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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

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Collection Intelligence : Using Data to Drive a Collections Program

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  1. 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

  2. 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

  3. 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

  4. Journal Review

  5. 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

  6. Example: Astronomy Letters

  7. 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

  8. Use Study Darby Orcutt and Genya O’ Gara

  9. 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.

  10. 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

  11. Collection Views Database Collection Expenditures to University Data

  12. Data Portal

  13. Outputs

  14. Outputs

  15. Outputs

  16. Outputs

  17. Quick Comparison Tool

  18. THANK YOU! ANNETTE_DAY@NCSU.EDU

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