Commercial Serials Decision Support Systems

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Commercial Serials Decision Support Databases By Robin Paynter

description

Slides accompanied an Oregon Library Association (OLA) / Washington Library Association (WLA) 2008 Joint Conference presentation on commercial serials decision support databases.

Transcript of Commercial Serials Decision Support Systems

Page 1: Commercial Serials Decision Support Systems

Commercial Serials Decision Support Databases

By Robin Paynter

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Journal Use Reports™

360COUNTER

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About the Survey…

• Purpose

• Methodology

• Handout

• Citations

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Why SDSDs?

• Better understanding of user behavior

• Justification for budgetary decisions

• Required outcome data for administration, reaccreditation, etc

• Sound budgetary management

• Staff time and expertise

• Reduce staff barriers in data usage

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Choosing SDSDs

• Budget and staffing– Research 1 university -> small college

• Type of analysis needed

• Local considerations– Required to support journals for reasons

other than cost/benefit ratio?

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Comparative Collection Holdings

•Comparator institution holdings

•Impact Factor journals

•Core journal lists (ACRL EBSS Core Psychology List)

•Call number/Subject holdings analysis

Journal Use Reports™

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Usage Statistics

• Project Counter/SUSHI reports

• Is title being used? Longitudinal data?

• Serials cut projects

• Cost/use – access via ILL or subscribing?

360COUNTER

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Vendor/Publisher Package Deals

• How well does overall package meet needs

• How much do specific titles get used

360COUNTER

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Resource Sharing - Consortia

*Few publishers supply this Project Counter Report currently*

– Input Measure: Consortial Package Deal

– Input Measure: Last copy»State of Illinois Science Journals

– Outcome Measure: local v. consortial use

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Overlap / Gap Analysis

• Overlap:– Titles in multiple packages

360COUNTER– Bibliographic databases

• Gap:– ILL request data– Turnaway data

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Current Issues

• Publisher Project Counter Reports problems

• Local serials holdings records

• Integration of custom data sources

• Programmable macros

• No ‘one stop shopping’ for all analysis types

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Future Trends• SDSDs support more types of analysis

– Ebook usage, Input & Output measures

• End user friendliness– More ScholarlyStats dashboard display

• Improved reporting tools– More customizable tables, charts, and

graphs like 360Counter