Automating library stock ordering from reading lists

Deciding which works should be held by a university library, and how many copies of each work are required, is a time consuming process. Library staff have to consider a number of variables in making each purchasing decision, and use data from a variety of library systems. At Loughborough University one such system is the online reading lists, which allows academic staff to indicate to students and library staff which books they feel are most useful/important. This paper discusses taking data from the reading list system, and other library data sources, and using it in an automated system to make book purchasing suggestions to ease this task for library staff. © 2013 J.P.Knight,G.P. Brewerton and J.L.Cooper.