Skip to main content

Modernization of official statistics

Work in this area includes:

Human resources, organizational frameworks and evaluation

Human resources, organizational frameworks and cultural change are at the very core of the modernization of national statistical organizations.

We facilitate the sharing of good practices and exploration of emerging issues in the area of human resources management and training (HRMT) and provide guidance on improving HMRT in statistical organizations.

Work in this area covers topics such as:

  • Implementing organizational change: change and risk management
  • How to attract and retain qualified staff
  • Training and learning: methods and efficiency
  • Performance management
  • Building competencies
  • Staff motivation
  • Guidelines for managers including best practices
  • Evaluation including costs and benefits of modernization activities

Resources

Guidelines on Risk Management

Руководство «Практика управления рисками в Статистических Организациях»

Guidelines for Managers (2015)

Руководство для менеджеров

HR management and training (2012)

 

What should a modern national system of official statistics look like? (2008)
EnglishRussian

Statistical production, methods and information technology

We work with groups of experts to develop standards, guidelines, methods and tools to modernize and improve the efficiency of statistical production. We facilitate virtual and face-to-face communication to share experiences and ideas between national and international statistical organizations.

Work in this area covers topics such as:

  • Business and IT changes that will impact statistical production
  • Enterprise architecture and its role in the modernization of statistical production
  • Innovation in technology and methods driving opportunities for modernization
  • Best practices in statistical data editing, and the development of generic statistical data editing models
  • Developing a modernization maturity model
  • Applications of machine learning and artificial intelligence to official statistics
  • Record linkage

Resources

Common Statistical Production Architecture (CSPA)

CSPA Catalogue

Generic Statistical Business Process Model (GSBPM)

Generic Statistical Information Model (GSIM)

Principles and Guidelines on Building Multilingual Applications for Official Statistics

K-Base – Statistical Data Editing Knowledge Base

Statistical confidentiality and disclosure protection

 

Data collection and data sources

We bring together experts working in many different aspects of data collection, ranging from the positioning of collection activities within the structure of statistical organizations to the technologies and tools that facilitate efficient collection.  Our focus is not on the technical aspects of collection instruments and processes, but on the strategic level, bringing together data collection managers and cutting across statistical domains.  The overarching goal of this work is to facilitate exchange of experience and best practices within and between statistical organizations.  
 
Work in this area covers topics such as:

  • New data sources
  • Mixed-mode and multi-source collection
  • Risk management in using new tools and sources
  • Improving the respondent experience
  • Centralization of collection and economies of scale
  • Synergies with dissemination and communication teams in order to better address respondents
  • Mobile devices
  • International collaboration in data collection

Resources

 

Data collection wiki

Big data wiki  and big data inventory

ASSIST - the UNECE knowledge base on the use of Administrative and secondary sources in STatistics

Using administrative and secondary sources for official statistics (2012). Also available in Russian.

Register-based statistics in the Nordic countries - Review of best practices with focus on population and social statistics (2007). Also available in Russian.

 

Dissemination and communication

Presenting official statistics effectively is crucial to support informed decision-making at government, business and private level.

We bring together experts working in dissemination, communication and branding of official statistics and statistical information, to facilitate exchange of experience and promote good practices within the international statistical community.  Our work covers issues as diverse as: dissemination and communication outcomes, tools, processes, and strategic approaches related to communicating with users of official statistical products and services.
 
Work in this area covers topics such as:

  • Social media
  • Apps, APIs and open data
  • Digital publishing
  • Building and maintaining the credibility of official statistics
  • Statistical literacy
  • Communication with the media
  • Management of dissemination/communication functions and linkage to data collection
  • International collaboration

Resources

 

Dissemination and communication wiki

Getting the facts right. Also available in Russian

Making data meaningful. Available in various languages:

Part 1: A guide to writing stories about numbers
Part 2: A guide to presenting statistics
Part 3: A guide to communicating with the media
Part 4: A guide to improving statistical literacy

Statistical confidentiality and disclosure protection

 

Standards and metadata

We work with groups of experts to create, improve and implement standards for statistical production. The use of standards ensures that common definitions and processes are used within and between statistical organizations, helping to remove the barriers to collaboration on technical projects, fostering the sharing of knowledge and experiences, and serving as the basis for streamlined statistical production. Our work in this area includes, in particular, standards for metadata, since efficient use and sharing of data relies on metadata to guarantee that everyone has the same understanding of the information and processes to produce official statistics.

Work in this area covers topics such as:

  • Quality indicators
  • Metadata glossary
  • Standards for linked open data/metadata

Resources

This work is coordinated by the High-Level Group for the Modernisation of Official Statistics (HLG-MOS) through four modernisation groups:

  • Blue-Skies Thinking Network
  • Supporting Standards Group
  • Capabilities and Communication Group
  • Sharing Tools Group

The HLG-MOS is responsible for deciding on the annual flagship international collaboration projects undertaken within the UNECE statistical modernisation programme, as well as overseeing and providing strategic direction to the work programmes of the modernisation groups. The HLG-MOS reports directly to the Conference of European Statisticians.


Resources

 
 
 

GSBPM

 

GAMSO

 

CSPA

 

 

 

BigData inventory