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  1. Specify needs
1.1 Determine needs for information

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1.2 Consult and confirm needs

 

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1.3 Establish output objectives

 

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1.4 Identify concepts

 

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1.5 Check data availability

 

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1.6 Prepare business case

 

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 2. Design
2.1 Design outputs

 

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2.2 Design variable descriptions

 

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2.3 Design data collection methodology

 

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2.4 Design frame and sample methodology

 

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2.5 Design statistical processing methodology

 

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2.6 Design production systems and workflow

 

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 3. Build
3.1 Build data collection instrument

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3.2 Build or enhance process components

 

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3.3 Configure workflows

 

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3.4 Test production system

 

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3.5 Test statistical business process

 

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3.6 Finalize production system

 

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 4. Collect
4.1 Select sample

 

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4.2 Set up collection

 

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4.3 Run collection

 

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4.4 Finalize collection

 

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 5. Process
5.1 Integrate data

 

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5.2 Classify and Code

 

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5.3 Review, validate and edit

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5.4 Impute

 

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5.5 Derive new variables & statistical units

 

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5.6 Calculateweights

 

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5.7 Calculate aggregates

 

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5.8 Finalize data files

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 6. Analyse
6.1 Prepare draft outputs

 

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6.2 Validate outputs

 

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6.3 Scrutinize and explain

 

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6.4 Apply disclosure control

 

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6.5 Finalize outputs

 

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 7. Disseminate
7.1 Update output systems

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7.2 Produce dissemination products

 

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7.3 Manage release of dissemination products

 

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7.4 Promote dissemination products

 

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7.5 Manage user support

 

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 8. Archive
8.1 Define archive rules

 

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8.2 Manage archive repository

 

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8.3 Preserve data and associated metadata

 

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8.4 Dispose of data and associated metadata

 

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 9. Evaluate
9.1 Gather evaluation inputs

 

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9.2 Conduct evaluation

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9.3 Agree action plan

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