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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 [email protected]

Modernising Official Statistics – Recent and Future ... · Modernising Official Statistics – Recent and Future Initiatives Steven Vale UNECE . [email protected] . UNECE Statistics:

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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

[email protected]

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

The Challenges

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?

Standards-based Modernisaton

Problem statement: Specialised business processes, methods and IT systems for each survey / output

With a Common Architecture

Big Data

In the last 2 years more information was created than in the whole of the rest of human history!

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)

New projects – agreed last week

(will be added in later stage)

(will be added in later stage)

Get involved! Anyone is welcome to contribute! More Information HLG Wiki: www1.unece.org/stat/platform/display/hlgbas

LinkedIn group: “Modernising official statistics”