Presentation at the 2012 Charleston Conference by Annette Day, John Vickery, and Hilary Davis

1. Accidental Collection Assessment:
the NCSU Libraries Collection Move
Charleston Conference
November 8, 2012
Annette Day, Hilary Davis, John Vickery
North Carolina State University Libraries

2. “The best learning and collaborative space in the country”
• Supporting Engineering, Computer Science and Textiles disciplines
– Embody the spirit of NC State's competitive advantage in science and technology
• Technology Incubator
– Computing, learning, and collaboration tools
• Learning Spaces
– Tailored to the demands of the user community
– 100 bookable group study rooms
• Address Study Seat Gap
– Currently seat less than 5% of NC State students
– UNC system standard is 20%
• bookBot
– Automated Retrieval System - 2 million volumes
– Maximize learning & technology spaces in building
NCSU Libraries

3. Collections at Hunt - bookBot
Collections Storage for library system
– Working collections for Hunt disciplines
– Older materials across all disciplines
• Monographs
• Journal backfiles
– Government documents
– Microfiche
– Special Collections
– “Ingest” 1.4 million volumes by opening
• Every volume needs a barcode
• Scanned and placed in barcoded bin
– Collections requested through catalog
• Virtual browse
• Estimate 10 min retrieval time
• Delivery services
NCSU Libraries

4. Collections at Hunt – open shelving
Approx 28,000 volumes
• Monograph collection 2007 – present
• Current journals
• Newspapers
• Classics in Engineering & Textiles
• Faculty publications
• Reference
• Games/Videos
• Fiction
NCSU Libraries

5. Goals of move
• Minimize “Downtime” of
Collections
• Minimize Patron
Disruption
• Transparent
Communication
NCSU Libraries

6. Staggered move strategy
NCSU Libraries

7. Scope of collections move
NCSU Libraries

8. Composition of Collections
Rendering
October 2012
NCSU Libraries

9. Bumps in the road
Courtesy of Flickr member Cogdogblog
NCSU Libraries

10. Data strategies
Courtesy of Flickr member Gonzalo AR
NCSU Libraries

11. Scaling up our analytics
NCSU Libraries

12. 5 reasons SAS® is awesome
1. You are in control of how you work with your data
2. You can read data from any source
3. Big data is no problem
4. Robust and customizable reporting functionality
5. Visualization functionality
NCSU Libraries

13. Keeping the move in sync
NCSU Libraries

14. Planning: from 3.5 million to 1
NCSU Libraries

15. Example: estimating use and impact
• How frequently will items be requested out of
the bookBot?
• What types of users are most affected?
• How many people do we need staffing the
bookBot stations?
NCSU Libraries

16. Ugly data
E201207111058160073R
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AC^UkZLWHITE^NQS01285303M^IQM1500 .W13
W35 1991
v.2^IS1^DHNO^HB1/7/2013^HELIBRARY^HFN^HI
N^HKCOPY^HODHHILL^dC3^Fv3000000^^O|UND
ERGRAD|NDS|NCSUSTAFF||||
1207021249290010R
^S82CVFFSTANDALONE^FEDESIGN^NQS02421189
R^OM^Fv200000^DB20120702124929^^O00084|
GRAD|ID|||||
NCSU Libraries

17. From ugly data to analytics
NCSU Libraries

18. From ugly data to analytics
NCSU Libraries

19. From ugly data to analytics
NCSU Libraries

20. Example: forecasting future growth
• We have extra space!
• How fast are we going to fill it up?
• How should we arrange the stacks?
• “Can you tell me exactly how full DH Hill will be
in 15 years?”
NCSU Libraries

21. Example: forecasting future growth
NCSU Libraries

22. Example: forecasting future growth
NCSU Libraries

23. What did we learn!
• Large scale move is challenging
• Planning is essential
• Cross-departmental collaboration
• Skills to match data analysis needs
NCSU Libraries

24. Thank You!
Annette Day
Head, Collection Management
annette_day@ncsu.edu
John Vickery
Collection Manager, Management & Social Sciences
john_vickery@ncsu.edu
Hilary Davis
Associate Head, Collection Management &
Director of Research Data Services
hilary_davis@ncsu.edu
NCSU Libraries