Collection Intelligence : Using Data to Drive a Collections Program

Collection Intelligence : Using Data to Drive a Collections Program Annette Day Head, Collection Management North Carolina State University Libraries ALA Annual Conference June 25, 2011

Data and Collection Building • Increasing focus on analyzing and interpreting data • Data analysis is a key component in solving/managing: • Increasing pressure for accountability • Increasing precision in the way we build collections and expend resources • Advocacy

Collections and Data at NCSU • Using data to inform and articulate collections decisions • Overview of NCSU Libraries’ projects • Keep or Cancel – Journal Review • Monographic Use Study • Collections Views tool

Journal Review

Feedback Received • 1,365 users  700 submitted feedback • 12,710 title rankings • Lots of data; how to make sense of it all?! • Weighted approach • Minimize impact of ranking journals outside discipline/research • Cost per use • Additional data metrics

Example: Astronomy Letters

Processing the Feedback – Other metrics • Cost per use • Other data points • Use data • Impact factor • Publication and citation data • Resulting Formula • Sum of the following: • Average of 2 most recent years of use data • Number of cites • (2 x Number of publications) x (impact factor +1) • More weight to data points we valued highly and reflected journal’s relevance

Use Study Darby Orcutt and Genya O’ Gara

Getting the Data • 10 years of data • Pulled from our ILS • Crunched in Excel and Access • Sorted by call number • Color coded – for ease of review • RED denoted an item that averages more than 2 circs per year over its life in the collection. • YELLOW denoted an item that averages more than 1 (and up to 2) circs per year over its life. • WHITE denoted items not fitting a color category • LIGHT BLUE denoted an item that has circulated only 1 time ever. • DARK BLUE denoted an item that has never circulated.

Outcomes/Discoveries • Enabled us to make savings in our monographic acquisitions • 20% cut • Highlight selection areas for patron driven program • Not quite able to get that granular with our current PDA • Identify Trends! • Humanities circulation rise over time • Science and math circulate more heavily in first few years • Generally items will circulate at least once in five years

Collection Views Database Collection Expenditures to University Data

Data Portal

Outputs

Quick Comparison Tool

THANK YOU! ANNETTE_DAY@NCSU.EDU

Collection Intelligence : Using Data to Drive a Collections Program

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