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Collection Intelligence: Using data driven decision making in collection management

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Annette Day and Hilary Davis; NCSU Libraries; Charleston Conference 2010

Annette Day and Hilary Davis; NCSU Libraries; Charleston Conference 2010

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  • For the NCSU demographic data, we worked with the NCSU Office of University Planning and Analysis to get data on number of faculty, students and staff in each department on campus. We also collected data on grant dollars acquired by each department from another database maintained by NCSU’s Sponsored Programs office.
  • To connect library expenditures and data about departmentsMap subject fund codes to departmentsMake connections between library expenditures and department demographicsView expenditure data and department data next to each otherMapping was totally subjective – no right wayA Subject Identifier could be applied to more than one department.The expenditure amount associated with the Subject Identifier applies to departments in full (no weighting).Broad and narrow mappings – control scope of how codes are mapped to departments – make it a more broad mapping by including the general fund codes or make it more narrow by limiting to only the more specific fund codes.Example to make all this clear!
  • Investment in online journal backfiles over many yearsApproximately 90 backfile packagesHow to demonstrate value and impact of these purchasesUsageFiscal effectivenessi.e. were these good investments for campusNon traditional ROI approach Cumulative cost of archives compared to cumulative useLower cost per use over yearInvestment in backfiles pays for itself over time