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Latest revision as of 20:55, 22 March 2012
- Determine hierarchal structure of locations
- Identify user roles
- Developing workflow procedures surrounding data approval and lock-down
- Monitoring the data input/capture process
- Managing communications with participants
- Identify Data Sources
- Focus on Outputs
- Define the data elements to ensure consistent quality data capture
- Structure data sets and views for ease of:
- input
- capture
- reporting
- repurposing
- Collect samples of reports that use your statistical data
- Build a collection model
- Configure participating locations
- Create user accounts
- Assign user roles
- Create Collections
- add sections/groupings, add Performance Indicators
- Import data
- Structuring data sets for ease of data input/capture, reporting and repurposing
- Describe each collection, section, and data element to ensure consistent quality capture of results
- Use data element settings to ensure consistent quality data capture
- edit checks
- formats
- roll-ups
- prefill
- Create Derivatives and Key Performance Indicators
- Create Report Views to simplify the analysis of captured results
- Identify workflow procedures and users involved in the data approval and lock‐down process
- Verify data and confirm calculations