Access to EIS elsewhere on campus

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Access to EIS: Statistics
Statistics which may help you to evaluate the access to EIS can be divided into: access
in the library; access elsewhere on campus; and off-campus access.
Further details about the collection of statistical data will be added via the e-measures
project. In particular, how to count the number of virtual visits.
Access to EIS in the library
Measures you might collect include:

Number of open access workstations

Number of workstation-hours per week

Queuing times for access to workstations

OPAC response times

Number of non-remote logins to the library webpages

Number of workstations more than 3 years old

Network downtime (and notice given about downtime)
You might use these measures to create the following performance indicators:

Number of library computer workstations per FTE student (broken down by
user group eg undergraduates; postgraduates)

No of PC hours available per user

Number of non-remote logins to the library webpages per FTE student

Ratio of virtual and actual visits
Access to EIS elsewhere on campus
Statistics you might collect include:

Number of networked computers on campus

Total number of network access points

Number (or percentage) of classrooms with at least one computer

Number (or percentage) of classrooms that have access to the campus
network

Number (or percentage) of faculty offices connected to the campus network

Number (or percentage) of admin offices connected to the campus network

Number (or percentage) of student rooms connected to the campus network
You might use these measures to create the following performance indicators:

Average number of computers per networked classroom

Average number of logons per networked classroom

Number of networked computers per FTE student

Number of network access points per FTE student
Access to EIS off campus
Statistics you might collect include:

Number of remote logins to the library webpage

Number of students owning their own PC
You might use these measures to create the following performance indicators:

Number of remote logins to the library webpages per user

Percentage of total sessions which are remote for services
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