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Managing data to maximise value
Supporting flexible and efficient production of
official statistics
Adam Brown
December 2012
Statistics 2020 – Te Kāpehu Whetū
Benefits of managing statistical information
Vision
Steps to the future
Experiences
Building an ecosystem across the OSS
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Statistics 2020 – Te Kāpehu Whetū
Nine year programme of change
Transforming the way that Official Statistics are
delivered
•
•
•
•
Efficiency
Data is able to be re-used
Work across the entire OSS
A sustainable organisation
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Managing statistical information
‘Metadata’ - information describing aspects of the
statistical business process and the resulting data
and statistics
Metadata Infrastructure project
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Data is expensive – re-use is vital
Flexible and efficient
Respond to changing user needs
Reduce ‘time to market’
Reduce re-work and duplication of effort
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To enable this we need to ensure …
Data is easily discoverable
Data definitions (e.g. classifications) are standardised
Consistent and comprehensive high quality metadata is
captured throughout the statistical production process
The ability to easily and flexibly reuse metadata across
systems – capture once use many times
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Vision
Information required to support statistical production is
easily available to be used and reused, and where it
doesn’t yet exist, is easy to create
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Look
Reuse
Create
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Look
How well is the
mining industry
doing in New
Zealand? How
much did they earn
in sales last year?
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Look
How well is the
mining industry
doing in New
Zealand? How
much did they earn
in sales last year?
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Reuse
Existing
definitions
of mining
Industrial
classification
How well is the
mining industry
doing in New
Zealand? How
much did they earn
in sales last year?
Census of
Mining
data
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Create
The New Mining Survey
ANZSIC
2006
How well is the
mining industry
doing in New
Zealand? How
much did they earn
in sales last year?
New
concept of
mining
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Delivering change
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1. Know what we’ve got
Identify the information and data that is held by the
organisation
Find out what can be re-used, where it is located and
key considerations for use
Retention, Preservation and Disposal statements
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2. Know how to use it
Simple templates to capture information about
context and definitions for data
Central shared system to enable discovery of
information in a single authoritative resource
Content guidelines
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3. Put the information to work
Create documentation
Share information with processing and dissemination
systems
Make new connections
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Micro Economic Platform
Collection Platform
Macro Economic Platform
Stats.govt.nz
Dissemination Platform
Social & Population Platforms
Process system n
Analyse system n
Metadata
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4. Improve development of new
components
New classification management system in
development
Prototype questionnaire design tool
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5. Harmonisation
Terminology
• How do we define a concept, variable?
Definitions
• 27 definitions of income!
• Implicit to explicit
Structure
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Our approach
Utilise standards where they work for us
Use what is available
Staged approach – learn as we go
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OSS metadata ecosystem
Data management
support
Colectica pilot
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Confidentiality and
privacy advice
Data Archive
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