Spoilt for Choice : A comparison of two aggregations and the use of ScholarlyStats and Ulrichs serials analysis system

McMeekin, Jen and Sullivan, Shirley Spoilt for Choice : A comparison of two aggregations and the use of ScholarlyStats and Ulrichs serials analysis system., 2007 . In ALIA National Library and Information Technicians Conference, Melbourne (Australia), 9-12 October 2007. (Unpublished) [Conference paper]

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English abstract

The proliferation of online databases supplying aggregations of journal articles to support undergraduate courses means that academic library staff need to exercise care and maintain a watching brief on the performance of these databases. In 2006, the University of Melbourne Information Services decided to cancel one large aggregation database in favour of a competitor, after several years of monitoring coverage content and date ranges. This paper will define the term aggregation as used in the paper and provide details of both aggregation packages before going on to discuss the rationale behind the evaluation and the procedures and tools used in the evaluation process (Ulrich’s Serials Analysis System (USAS) and ScholarlyStats (SS) from MPS Technologies). In 2006, Jen became the University of Melbourne’s CAUL Datasets Co-ordinator. In this capacity, she established a working party to conduct the comparison of the databases. To ensure a representative sample of staff, liaison librarians and collection managers from a wide discipline range were included. There was a perceived need to provide value for money and ensure transparency of decision making and involvement of stakeholders from all relevant disciplines. The first task was to provide spreadsheets to working party participants. These spreadsheets contained lists of full text titles unique to each package as well as lists of all full-text titles with coverage dates included. USAS was then used to provide subject analysis and to eliminate titles already held online through publisher packages or individual subscriptions. After consultation with stakeholders, members of the working party returned with lists of titles identified as essential. Jen turned to SS for usage data for these essential titles. It was then possible to recommend purchase of individual title where usage data indicated the necessity, or to point out these titles deemed essential were in fact not used, or little used, during 2006. The paper will close with the recommendation to continue this type of analysis regularly to ensure our collections reflect the needs of the users while providing financial managers with appropriate data to ensure accountability and value for money.

Item type: Conference paper
Keywords: Journal Use Reports, AcholarlyStats, journal use statistics
Subjects: B. Information use and sociology of information > BB. Bibliometric methods
Depositing user: Shirley Sullivan
Date deposited: 24 Aug 2007
Last modified: 02 Oct 2014 12:09
URI: http://hdl.handle.net/10760/10300

References

Blecic, D. 2007, Fiscella, J.B and Wiberley, Stephen, ‘Measurement of Use of Electronic Resources: Advances in Use Statistics and Innovations in Resource Functionality’, College & Research Libraries. v .68, no. 1, pp.26-44

COUNTER Counting Online Usage of Networked Electronic Resources 2006, Member Bulletin, August 2006

COUNTER 2006, COUNTER Filter, viewed September 2006, <http://www.projectcounter.org/news.html#research>.

Keller, A. and Martinsen, D. 2006, ‘Serials rationalization at Oxford University Library Services using Ulrich’s Serials Analysis System’, Serials, v..18, no. 1, pp. 38-44.

Robinson, M 2006, ‘ScholarlyStats - the perfect accompaniment to SUSHI’, EPS Insights, 23rd February, viewed 28 September 2006, <https://www.scholarlystats.com/sstats/EPS%20-%20ScholarlyStats.pdf>.

Sedgwick, M 2006, MPS Technologies Responds to Library Needs with Launch of ScholarlyStats, viewed 28 September 2006, <http://www.mpstechnologies.com/pdfs/06.05.05.pdf>.


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