Data collection

From openmichigan

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Revision as of 12:24, 20 October 2011

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?