Versions Compared

Old Version 130

changes.mady.by.user Taeke Gjaltema

Saved on

compared with

New Version 131

changes.mady.by.user Taeke Gjaltema

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.


The HLG-MOS oversee and manage:

(blue star) Collaboration groups: Standards, Capabilities and Communication, Blue Skies and Machine Learning Community

(blue star) Modernisation Projects 2021: Synthetic Data and Input Privacy-Preservation

(blue star) Specialised topics: DIS, Collection, sde and confid

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


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


Section
Column
Section
Column

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

Column

Section
Column

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

Column




Section
Column

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

Column

image2018-11-20_17-50-20.png

Section
Column

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

Column
Column
Section
Column

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

Column

 

Section
Column

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

Column
Section
Column

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

Column

image2018-11-20_17-50-20.png

Section
Column

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

Column

ML page2.png



Panel
borderColor#37a1cb
titleColor#ffffff
borderWidth2
titleBGColor#37a1cb
titleBlog on Recent highlights and updates


Blog Posts
time104w78w
reversetrue
Column
width25%

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


Panel
borderColor#1b75bb
titleColor#e9f4fc
borderWidth2
titleBGColor#1b75bb
titleModernStats in the News

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

Statistics Netherlands: CBS explores possible privacy preserving techniques

Please send your links to your articles on our work


Panel
borderColor#37a1cb
titleColor#ffffff
borderWidth2
titleBGColor#37a1cb
titleBlog on Recent highlights and updates

Blog Posts
max5
time52w
contenttitles

Panel
borderColor#37a1cb
titleColor#ffffff
borderWidth2
titleBGColor#37a1cb
titleSuggested Resources and Tools

new: 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

Modernisation Maturity Model and the Roadmap for Implementation

Human Resources and More...

Strategic Communication Framework


Panel
borderColor#37a1cb
titleColor#ffffff
borderWidth2
titleBGColor#37a1cb
titleKey Documents

2021 HLG-MOS Work Programme

2020 HLG-MOS Report

Report HLG-MOS Chief Statisticians meeting 29 January 2021



Section
Column


Column


CSS Stylesheet
#shareContentLink {display: none;}
#comments-section {display: none;}
#labels-section {display: none;}
#likes-section {display: none;}
#children-section {display: none;}
#theme-header {display: none;}