Improving Efficiency of Usage Statistics Collection and Analysis in E-Journal Consortia (컨소시엄 기반 전자저널 이용통계 수집 및 분석 개선 방안)

Youngim Jung (정영임); Jeong-Hwan Kim (김정환)

doi:10.3743/KOSIM.2012.29.2.007

Improving Efficiency of Usage Statistics Collection and Analysis in E-Journal Consortia

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2012, 29(2), pp.7~25
DOI : 10.3743/KOSIM.2012.29.2.007
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : February 23, 2012
Accepted : April 11, 2012
Published : June 30, 2012

Youngim Jung ¹, Jeong-Hwan Kim ¹

¹한국과학기술정보연구원

Accredited

ABSTRACT

The proliferating use of e-journals has led increasing interest in collecting and analyzing usage statistic information. However, the existing manual method and simple journal usage reports provided by publishers hinder the effective collection of large-scale usage statistics and the comprehensive/in-depth analysis on them. Thus we have proposed a hybrid automatic method of collecting e-journal usage statistics based on screen scraping and SUSHI protocol. In addition, the generation method of summary statistics presented in graphs, charts and tables has been suggested in this study. By utilizing the suggested system and analysis data, librarians can compose various reports on budget or operation of the libraries.

KEYWORDS

e-journal usage statistics, screen scraping, SUSHI, COUNTER, statistical analysis

Citation status

* References for papers published after 2023 are currently being built.

[journal] 김성진 / 2008 / Challenges and Recent Movement in Scholarly Communication Concerning Electronic Journal Licensing Consortia / Journal of Information Science Theory and Practice / 한국과학기술정보연구원 39(1) : 27~52

[journal] 김정환 / 2009 / A Study on Main Issue Analysis of the KESLI Consortium / Journal of Information Science Theory and Practice / 한국과학기술정보연구원 40(3) : 99~123

[journal] 심원식 / 2005 / Strategies for Leveraging Usage Statistics of Electronic Resources / 정보관리학회지 / 한국정보관리학회 22(2) : 5~21

[journal] 정영임 / 2012 / 전자저널 이용통계 자동수집 시스템을 이용한 컨소시엄 서비스 강화 / 디지틀도서관 65 : 38~55

[confproc] 정영임 / 2011 / 스크린 스크래핑 기반 전자저널 이용 통계 자동 수집 시스템 개발 / 한국정보과학회 2011 컴퓨터종합학술대회 발표자료

[journal] 황옥경 / 2007 / The Current Status of the Electronic Journal Usage Statistics at the Academic Libraries / Journal of Information Science Theory and Practice / 한국과학기술정보연구원 38(4) : 68~91

[book] Association of Research Libraries / Annual ARL supplementary statistics / Association of Research Libraries

[web] COUNTER Code of Practice / 2008 / Release 3 of the COUNTER code of practice for journals and databases / http://www.projectcounter.org/r3/r3_intro.pdf

[journal] Hahn, K. L. / 2002 / Evaluative usage-based metrics for the selection of e-journals / College & Research Libraries 63(3) : 215~227

[web] ICOLC / 2006 / Revised guidelines for statistical measures of usage of web-based information resources / http://www.library.yale.edu/consortia/webstats06.htm

[confproc] Jung, Youngim / 2011 / KESLI automatic collecting system of e-journal usage statistics / Paper presented at ICOLC 13th Europe Meeting

[confproc] MacIntyre, R. / 2011 / The journal usage statistics portal (JUSP) / Paper presented at ICOLC13th Europe Meeting

[journal] McDonald, J. D. / 2006 / Understanding online journal usage: A statistical analysis of citation and use / Journal of the American Society for Information Science and Technology 5(13) : 39~50

[web] Morrison, H. / 2005 / The implications of usage statistics as an economic factor in scholarly communications / http://hdl.handle.net/10760/6816

[web] NISO / 2007 / NISO standardized usage statistics harvesting initiative (SUSHI): Z39.93 / http://www.niso.org/apps/group_public/download.php

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Improving Efficiency of Usage Statistics Collection and Analysis in E-Journal Consortia

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Improving Efficiency of Usage Statistics Collection and Analysis in E-Journal Consortia

ABSTRACT

KEYWORDS

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (6)

REFERENCES (15) * References for papers published after 2023 are currently being built.

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* References for papers published after 2023 are currently being built.