COUNTER usage statistics: Measuring the benefits of the big deals


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  • Paul to introduce
  • Slide 2Without COUNTER of course none of this would be possible because for the portal to succeed it must offer reliable data. All our reports are based on the main COUNTER reports the JR1 and the JR1a.  
  • COUNTER usage statistics: Measuring the benefits of the big deals

    1. 1. COUNTER usage statistics:Measuring the benefits of the big deals Angela Conyers Evidence Base, Research & Evaluation Birmingham City University
    2. 2. Working with usage statistics2004-5NESLi2 analysis of usage statistics (JISC)2006-9Analysing Publisher Deals (Evidence Base)2008Assessing the value of the NESLi2 deals (JISC)2008-9Usage Statistics Portal Scoping Study (JISC)2010 -JUSP - Journal Usage Statistics Portal (JISC)
    3. 3. What do libraries want fromusage 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
    4. 4. JUSP Purpose and benefits • 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
    5. 5. A collaborative project
    6. 6. 138 UK highereducation andresearch councillibraries are in JUSP
    7. 7. 18 publishers Nature Publishing Group American Association for the Oxford University Press Advancement of Science Project MUSE American Institute of Physics Royal Society of Chemistry Annual Reviews SAGE BioOne Springer British Medical Journal Taylor & Francis Publishing Group Wiley-Blackwell Edinburgh University Press 3 intermediaries Elsevier Ebsco EJS Emerald Publishing Technology Future Medicine (ingentaconnect) Institute of Physics Swets
    8. 8. COUNTER usage reportsJR1• Journal Report 1: Number of Successful Full-Text Article Requests by Month and JournalJR1a• Journal Report 1a: Number of Successful Full-Text Article Requests from an Archive by Month and Journal / 2920562020/
    9. 9. • 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
    10. 10. Making sure it is right• 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
    11. 11. 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
    12. 12. HelpingAdding value to JUSP a deal to judge the value ofJUSP enhancements: • Adding subscribed or core titles • What titles are in the deal?
    13. 13. Adding subscribed or core titles 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?
    14. 14. What titles are in the deal? 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?
    15. 15. How many titles are in the deal?Project Muse JR1 for 2011 for a library with theBasic Research Collection– 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 29259% of titles in the JR1 are not in the library’sdeal and will show nil use.
    16. 16. JUSP enhancements• Usage patterns of subscribed or core titles• Identification of titles in the deal or collection within the JR1 report• Adding more publishers
    17. 17. Measuring costsCost per download • All titles • Subscribed titles • Non-subscribed titlesCost per title • All titles in the JR1 • All titles in the deal/collection taken • Subscribed titles • Non-subscribed titles
    18. 18.