Data collection
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Operational - Content Usage and Data Collection
Contents
1
audiences for published usage data
1.1
researchers
1.1.1
internal (Open.Michigan)
1.1.2
U-M
1.1.3
external (OCWC, OER, etc.)
1.2
OER users
1.2.1
U-M
1.2.2
external
1.3
OER creators
1.3.1
U-M
1.3.2
external
1.4
administrators
1.4.1
OCWC
1.4.2
U-M deans, provosts, etc.
1.4.3
external groups, institutions
2
Who else is collecting and/or publishing usage data? How are they using it?
2.1
MIT? (what do they produce and how?)
2.2
OCWC
2.3
Other organizations?
3
What data should we collect?
3.1
number of courses
3.2
number of files
3.3
most popular
3.4
least popular
4
At what level should we collect data?
4.1
Local
4.2
National
4.3
International
4.4
What can we gather in EduCommons?
4.5
What can we gather in Drupal?
5
How will we present the data?
5.1
Formats?
5.2
Visualizations
6
How should we present this data as marketing intelligence?
7
How should we integrate that presentation into our website?
8
How to tie data to our organizational goals?
audiences for published usage data
researchers
internal (Open.Michigan)
U-M
external (OCWC, OER, etc.)
OER users
U-M
external
OER creators
U-M
external
administrators
OCWC
U-M deans, provosts, etc.
external groups, institutions
Who else is collecting and/or publishing usage data? How are they using it?
MIT? (what do they produce and how?)
OCWC
Other organizations?
What data should we collect?
number of courses
number of files
most popular
least popular
At what level should we collect data?
Local
National
International
What can we gather in EduCommons?
What can we gather in Drupal?
How will we present the data?
Formats?
Visualizations
How should we present this data as marketing intelligence?
How should we integrate that presentation into our website?
How to tie data to our organizational goals?
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