

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CUFTS Maintenance Tool – Resource

Comparison Serial Solutions – Overlap Analysis Center for Academic Resources, JISC

Collection – Academic Database Assessment Tool

Tools Used

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CUFTS

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Serials Solutions Overlap Analysis

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JISC ADAT

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Number of…

Unique Titles Titles Overlapped in Target

Database Unique Full-Text Titles Full-Text Titles Overlapped in Target

Database

Kind of data collected

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Data derived

Indexed

Total number of titles indexed

% of Unique titles % of titles

Overlapped

Full-Text

Total number of full-text titles

% of Unique full text titles

% of full-text titles Overlapped

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Using CUFTS

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Results from CUFTS

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# Duplicates from CUFTS

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Unique Titles via CUFTS

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# Unique from CUFTS

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Recording Results

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CUFTS for Full-Text

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Recording Results

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Results from JISC ADAT

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Recording Results from JISC ADAT

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Conclusions on Data Gathering

Quick

Easy to run Recently updated JISC summary table Serials Solutions

summary

Dirty

Data didn’t match Data changed over

time CUFTS

Sloooow Summary difficult to

find Data requires

tweaking

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Reinventing the Wheel?

Is this better than doing it manually?

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The Good, the Bad & the Ugly

JISC ADAT The Good: Simple table The Bad:

Limited number of databases 15 Bibliographic 9 Full-Text

Only paired-comparison No pretty pictures

The Ugly: Unable to download or export results

CUFTS The Good:

Extensive list of databases and versions.

Can download results. Can compare indexing & full-text

separately Can compare up to 4 databases

at once The Bad: Some resources not

available The Ugly: Had not been

updated at time of first attempt.

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The Good, the Bad & the Ugly

Serials Solutions Overlap Analysis

The Good: Easy to run Nice summaries Can download results Compare any number

of resources

Serials Solutions Overlap Analysis

The Bad: Limited to full-text coverage only

The Pretty: Is BEST!

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Comparison of Sources

The Good

Mostly consistent Within 10%

Most databases & aggregators covered About 15% not

available Some coverage

details Year Scope

The Bad

Duplication of titles Missing ISSNs Lack of coverage

details Year Scope

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Most Data Fairly Consistent

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Coyote Ugly

Wildly different denominators!

Different kinds of content.

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The Good: Much faster The Bad: Not all databases

available The Ugly: Some data unreliable

or inconsistent.

Outcomes

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Need All Four Wheels

ADAT CUFTS

SerSol

Manual

Hart, Alfred. Improvement in Wagon-Brakes., Patent, December 4, 1877; digital images, (http://texashistory.unt.edu/ark:/67531/metapth166725/ : accessed April 24, 2014), University of North Texas Libraries, The Portal to Texas History, http://texashistory.unt.edu ; crediting UNT Libraries Government Documents Department, Denton, Texas.