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Asian Online Statistics: a pilot project Cathie Jilovsky

Asian Online Statistics: a pilot project Cathie Jilovsky. Outline. CAVAL’s online statistical benchmarking services CAUL Online Statistics Asian Academic Libraries online statistics pilot project background description progress report evaluation. Online Statistical Benchmarking.

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Asian Online Statistics: a pilot project Cathie Jilovsky

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  1. Asian Online Statistics: a pilot project Cathie Jilovsky

  2. Outline • CAVAL’s online statistical benchmarking services • CAUL Online Statistics • Asian Academic Libraries online statistics pilot project • background • description • progress report • evaluation

  3. Online Statistical Benchmarking • online statistical benchmarking service developed by CAVAL • gather, store, analyse & provide access to data • data about users, operations, personnel, services, collections & user populations • for better business & service decisions, improve library visibility, increase user satisfaction

  4. CAUL Statistics • The Australian & New Zealand Academic Library (CAUL) Statistics • CAUL = Council of Australian University Librarians • CONZUL = Council of New Zealand University Librarians http://www.caul.edu.au/stats/

  5. CAUL Online Statistics http://statistics.caul.edu.au

  6. Asian Online Statistics • sponsored by the iGroup (Asia) • pilot project objectives • development & provision of an online statistical website • implementation of sophisticated functionality • improvements to the collection processes for the individual libraries • provision of a sustainable online statistical service for the iGroup & Asian member libraries

  7. Implementation process 2006 • introductory workshops in Hong Kong, Malaysia, Singapore & Thailand • initial site development by CAVAL • 35 data elements & data definitions agreed • pilot data entry • Phase 1 agreed – collect data for 2005 & 2006

  8. Implementation process 2007 • 2nd set of workshops • details of site functionality • understanding the data definitions • August 2007 - data entry commenced • 8 Thai libraries & 4 Malaysian libraries • CAVAL providing help desk & assistance as required

  9. Implementation process 2008 • 8 Hong Kong Libraries joined • 2 Singapore libraries joined • Phase 2 commenced – collection of 2007 data • validated data began to be available for online benchmarking • evaluation of pilot & consideration of future directions

  10. Pilot benefits (1) • local benefits • tracking each library over time • developing staff expertise • institutional benefits • showing the contributions of the library • national benefits • comparing with other institutions • gaining national overview of library services

  11. Pilot benefits (2) • regional benefits • comparing with similar libraries in other countries • learning from the differences • global benefits • greater understanding of the role of libraries • an opportunity to be involved & contribute to this regional development

  12. 22 Participating Libraries • Hong Kong – 8 university libraries • Malaysia – 4 university libraries • Singapore – 2 university libraries • Thailand – 8 university libraries

  13. Asian Statistics site http://statsasia.caval.edu.au

  14. Functionality • compare institutional data • calculate ratios • display summary statistics • produce graphs • download data • input data module

  15. Institutional Data example

  16. Data by country example

  17. Ranked List example

  18. Graphs example

  19. Input Data example

  20. Help example

  21. Data elements • Library Organisation • Library Staff • Library Services • Information Resources • Library Expenditure • Institutional Population

  22. Asian Statistics pilot - challenges • cultural & language differences • physically located across a wide geographic area • practical issues • different currencies • different financial & academic years • varying technical backgrounds • varying local infrastructure support • little tradition of sharing data • lack of familiarity with practicalities

  23. Evaluation Process • usability of the site • clear & consistent definitions • individual feedback from participants • benchmarking possibilities • resolving issues – data differences • can’t compare apples with oranges

  24. What next? • Peer Libraries • Asian Libraries • CAUL Libraries • ARL Libraries • Global Libraries • Compare like with like …

  25. Questions?

  26. CAVALLinking Leading Libraries Cathie Jilovsky Email: cathie.jilovsky@caval.edu.au Web: http://www.caval.edu.au Online Statistics http://statistics.caul.edu.au http://statsasia.caval.edu.au

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