Session Number

Parallel Session 2B

Keywords

Citation analysis, Demand Driven Acquisitions, Collection Development

Description

This paper describes how citation data can be used for identifying gaps in journal holdings and in that way form a foundation for acquisitions. Citation data was matched against e-journal holdings using Web of Science™ and export files from a central knowledge base. Data for three years (2010-2012) was used, in total from 6 246 publications containing 130 090 references to 5 216 journals.

Furthermore, impact factors from Journal Citation Reports™ were added as well as information about publisher and if the journal was open access or not. The journals were also enriched with subject headings. The latter information was drawn from the database Ulrich’s web™.

The output was divided according to which of the nine different schools of the institution the first author was affiliated to, each school being subject specific. (i.e.: Architecture, Biotechnology, Chemistry, Computer Science, Engineering)

Analysis of citations to journals held or not held by the library formed an excellent foundation for future demand driven purchase decisions. Also, conclusions could be drawn about citing patterns to high impact journals, how open access journals were cited and which publishers were most highly cited.

A specific analysis was performed within the life sciences as new research groups were demanding e-resources within subject areas not traditionally associated with a technological university. The data could confirm the accuracy of recent major investments as well as give support for future purchases. The data also shows how journal holdings in general match the different subject areas of the institution and in that way can provide a valuable basis for future budget discussions with the faculty.

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Jun 2nd, 12:00 AM

Using Citation Data for Purchase Decisions: Analysing Citing Patterns and Journal Holdings at the Royal Institute of Technology

This paper describes how citation data can be used for identifying gaps in journal holdings and in that way form a foundation for acquisitions. Citation data was matched against e-journal holdings using Web of Science™ and export files from a central knowledge base. Data for three years (2010-2012) was used, in total from 6 246 publications containing 130 090 references to 5 216 journals.

Furthermore, impact factors from Journal Citation Reports™ were added as well as information about publisher and if the journal was open access or not. The journals were also enriched with subject headings. The latter information was drawn from the database Ulrich’s web™.

The output was divided according to which of the nine different schools of the institution the first author was affiliated to, each school being subject specific. (i.e.: Architecture, Biotechnology, Chemistry, Computer Science, Engineering)

Analysis of citations to journals held or not held by the library formed an excellent foundation for future demand driven purchase decisions. Also, conclusions could be drawn about citing patterns to high impact journals, how open access journals were cited and which publishers were most highly cited.

A specific analysis was performed within the life sciences as new research groups were demanding e-resources within subject areas not traditionally associated with a technological university. The data could confirm the accuracy of recent major investments as well as give support for future purchases. The data also shows how journal holdings in general match the different subject areas of the institution and in that way can provide a valuable basis for future budget discussions with the faculty.