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The HLG-MOS oversee oversees and managemanages:

(blue star) Four collaboration Collaboration groups: Supporting Standards,  SharingDeveloping Organisational CapabilityBlue SkiesCapabilities and CommunicationApplying Data Science and Modern Methods, Blue Skies and Machine Learning Community

(blue star) Modernisation Projects 2019: Machine Learning and Strategic Communication Framework phase 22023: Data Governance for Interoperability Framework 2, Cloud for Official Statistics and ModernStats Carpentries

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

(blue star) Modernisation Expert group meetings, workshops and seminars(blue star) Modernisation 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 2021Space managed by: Taeke Gjaltema

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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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