41 SPEC Kit 352: Collection Assessment
Varies from annually to as requested, often in connection with collection management projects.
Varies: monthly or as needed
Varies. E-resource data is gathered twice a year. Other data is gathered annually or as needed.
We also collect anonymized transactional data on a daily basis.
Weekly, daily
38. How accessible is the data that is collected to those who are directly responsible for collection
evaluation? N=66
Most, if not all data is easily accessible directly to those responsible 23 35%
Some data is accessible directly, other data upon request 23 35%
Most, if not all data is made accessible upon request 11 17%
Some data is accessible upon request, other data not accessible at all 4 6%
Most data is not accessible at all 0 0%
Other level 5 8%
Please briefly describe the other level of accessibility. N=5
Data for physical collections at level wanted is not currently available electronic use data is available on
request but we hope to push it out regularly.
Most data is directly available, but not necessarily organized in a way that makes it easy for those who
might want to use it to find or manipulate it, so it’s accessible, but not easily accessible.
Most of the data is accessible directly to those responsible, but it is not necessary “easily” accessible.
E-collection data is easily accessible through Intota Assessment. Print collection data is available
through the use of Brioquery or Cognos to query the data warehouse. We make various “canned”
reports available to make access to the data easier.
Some data is accessible directly, other data upon request. A system for the data of interlibrary loan
services was instituted for ease of accessibility.
We collect our data and share it on common drives and our Intranet, so that our staff can view the data
we collect.
39. Are there tools for data collection that you would like to have at your institution that do not
currently exist? N=60
Yes 42 70%
No 18 30%
If yes, please briefly describe what this tool would do. N=41
A cloud-based service to aggregate—and validate—data on serials expenditure and usage, allowing us
to arrive at a cost per use per full-text title and per database in a reliable and transparent way. Serials
Solutions Intota system seems inadequate to this task. Additionally, integration of collections data into
the university’s data warehouse could allow us to identify types of users (based on school/department
affiliation, status, etc.), which we currently lack the ability to do.
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