Transcript ILL & Collection Development: Bringing in Bibliographers and

ILL & Collection
Development: Bringing in
Bibliographers and
Selectors
Stuart Frazer – Old Dominion
University
[email protected]
Perspectives
The library (and institution) appear very
different looked at from different
departments/units
 ILL data provide insight about
collections and customers
 ILL data provides the best information
about unmet customer needs available
to library decision makers
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Aggregated ILL borrowing
statistics
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Request stats by academic department and/or
call number: one measure of unmet needs
(squeaky wheel)
By lending library: upon whom do you rely?
By age of requested materials: one measure of
the effectiveness of approval plan or selectors
By types of materials requested: insight on
material types upon disciplines rely (journals,
books, conferences, grey literature)
“Raw” ILL requests (request
level data)
By department: Learn detailed information
about research interests/agenda
 By individual: Learn detailed information
about research interests/agenda
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 Privacy
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may be a concern here
By academic status (faculty/staff, grad
student, undergrad)
Applications
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Understanding user needs
Learning about faculty / student connections
Gain insight on materials relied on by users
within a discipline
Improve approval plan parameters
Inform journal & monograph purchasing
decisions
Adjust allocation of funds to departments
Assess cooperative resource sharing
agreements
Making it Work
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Good cooperative ties with bibliographers
and collection developers
Make data centrally available
 be willing to create customized data based on
what bibliographers/selectors ask for
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Good ILL management system w/patron
records designed with data mining in mind
 Make noise – talk about what you see
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ILL units are not just processing units!