Abstract
From fall 2013 to the present, the Virtual Library of Virginia (VIVA) has undertaken a pilot collection analysis project with Sustainable Collection Services (SCS). This pilot has involved analyzing the main stacks holdings of 12 of the VIVA member libraries, a total of almost six million records. As is usual for an SCS analysis, the project involved comparing the pilot libraries’ holdings with each other, the consortium as a whole, the state, and the United States, as well as with HathiTrust, the internet archive, and selected peer library groups.
The goals for this project were varied, but unlike most library groups, which have used SCS analysis services to inform collaborative print preservation and deselection projects, a primary interest for VIVA was to use the analysis to inform future collection development. The hope was that learning about titles that had been acquired and used across this representative cross‐section of the consortium could be effectively translated into collaboratively acquiring e‐books in a more thoughtful, data‐driven manner, in addition to other collection development initiatives. This paper presents four different collection development approaches that have been applied to this shared data set.
It's Not Just About Weeding: Using Collaborative Collection Analysis to Develop Consortial Collections
From fall 2013 to the present, the Virtual Library of Virginia (VIVA) has undertaken a pilot collection analysis project with Sustainable Collection Services (SCS). This pilot has involved analyzing the main stacks holdings of 12 of the VIVA member libraries, a total of almost six million records. As is usual for an SCS analysis, the project involved comparing the pilot libraries’ holdings with each other, the consortium as a whole, the state, and the United States, as well as with HathiTrust, the internet archive, and selected peer library groups.
The goals for this project were varied, but unlike most library groups, which have used SCS analysis services to inform collaborative print preservation and deselection projects, a primary interest for VIVA was to use the analysis to inform future collection development. The hope was that learning about titles that had been acquired and used across this representative cross‐section of the consortium could be effectively translated into collaboratively acquiring e‐books in a more thoughtful, data‐driven manner, in addition to other collection development initiatives. This paper presents four different collection development approaches that have been applied to this shared data set.