XXX Annual Charleston Conference
November 2010
Looking forward by looking back:
Books at the end of the book
Never let a good crisis go to waste!
Background
 Diminished fiscal resources
 Rapid shift towards digital formats
 Last opportunity to capture use-data from...
Questions
 Can historic use of print
books predict e-book use?
 How might electronic
availability change use
patterns wi...
The data!
Examined 10-year period from 1997-2007
Date book added to catalog
Unique number
Date the item last circulated...
Data issues
 Consistency
 Database migration
 Acquisitions
 Approval plan
 Circulation total and last date circulated...
Organization
 Broken into out
by LC range into
subject specific
spreadsheets
 Two tabs
included. Tab1:
all 10 years of
d...
Color coding
We color-coded the spreadsheets in the following way:
 RED denoted an item that averages more than 2 circs p...
_1 _2 _3 _4 _5 _6 _7 _8 _9 _10
Am I Hot or Not?
Review Guidelines
No one right way
Sheer use only a starting point
Approval plan should catch “must-
haves”
Easy! (er…sometimes)
 Many call number ranges were not obvious
candidates for slip or approval and then selectors
had to ...
Funds (the money)
 Each selector determined cuts of 20% and 40%
from their funds.
 Approximate money saved based on prev...
Estimating savings
Management benefits
Training
Holism
Breadth of users
Usefulness of approval plans
Preliminary Results
We were able to…
 Identify Savings!
 20% and 40% cuts
 Only had to take 20%!
 Identify Themes !
 Humanities circulati...
Philosophy, Psychology, Religion
Social Sciences
Science
Collection Circulation Status
Purchase on demand program
 If an electronic title is opened 5 times NCSU Libraries
automatically purchases it
 Catalog ...
E-use patterns
 Can monographic use patterns predict e-use
patterns?
 Not enough data yet!
 Sample data trends towards ...
Future Studies
 Comprehensive examination of use via publisher
 Use data to select efficiently
 Baseline for studies to...
Contact
 Darby Orcutt darby_orcutt@ncsu.edu
 Genya O’Gara genya_ogara@ncsu.edu
Looking forward by looking back: Books at the end of the book
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Looking forward by looking back: Books at the end of the book

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  • It is also important to note that we kept an “exceptions” spreadsheet of items that resisted mapping to a FUND. These items amounted to less than 1% of all items and the list was made available to all of the selectors.

    The threshold of more than 1 circ per year was selected based on the general rule of thumb that, especially for items available within our consortia, the Triangle Research Libraries Network (TRLN), borrowing through ILL up to once per year would cost less than acquiring, storing, and preserving a copy of our own.

  • Transcript of "Looking forward by looking back: Books at the end of the book"

    1. 1. XXX Annual Charleston Conference November 2010 Looking forward by looking back: Books at the end of the book
    2. 2. Never let a good crisis go to waste!
    3. 3. Background  Diminished fiscal resources  Rapid shift towards digital formats  Last opportunity to capture use-data from a primarily print monographic world
    4. 4. Questions  Can historic use of print books predict e-book use?  How might electronic availability change use patterns within different disciplines?  How might historic use data inform decision-making with regard to new models?
    5. 5. The data! Examined 10-year period from 1997-2007 Date book added to catalog Unique number Date the item last circulated LC call number Total charges Price (total and unit) Title Series Edition Firm order/approval order/gift Author Publish year/publisher Binding (cloth or paper) Current status (checked out, stacks, removed) Library (branch or main) that holds the title
    6. 6. Data issues  Consistency  Database migration  Acquisitions  Approval plan  Circulation total and last date circulated included -- no other dates tracked  Human error
    7. 7. Organization  Broken into out by LC range into subject specific spreadsheets  Two tabs included. Tab1: all 10 years of data  Tab2: approval items from the last 2 ½ years
    8. 8. Color coding We color-coded the spreadsheets in the following way:  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 (see below).  LIGHT BLUE denoted an item that has circulated only 1 time ever.  DARK BLUE denoted an item that has never circulated.
    9. 9. _1 _2 _3 _4 _5 _6 _7 _8 _9 _10 Am I Hot or Not?
    10. 10. Review Guidelines No one right way Sheer use only a starting point Approval plan should catch “must- haves”
    11. 11. Easy! (er…sometimes)  Many call number ranges were not obvious candidates for slip or approval and then selectors had to determine why.  Publisher?  Sub-topic?  Series?  Many many other reasons?
    12. 12. Funds (the money)  Each selector determined cuts of 20% and 40% from their funds.  Approximate money saved based on previous 2 years  Estimate cuts from approval and firm  Net amount “saved” subtracted from approval plan  Balance work of selecting--not simply move wholesale to an item-by-item selection
    13. 13. Estimating savings
    14. 14. Management benefits Training Holism Breadth of users Usefulness of approval plans
    15. 15. Preliminary Results
    16. 16. We were able to…  Identify Savings!  20% and 40% cuts  Only had to take 20%!  Identify Themes !  Humanities circulation tends to rise over time  Science and math tend to circulate more heavily initially  OVERALL non-circulating items are likely to circulate after 5 years the collection
    17. 17. Philosophy, Psychology, Religion
    18. 18. Social Sciences
    19. 19. Science
    20. 20. Collection Circulation Status
    21. 21. Purchase on demand program  If an electronic title is opened 5 times NCSU Libraries automatically purchases it  Catalog titles are not removed  Some schools are dropping titles that aren’t requested or “opened” within 6 mos.  Our study indicates that, across disciplines, this will leave users without access to needed titles, if print use is indicative of e-book use
    22. 22. E-use patterns  Can monographic use patterns predict e-use patterns?  Not enough data yet!  Sample data trends towards yes in some disciplines  In QA call ranges for the subject area math, with use counted as pages viewed, high use and low use ranges line up closely with ebrary use since 2005  In B and BJ ranges for the subject area philosophy no discernable pattern is recognizable
    23. 23. Future Studies  Comprehensive examination of use via publisher  Use data to select efficiently  Baseline for studies to examine change in use patterns as e-titles increase  (Continue to) examine, across disciplines, whether or not print use predicts e-use
    24. 24. Contact  Darby Orcutt darby_orcutt@ncsu.edu  Genya O’Gara genya_ogara@ncsu.edu

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