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Hybrid Standard Platform for E-Journal Usage Statistics Management

  • Conference paper
  • First Online:
IT Convergence and Security 2012

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 215))

Abstract

The increasing availability of usage data for e-journals and the global standard project for usage statistics report has lead increasing interest on collecting and utilizing usage statistic information. However, collecting and integrating large-scale usage reports generated and transferred in a various way by publishers hinders librarians to utilize the usage statistics. Thus we have implemented an automatic collection and visualization system of e-journal usage statistics in this work. By using the suggested system, librarians can focus on more specific and concrete usage data of their institution. In addition, visualized statistics information can be utilized in the composition of various reports on budget or operation of the libraries.

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Notes

  1. 1.

    Publisher’s web site refers to the web site where the usage reports are provided for librarians. Some publishers may serve the reports in their official web sites; others provide them in separated web sites for providing usage statistics data only.

  2. 2.

    http://en.wikipedia.org/wiki/Web_scraping

  3. 3.

    http://sites.google.com/site/sushiserverregistry/

References

  1. Borghuis M (ed) (2005) What counts and what doesn’t: an insider’s guide to usage reports. Library connect, vol 7. Elsevier, San Diego

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  2. Jung Y, Kim J, You B (2011) Development of automatic collecting system of e-journal usage statistics based on screen scraping. In: 2011 Korea computer congress, Kyeongju

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  4. Jung Y, Kim J (2012) Improving efficiency of usage statistics collection and analysis in e-journal consortia. J Korean Soc Inf Manag 29(2):7–25

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  5. Project COUNTER, Release 3 of the COUNTER: code of practice for journal and databases http://www.projectcounter.org/code_practice.html

  6. NISO, NISO Standardized Usage Statistics Harvesting Initiative (SUSHI): Z39.93. http://www.niso.org/apps/group_public/download.php

  7. Jung Y, Kim J (2012) Analysis of STM e-journal use in south korea by utilizing automatic collection system of e-journal usage statistics. In: 8th international conference on WIS and 13th COLLNET meeting, Seoul

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  8. Bollen J, Van de Sompel H, Rodriguez MA (2008) Towards usage-based impact metrics: first results from the MESUR project. In: JCDL 2008, Pittsburgh

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Author information

Authors and Affiliations

  1. Department of Overseas Information, Korea Institute of Science and Technology Information, 245 Daehangno, Yuseong-gu, Daejeon, 305-806, Republic of Korea

    Youngim Jung & Jayhoon Kim

Authors
  1. Youngim Jung
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  2. Jayhoon Kim
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Corresponding author

Correspondence to Youngim Jung .

Editor information

Editors and Affiliations

  1. Convergence Security, Kyoung-gi University, Suwon, Gyeonggi-do, Korea, Republic of (South Korea)

    Kuinam J. Kim

  2. Dept. of Computer Information Engineerin, Sangji University, Wonju-si Gangwon-do, Korea, Republic of (South Korea)

    Kyung-Yong Chung

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© 2013 Springer Science+Business Media Dordrecht

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Jung, Y., Kim, J. (2013). Hybrid Standard Platform for E-Journal Usage Statistics Management. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_132

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  • DOI: https://doi.org/10.1007/978-94-007-5860-5_132

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5859-9

  • Online ISBN: 978-94-007-5860-5

  • eBook Packages: EngineeringEngineering (R0)

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