counter usage statistics: measuring the benefits of the big deals
DESCRIPTION
COUNTER usage statistics: Measuring the benefits of the big deals. Angela Conyers Evidence Base, Research & Evaluation Birmingham City University. Working with usage statistics. 2004-5 NESLi2 analysis of usage statistics (JISC) 2006-9 Analysing Publisher Deals (Evidence Base) 2008 - PowerPoint PPT PresentationTRANSCRIPT
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COUNTER usage statistics: Measuring the benefits of the big
deals
Angela ConyersEvidence Base, Research & Evaluation
Birmingham City University
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Working with usage statistics
2004-5
NESLi2 analysis of usage statistics (JISC)
2006-9
Analysing Publisher Deals (Evidence Base)
2008
Assessing the value of the NESLi2 deals (JISC)
2008-9
Usage Statistics Portal Scoping Study (JISC)
2010 -
JUSP - Journal Usage Statistics Portal (JISC)
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What do libraries want from usage data?
• Be sure it is right • Ready access for reporting• How well titles in a deal are being used:
– High use, nil and low use• Usage by subject area• Analyse trends over time• Evidence of value for money
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• Single point of access to usage data from multiple publishers
• No need to visit separate publisher sites to download usage statistics
• Usage comparison across publishers and years
• Establishing value for money
JUSP Purpose and benefits
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A collaborative project
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Libraries in JUSP
138 UK higher education and research council libraries are in JUSP
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18 publishersAmerican Association for the Advancement of ScienceAmerican Institute of Physics Annual ReviewsBioOneBritish Medical Journal Publishing GroupEdinburgh University Press ElsevierEmeraldFuture MedicineInstitute of Physics
Nature Publishing GroupOxford University PressProject MUSERoyal Society of ChemistrySAGESpringerTaylor & FrancisWiley-Blackwell
3 intermediariesEbsco EJSPublishing Technology (ingentaconnect)Swets
Publishers and intermediaries in JUSP
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What data are we collecting?
COUNTER usage reportsJR1 • Journal Report 1:
Number of Successful Full-Text Article Requests by Month and Journal
JR1a• Journal Report 1a:
Number of Successful Full-Text Article Requests from an Archive by Month and Journal
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How do we collect data?
• Standardized Usage Statistics Harvesting Initiative (SUSHI)
• M2M way of gathering statistics
• Replaces the user-mediated collection of usage reports
• 12 JUSP SUSHI clients available
• SUSHI server to gather data from JUSP
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• Data is quality checked• Full usage reports are given:
– JR1 and JR1a usage reports from publishers– Addition of usage from intermediaries/gateways– Separation of JR1A archive use from use of
current deal
• -
Making sure it is right
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Adding value to the JR1
• Titles with the highest use from one publisher or all publishers in JUSP
• Titles in various usage ranges, from nil and low to very high
• Search facility – title or ISSN or keyword• Trends over time (2009- )• Comparing usage of different publishers• Assisting with the SCONUL return
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Adding value to JUSP
JUSP enhancements:
• Adding subscribed or core titles
• What titles are in the deal?
Helping to judge the value of a deal
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Adding subscribed or core titles
• How much are the subscribed titles being used?
• How much are other titles in the deal being used?
• Does usage show that the deal offers better value than individual subscribed titles?
Adding subscribed or core titles
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What titles are in the deal?
Accounting for nil usage• Does the JR1 report contain titles that are not
available in the collection the library subscribes to?
• Does the JR1 report contain titles that are no longer part of the current deal e.g. name changes, publisher changes?
What titles are in the deal?
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How many titles are in the deal?
Project Muse JR1 for 2011 for a library with the Basic Research Collection–
59% of titles in the JR1 are not in the library’s deal and will show nil use.
Titles in the Premium Collection in the JR1 498
Titles in the Basic Research Collection 206
Titles in the JR1 not available to the Library 292
How many titles are in the deal?
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JUSP enhancements
• Usage patterns of subscribed or core titles
• Identification of titles in the deal or collection within the JR1 report
• Adding more publishers
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Measuring costs
Cost per download• All titles• Subscribed titles• Non-subscribed titles
Cost per title• All titles in the JR1• All titles in the deal/collection taken• Subscribed titles• Non-subscribed titles