Conference of European Statisticians 2014 High-level Group for the Modernisation of Statistical Production and Services Pádraig Dalton Central Statistics Office Chair of HLG April 10, 2014
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Transcript Conference of European Statisticians 2014 High-level Group for the Modernisation of Statistical Production and Services Pádraig Dalton Central Statistics Office Chair of HLG April 10, 2014
Conference of European
Statisticians 2014
High-level Group for the
Modernisation of Statistical
Production and Services
Pádraig Dalton
Central Statistics Office
Chair of HLG
April 10, 2014
High-level Group
• Created by the CES bureau in 2010
• To oversee and coordinate international work relating to
the modernisation of official statistics
• 10 heads of national and international statistical
organizations
• Vision and strategy endorsed by CES in 2011/2012
• Engagement goes way beyond formal membership of HLG
• Over 40 countries involved in HLG activities
What do we do?
Oversee activities that support modernisation of statistical
organisations
Stimulate development of global standards and oversee
international collaboration activities
“Within the official statistics community ... take a
leadership and coordination role”
HLG achievements to 2013
• 2012: Generic Statistical Information Model (GSIM)
• 2013 Paper: What does Big Data mean for official
statistics
• 2013 Projects:
• Common Statistical Production Architecture
• Frameworks and Standards for Statistical Modernisation
Development of a Common
Statistical Production Architecture
Project Outcomes
Conceptual architecture framework for sharable
components of statistical production
Tested in practice in a “proof of concept”
This showed that the CSPA approach works
It promises increased:
interoperability
collaboration opportunities
CSPA Development Project
Project Outcomes
Mappings
Fundamental
Principles
of Official
Statistics
Frameworks and Standards Project
HLG activities in 2014
• Implementing the Common Statistical Production
Architecture
• The use of Big Data for official statistics
• 4 Modernisation committees
• Organisational frameworks and evaluation
• Production and methods
• Products and sources
• Standards
Implementing the CSPA
Components being built
1. Seasonal Adjustment – France,
2.
3.
4.
5.
6.
7.
8.
Australia, New Zealand
Confidentiality on the fly – Canada, Australia
Error correction – Italy
SVG Generator – OECD
SDMX transform – OECD
Selecting sample from business register –
Netherlands
Editing components – Netherlands
Classification Editor – Norway
Architecture Working
Group:
Australia, Austria, Canada,
France, Italy, Mexico,
Netherlands, New
Zealand, Turkey, Eurostat
Catalogue team:
Australia, Canada, Italy,
Hungary, New Zealand,
Romania, Turkey, Eurostat
Big Data
Background
HLG paper for 2013 CES Plenary Session
“What does Big Data mean for official statistics?”
CES gave priority to work on:
“facilitating the use of Big Data for official statistics”
Big Data is a priority project for 2014, involving:
Australia, Austria, Azerbaijan, Canada, Colombia, Hungary,
Ireland, Italy, Mexico, Netherlands, New Zealand, Poland,
Sweden, United Kingdom, United States, Eurostat, OECD
Strategic / methodological issues
April 2014 - key challenges identified:
The need for a quality framework for Big Data
Managing privacy and data security
Developing partnerships with data suppliers, processors
and users
Developing methodology for Big Data
Developing the skills needed to use Big Data
Currently establishing task teams to tackle these issues
Volunteers welcome!
Reports / guidelines by the end of 2014
Technical issues
“Sandbox” will be launched next week
Testing remote access / processing
Testing standards, methods, tools
“Learning by doing”
HLG Activities 2014: Wider involvement
HLG roadmap beyond 2014
• Implementing common standards and
models for the official statistics “industry”
• Promoting collaboration and sharing
• From the design stage, not just the outputs
• Modular systems giving increased flexibility
for new sources / processes / outputs
But what is the HLG really all about?
How can we unite globally to create a new model of collaboration?
Lidia Bratanova, UNECE
There is more reason to work together now than ever before
Gosse van der Veen, formerly CBS, The Netherlands
There is a real opportunity, it’s a challenging opportunity, and its
not obvious that we will succeed
Wayne Smith, Statistics Canada
The biggest challenge is a cultural one, not only between our
institutions but within our own institutions
Brian Pink, formerly Australian Bureau of Statistics
Collaboration is the key word
If I have seen further it is by standing on the
shoulders of giants
Isaac Newton
Collaboration: Easy to say but difficult to do…effectively
There are a lot of players
National and international statistical organisations
There is a real willingness to collaborate
We need to identify mechanisms to ensure we do it
effectively
Activities must compliment one another, not duplicate
Stating the obvious…..but that’s not always a bad thing!
Awareness is the starting point
Who should coordinate these initiatives?
Resourcing HLG activities
HLG projects are mainly resourced through
volunteer experts
On-going need for coordination and project
management activities, funded by donations
The UNECE Secretariat has set up a trust fund
We need $180,000 per year to support the current
level of progress
How can you help?
Discussion Points
What are your priorities for future work on
modernisation of statistics?
How can we collaborate more effectively and
ensure maximum return from the various
initiatives?
To what extent do HLG activities align with your
respective modernisation programmes?
How can you get involved and support HLG
activities?