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The HLG-MOS oversees and manages:

(blue star) Collaboration groups: Supporting Standards, Capabilities and CommunicationApplying Data Science and Modern Methods, Blue Skies and Machine Learning Community

(blue star) Modernisation Projects 2023: Data Governance for Interoperability Framework 2, Cloud for Official Statistics and ModernStats Carpentries

(blue star) Specialised topics: DIS, Data Collection, Data Editing and Confidentiality

(blue star) Modernisation Expert group meetings, workshops and seminars


(info) What is the HLG-MOS                   (info) HLG-MOS Outputs             (info) Modernstats Updates


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Generic Statistical Business Process Model (GSBPM) describes the core business processesundertaken by statistical organisations to produce statistical outputs. It is used by more than 50 organisations world wide. Read more here

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Generic Statistical Information Model (GSIM) describes the core pieces of information needed by statistical organisations to produce statistical outputs. Read more here

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Common Statistical Data Architecture (CSDA) is reference architecture and guidance for the modernisation of their processes and systems. Read more here

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Strategic Communication Framework is a guide for Statistical Organisations to the development and implementation of a communication strategy. Read more here

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Generic Activity Model for Statistical Organisations (GAMSO) extends and complements the GSBPM by describing overarching activities and processes to support the production of official statistical production. Read more here

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Common Statistical Production Architecture (CSPA) helps statistical organisation create interoperable tools to share within and between statistical organisations. Read more here

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Generic Statistical Data Editing Model (GSDEM) is intended as a reference for all official statisticians whose activities include data editing. Read more here

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Machine Learning for Official Statistics the 2019-2020 project continued as a collaboration community in 2021. Read more here

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Public web space of the UNECE High Level Group for the Modernisation of Official Statistics (HLG-MOS)

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HLG-MOS 2020 video 360p.mp4 | Click here to watch in YouTube | Click here to Watch in Vimeo

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2023 HLG-MOS Work Programme

2022 HLG-MOS Report

2022 HLG-MOS Work Programme

2021 HLG-MOS Report

2021 HLG-MOS Work Programme

2020 HLG-MOS Report

Report HLG-MOS Chief Statisticians meeting 29 January 2021

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May 2023 - Statistics Netherlands: Synthetic data opens up possibilities in the statistical field

Feb 2023 - GSBPM implementation National Statistics Office Georgia

July 2021 - UNECE: New framework sets out a strategic approach to statistical communication

UNECE: Machine learning paves the way for modern, efficient statistical production

Statistics Netherlands: CBS explores possible privacy preserving techniques

ESCAP: Asia-Pacific Guidelines to Data integration for Official Statistics

Please send your links to your articles on our work

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Machine Learning for Official Statistics

Clickables: GAMSO 1.2  |  GSBPM 5.1 | GSIM 1.2 

GSIM E-training

CSPA Service catalogue | CSPA 2.0

Statistical Metadata Glossary

Synthetic Data for Official Statistics: a starters guide

Modernisation Maturity Model and the Roadmap for Implementation

Human Resources and More...

Strategic Communication Framework




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The UNECE High-Level Group for the Modernisation of Official Statistics (HLG-MOS) was set up by the Conference of European Statisticians (CES) in 2010 to oversee and coordinate international work relating to statistical modernisation. It promotes standards-based modernisation of official statistics.

The HLG-MOS oversees modernisation projects and manages the models and tools needed to support modernisation in statistical organisations. It aims to improve the efficiency of statistical production, and help statistical organisations to produce outputs that better meet user needs. The HLG-MOS focuses on "cutting-edge" developments, working with those statistical organisations that are both willing and able to contribute. However, outputs are available to all, and other groups and organisations are encouraged to use these in their capcity-building work with less developed statistical systems.

Browse this wiki to find out about the goals and work of the HLG-MOS and its subsidiary bodies, and how you can become involved.

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titleThe members of the HLG-MOS are:
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  • Pádraig Dalton (Ireland) - Chairman
  • David Kalisch (Australia)
  • Anil Arora (Canada)
  • Giorgio Alleva (Italy)
  • Tjark Tjin-a-Tsoi (Netherlands)
  • Liz MacPherson (New Zealand)
  • Yoo, Gyeongjoon (Republic of Korea)
  • Genovefa Ružić (Slovenia)
  • Mariana Kotzeva (Eurostat)
  • Martine Durand (OECD)
  • Lidia Bratanova (UNECE) 

In addition, members of the Bureau of the Conference of European Statisticians can also join HLG-MOS meetings.

The chairs of the Executive Board, and the subsidiary groups can participate in HLG-MOS meetings as observers.

The UNECE also provides the secretariat (contact: support.stat@unece.org )

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titleThe role of the HLG-MOS

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The role of the HLG-MOS is formalised in its Terms of Reference. A broad vision and a strategy for implementing that vision have been formulated and agreed by the Conference of European Statisticians, and shape the group's work.

 

The objectives of the HLG-MOS are:

  • To promote common standards, models, tools and methods to support the modernisation of official statistics;
  • To drive new developments in the production, organisation and products of official statistics, ensuring effective coordination and information sharing within official statistics, and with relevant external bodies;
  • To advise the Bureau of the CES on the direction of strategic developments in the modernisation of official statistics, and ensure that there is a maximum of convergence and coordination within the statistical "industry".

 

These objectives are met in a number of ways:

  • Annual projects on topics identified as key priorities by the Statistical Modernisation Community
  • Expert groups, task teams and evaluation projects on specific themes related to statistical modernisation

Links to past and current projects can be found on the left of this page, and links to the expert groups are on the right.

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To see the Terms of Reference for these groups, click here

 

 

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What's Happening?

How to join the Statistical Modernisation Community?

 

Key Models

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Generic Statistical Business Process Model

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gsim

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CSPA

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Generic Activity Model for Statistical Organisations

 

 

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