United Nations Economic Commission for Europe Statistical Division A Generic Statistical Business Process Model METIS Work Session, Luxembourg, 9-11 April 2008

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Transcript United Nations Economic Commission for Europe Statistical Division A Generic Statistical Business Process Model METIS Work Session, Luxembourg, 9-11 April 2008

United Nations Economic Commission for Europe
Statistical Division
A Generic Statistical
Business Process Model
METIS Work Session, Luxembourg, 9-11 April 2008
Contents
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Why do we need a model?
The Statistics New Zealand model as a
starting point?
Open issues
Next steps
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 2
Why do we need a model?
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We use different terminology for the
steps in the statistical production process
This can cause confusion
Standard terminology for the statistical
production process will help
standardization of metadata terminology
This is foreseen in work on Part C of the
Common Metadata Framework
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 3
The Statistics New Zealand model
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 4
Key features
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Identifies different steps of the statistical
production process
Applies to statistical production
regardless of the data source
Seven steps (two more proposed)
Three levels of detail
Other countries are adopting similar (or
same) models
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 5
Next Steps – if approved
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Written comments from METIS
participants by the end of May 2008
UNECE to prepare a new draft in
consultation with the Steering Group
New draft circulated for comments in
autumn 2008
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 6
Open issues
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Is such a model useful?
Do we need all three levels of detail?
Should the top level terminology be
proposed as a SDMX cross-domain
concept?
07 November 2015
Steven Vale - UNECE Statistical Division
Slide 7