WebEx instruction for workshop participants

The workshop will be held via Webex. Please follow instructions in How to Join WebEx to join the virtual workshop.

  • When you join WebEx, you will be asked to provide "name" and "email", please use country/organisation, first name and last name as "name" (e.g. UNECE_InKyung Choi). If you want to change the name after log-in, please check this instruction or this image.
  • For smooth proceeding, please mute microphone (except when you speak) and turn off camera.
  • If you don’t hear any sound, the sound quality is bad, or others can't hear you, please double check your device connection. See detailed instructions at Webex Audio Troubleshooting
  • If you have any problem or question about connection during the workshop, please send a chat message to UNECE
PROGRAMME

* time is in Central European Time (CET), Geneva time

Day 1 - October 27

Time (CET)PresentationSpeakerDocuments
14:00Opening of the workshopTaeke Gjaltema (UNECE)Presentation
14:05Opening of the workshopMarina Signore (Istat, Italy)Presentation
14:10Introduction to GSBPMCarlo Vaccari and Marina Signore (Istat, Italy)Presentation
14:45Q&A
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15:00Overall Review of Statistical Production Processes from the GSBPM perspective: The Case of KyrgyzstanOmurbek Ibraev (National Statistics Committee, Kyrgyzstan)

Paper

Presentation

15:15Managing VUCA with VUCA in Statistics IndonesiaJoko Parmiyanto (BPS, Indonesia)

Abstract

Presentation

15:30Q&A
-
15:40Break
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15:50New development from HLG-MOS Modernisation Group - Geospatial task teamJuan Munoz (INEGI, Mexico)

Abstract

Presentation

16:05Ireland – a new approach to monitoring the COVID-19 Outbreak through geostatistical visualisation Kevin McCormack (Central Statistics Office, Ireland)

Abstract

Presentation

16:20Using GSBPM for production of geospatial dataJuan Munoz (INEGI, Mexico)

Abstract

Presentation

16:35Q&A
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16:50General discussion on GSBPM

-

17:10Closing of the day
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Day 2 - October 28

Time (CET)PresentationSpeakerDocuments
14:00Introduction to GSIM Jenny Linnerud (Statistics Norway)Presentation
14:15Q&A
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14:20New development from HLG-MOS Modernisation Group - Linking GSBPM and GSIM task teamFlavio Rizzolo (Statistics Canada)

Abstract

Presentation

14:35New development from HLG-MOS Modernisation Group - GSIM task teamFrancine Kalonji (Statistics Canada)

Abstract

Presentation

14:50Q&A

15:00Break

15:10Defining a practical approach to realize a Statistical Datawarehouse platform using GSBPM and GSIMFreddy Maetens (Flanders Statistical Authority)

Abstract

Presentation

15:25GSBPM, GSIM, GAMSO! OMG!Andrea Petres (Statistics Hungary)

Abstract

Presentation

15:40Data architecture for statistical modernization: an integrated approachFlavio Rizzolo (Statistics Canada)

Abstract

Presentation

15:55Q&A
-
16:10General discussion on GSIM

16:30Closing of the day
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Day 3 - October 29

Time (CET)PresentationSpeakerDocuments
14:00Introduction to CSPAJean-Marc Museux (Eurostat)Presentation
14:15Q&A
-
14:20I3S – architecture guidanceJakob Engdahl (Statistics Sweden)

Abstract

Presentation

14:35A presentation on cloud native Service deploymentTrygve Falch (Statistics Norway)

Abstract

Presentation

14:50Q&A
-
15:00Break
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15:10Communicating about the sharing of statistical services Benoît Rouppert (Insee, France) and Pedro Cunha (INE, Portugal)

Abstract

Presentation

15:25ModernStats standards supporting the implementation and sharing
of statistical services
Mauro Bruno (Istat, Italy)

Abstract

Paper

Presentation

15:40BREAL in real life : the OJV use caseTomaž Speh (Statistics Slovenia) and Frédéric Gallois (Insee, France)

Abstract

Presentation

15:55Q&A
-
16:10General discussion on CSPA
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16:30Closing of the day
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Day 4 - October 30

Time (CET)PresentationSpeakerDocuments
14:00Introduction to GAMSOJenny Linnerud (Statistics Norway)Presentation
14:15Interconnection of ModernStats models Marina Signore (Istat, Italy)Presentation
14:30Q&A
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14:40SDMX and GSBPMJuan Munoz (INEGI, Mexico)Presentation
14:55New Developments with the Data Documentation Initiative (DDI)Dan Gillman (Bureau of Labor Statistics, USA)

Abstract

Presentation

15:10Q&A
-
15:20Break

15:30BREAL : making Big Data real in statistical processesMonica Scannapieco (Istat, Italy)

Abstract

Presentation

15:45HLG-MOS Machine Learning projectClaude Julien (HLG-MOS Machine Learning Project Manager)

Abstract

Presentation

16:00Q&A
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16:10Panel discussion – role of standards in the expanded data ecosystemCory Chobanik (Statistics Canada), Monica Scannapieco (Istat, Italy), Marina Signore (Istat, Italy), Edgardo Greising (ILO), moderated by Taeke Gjaltema (UNECE)-
16:40Closing of the workshop
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ABOUT THE WORKSHOP

Under the auspice of the HLG-MOS, several models have been developed to support modernising the production of official statistics. The Generic Activity Model for Statistical Organizations (GAMSO), Generic Statistical Business Process Model (GSBPM), Generic Statistical Information Model (GSIM), and Common Statistical Production Architecture (CSPA) are the cornerstones of the standards-based modernisation vision of the HLG-MOS. Collectively these are called the “ModernStats” models.

The ModernStats models are used by many organisations across the world. Some organisations use one of the models, some use more than one and others are just beginning to implement the ModernStats models in their organisations.

The workshop aims to progress works on development and maintenance of the ModernStats models and provide a ModernStats models user platform. In particular, the workshop will:

  • Promote the new developments of the ModernStats models and related works;
  • Increase the understanding of the models and interrelationships between them;
  • Facilitate the sharing of experiences, ideas and plans for modernising statistical production by implementing the models;
  • Identify opportunities for international collaboration activities.

The target audience of the workshop includes staff of statistical organisations who are responsible for developing, implementing and promoting standards-based modernisation of producing statistics as well as those using or thinking about using models for the modernisation of statistical production.

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