1. Managing data to maximise value Supporting flexible and efficient production of official statistics Adam Brown December 2012

2. Statistics 2020 – Te Kāpehu Whetū Benefits of managing statistical information Vision Steps to the future Experiences Building an ecosystem across the OSS 6/03/20162

3. Statistics 2020 – Te Kāpehu Whetū 6/03/20163 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

4. Managing statistical information ‘Metadata’ - information describing aspects of the statistical business process and the resulting data and statistics Metadata Infrastructure project 6/03/20164

5. Data is expensive – re-use is vital

6. 6/03/20166 Flexible and efficient Respond to changing user needs Reduce ‘time to market’ Reduce re-work and duplication of effort

7. 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 6/03/20167

8. 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 6/03/20168

9. 9 LookReuseCreate

10. How well is the mining industry doing in New Zealand? How much did they earn in sales last year? 10 Look

11. How well is the mining industry doing in New Zealand? How much did they earn in sales last year? 11 Look

12. How well is the mining industry doing in New Zealand? How much did they earn in sales last year? 12 Reuse Census of Mining data Existing definitions of mining Industrial classification

13. 13 Create How well is the mining industry doing in New Zealand? How much did they earn in sales last year? The New Mining Survey ANZSIC 2006 New concept of mining

14. Delivering change 6/03/201614

15. 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 6/03/201615

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17. 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 6/03/201617

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24. 3. Put the information to work Create documentation Share information with processing and dissemination systems Make new connections 6/03/201624

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26. 4. Improve development of new components New classification management system in development Prototype questionnaire design tool 6/03/201626

27. 5. Harmonisation Terminology How do we define a concept, variable? Definitions 27 definitions of income! Implicit to explicit Structure 6/03/201627

28. Our approach Utilise standards where they work for us Use what is available Staged approach – learn as we go 6/03/201628

29. OSS metadata ecosystem Data management support Colectica pilot Confidentiality and privacy advice Data Archive 6/03/201629