Modernising Official Statistics – Recent and Future ... · Modernising Official Statistics –...
Transcript of Modernising Official Statistics – Recent and Future ... · Modernising Official Statistics –...
United Nations Economic Commission for Europe Statistical Division United Nations Economic Commission for Europe Statistical Division
Modernising Official Statistics – Recent and
Future Initiatives
Steven Vale UNECE
UNECE Statistics: Priorities
Population censuses, migration, gender Globalisation, National Accounts,
employment, business registers Sustainable development,
environmental accounts, climate change
Modernisation
Introducing the HLG
High-level Group for the Modernisation of Official Statistics
Created by the Conference of European Statisticians in 2010
Vision and strategy endorsed by CES in 2011/2012
Who are the HLG members?
Ireland - Chair Australia Canada Italy Netherlands New Zealand Republic of Korea Slovenia
Eurostat OECD UNECE
What does the HLG do?
Oversees activities that support modernisation of statistical organisations
Stimulates development of global standards and international collaboration activities
“Within the official statistics community ... take a leadership and coordination role”
Why is the HLG needed?
Before the HLG Now
Many expert groups Clear vision
Little coordination Agreed priorities
No overall strategy Strategic leadership
Limited impact Real progress
These challenges are too big for statistical organisations to
tackle on their own
We need to work together
Using common standards, statistics can be produced
more efficiently
No domain is special!
Do new methods and tools support this vision, or do they
reinforce a stove-pipe mentality?
Big Data
Data sources with high volume, velocity and variety of data, which require new tools and methods to
capture, curate, manage, and process them in an efficient way
Source: UNECE and UNSD
Priority Areas
Partnerships – Guidelines Privacy – Guidelines Quality – Guidelines Skills – Survey IT / methodological issues - Sandbox
Sandbox
The Irish Centre for High-end Computing hosts the UNECE Big Data ‘sandbox’ containing data and tools for international experiments
“Play is the highest form of research” – Einstein
UNECE Big Data Wiki: http://www1.unece.org/stat/platform/display/bigdata
Some other key outputs
Generic skills profile for data scientists
Papers on • “Machine learning” in statistical organistions • Marketing official statistics • Intellectual property • Risk and change management
Generic Activity Model for Statistical Organisations (GAMSO)