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  • Handbook on Management and Organization of National Statistical Systems
  • Preface
  • Chapter 1 - Introduction
    • 1.1 General Context
    • 1.2 Purpose, users and uses of the Handbook
    • 1.3 Main topics, key concepts, and terminologies
    • 1.4 Features and outline of the Handbook
  • Chapter 2 - Official Statistics - a general overview
    • 2.1 Official statistics
    • 2.2 The international dimension
    • 2.3 Basis of official statistics
    • 2.4 National statistical offices and national statistical systems
    • 2.5 The role of the chief statistician
    • 2.6 Statistical confidentiality
    • 2.7 Who are the users of official statistics?
    • 2.8 Maintaining close relations with users
    • 2.9 Data for official statistics
    • 2.10 Comparing modes of data acquisition
    • 2.11 Time and space dimensions of data
    • 2.12 Sustainable development indicators
    • 2.13 The statistical production processes
    • 2.14 Managing quality
    • 2.15 Disseminating and communicating the statistics
    • 2.16 International statistical cooperation
    • 2.17 The constant challenge of modernizing official statistics
    • 2.18 Impact of the COVID-19 pandemic
    • 2.19 Infrastructure and resources
  • Chapter 3 - The Basis of Official Statistics
    • 3.1 Introduction
    • 3.2 UN Fundamental Principles of Official Statistics
    • 3.3 Other principles practices and guidelines
    • 3.4 Legislative frameworks
    • 3.5 Certification and branding of official statistics
  • Chapter 4 - The National Statistical System
    • 4.1 Introduction
    • 4.2 Structure of the national statistical system
    • 4.3 Organization of national statistical systems
    • 4.4 Annual and multi-annual planning and priority setting
    • 4.5 Involving users in the national statistical system
    • 4.6 Coordination of the national statistical system
  • Chapter 5 - National Data Ecosystems and Governance
    • 5.1 Introduction
    • 5.2 Working definitions
    • 5.3 Layers of national data ecosystems
    • 5.4 NSO strategies
    • 5.5 What do these strategies involve in practice?
    • 5.6 What’s in it for me?
    • 5.7 Possible ways forward
  • Chapter 6 - The National Statistical Office
    • 6.1 Introduction
    • 6.2 Characteristics of NSOs
    • 6.3 National statistical office as an organization
    • 6.4 Governance and leadership
    • 6.5 Statistical Business Architecture
    • 6.6 Change management
    • 6.7 Risk management
  • Chapter 7 - Users and their Needs
    • 7.1 Introduction
    • 7.2 Measuring and analysing user satisfaction and needs
    • 7.3 Organizing and setting up contacts
    • 7.4 Needs of Government and administration
    • 7.5 Needs of the Central Bank
    • 7.6 Needs of the public
    • 7.7 Needs of businesses
    • 7.8 Needs of education
    • 7.9 Needs of researchers and academia
    • 7.10 Needs of the media
    • 7.11 Needs of international institutions
    • 7.12 Needs associated with the Sustainable Development Goals
    • 7.13 Needs of other international policy frameworks
    • 7.14 Statistical communication
  • Chapter 8 - Quality Management
    • 8.1 Introduction
    • 8.2 Generic quality management systems and other relevant standards
    • 8.3 Quality assurance frameworks, guidelines, and tools
    • 8.4 National quality assurance frameworks, guidelines, and tools
    • 8.5 Designing and developing a quality management framework
    • 8.6 Evaluation of a statistical process and its outputs
    • 8.7 Quality evaluation and certification of NSOs
    • 8.8 Relationships with other organizational policies, strategies, and frameworks
    • 8.9 Implementing a quality management framework
    • 8.10 Relevance to other producers of official statistics
  • Chapter 9 - Data Sources, Collection and Processing
    • 9.1 Introduction
    • 9.2 Sample surveys and censuses
    • 9.3 Administrative sources
    • 9.4 Geospatial data
    • 9.5 Big Data
  • Chapter 10 - Analysis and Analytical Frameworks
    • 10.1 Introduction
    • 10.2 Supplementing data with analysis
    • 10.3 Methods and systems of analysis
    • 10.4 National accounts
    • 10.5 Balance of Payments
    • 10.6 Environmental accounts
    • 10.7 Labour statistics and labour accounts
    • 10.8 Tourism accounts
    • 10.9 Health accounts
    • 10.10 Gender Statistics
  • Chapter 11 - Dissemination of Official Statistics
    • 11.1 Introduction
    • 11.2 Release schedule
    • 11.3 Data accessibility
    • 11.4 Metadata - providing information on the properties of statistical data
    • 11.5 Types of statistics disseminated
    • 11.6 Dissemination strategy
    • 11.7 Dissemination methods
    • 11.8 Recovering dissemination costs
    • 11.9 Open data movement
    • 11.10 Moving to a modernised distributed digital system
    • 11.11 Statistical literacy
    • 11.12 Skills needed by an NSO for dissemination and communication
  • Chapter 12 - Common Statistical Infrastructure
    • 12.1 Introduction
    • 12.2 Register-based statistics
    • 12.3 Statistical Business Register
    • 12.4 Frames for informal sector surveys
    • 12.5 Statistical farm register and other frame sources for agricultural censuses and surveys
    • 12.6 Household address register
    • 12.7 Household master sample, civil registration and vital statistics and population registers
    • 12.8 Methodological services
    • 12.9 Statistical policies, standards and guidelines
  • Chapter 13 - Human Resources Management and Development
    • 13.1 Introduction
    • 13.2 Workforce (Staff composition) of an NSO
    • 13.3 Human resources (HR) policies
    • 13.4 Recruitment
    • 13.5 Learning and development (training)
    • 13.6 Job rotation
    • 13.7 Staff retention and exit
    • 13.8 Options available for a new chief statistician
    • 13.9 Human resources management: a policy package
  • Chapter 14 - Data, Information and Knowledge Management
    • 14.1 Introduction
    • 14.2 The relationship between data, information, and knowledge
    • 14.3 Managing statistical data and metadata
    • 14.4 Information and knowledge management systems
    • 14.5 Managing archives
    • 14.6 Policy on retention of data and related information
    • 14.7 Skills needed
  • Chapter 15 - Information Technology Management
    • 15.1 Introduction
    • 15.2 Review of changes since last edition and current trends
    • 15.3 IT management models
    • 15.4 Use of standards and generic models in an NSO
    • 15.5 Enterprise architecture
    • 15.6 Basic IT infrastructure needs and skill requirements
    • 15.7 Specialist statistical processing/analytical software
    • 15.8 Questionnaire design tools
    • 15.9 Dissemination tools
    • 15.10 Other current IT issues
  • Chapter 16 - Management of Buildings, Physical Space and Finance
    • 16.1 Managing environmental, mechanical, and electrical needs
    • 16.2 Managing office space
    • 16.3 Building security
    • 16.4 Critical statistical infrastructure protection
    • 16.5 Managing finance
  • Chapter 17 - The International Statistical System (ISS)
    • 17.1 Introduction and definitions
    • 17.2 The United Nations System in the ISS
    • 17.3 United Nations Statistical Commission (UNSC)
    • 17.4 United Nations Secretariat
    • 17.5 Statistical Programmes of UN Funds and Programmes and Other Entities
    • 17.6 Statistical Programmes of UN Specialized Agencies
    • 17.7 Statistical Programmes of Related Organizations
    • 17.8 Statistical Programmes of International Financial Institutions (IFIs)
    • 17.9 Regional and sub-regional organizations
    • 17.10 International non-governmental organizations
    • 17.11 Coordination of International Statistical Activities
    • 17.12 International Statistical Cooperation
    • 17.13 Statistical forums to facilitate international cooperation
    • 17.14 SDGs-related forums that facilitate cooperation
    • 17.15 The NSO and the international statistical system
  • Glossary
  • Annex 1 - The Handbook Series
  • Annex 2a - Illustrative Reading Roadmaps by User
  • Annex 2b - Illustrative Reading Roadmaps by Reading Objectives
  • Annex 3 - Evolution of Usage of Terms in the Handbook Series
  • Annex 4 - Mission - Vision - Values Statements
  • Annex 5 - Why Share Microdata? – A View from ODW
  • Annex 6 - The United Nations System
  • Annex 7 - International Statistical System and Links to Cards
  • Annex 8 - Statistical Applications and Models
  • .md

17.14 SDGs-related forums that facilitate cooperation

Contents

  • 17.14.1 Interagency and Expert Group on SDG Indicators (IAEG-SDGs)
  • 17.14.2 High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB)
  • 17.14.3 Regional forums for sustainable development

17.14 SDGs-related forums that facilitate cooperation#

Cooperation and capacity development for the implementation of the SDGs indicator framework are guided and facilitated by key groups and forums:

  • Interagency and Expert Group on SDG Indicators (IAEG-SDGs);

  • High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB);

  • Regional Forums for Sustainable Development (🔗).

17.14.1 Interagency and Expert Group on SDG Indicators (IAEG-SDGs)#

The UNSC created the Inter-agency and Expert Group on SDG Indicators (IAEG-SDGs) at its 46th session to develop and implement the global indicator framework for the Goals and targets of the 2030 Agenda. The Group is composed of Member States and includes regional and international agencies as observers.

The global indicator framework was developed by the IAEG-SDGs and agreed upon, including refinements on several indicators, at the 48th session of the United Nations Statistical Commission. The indicator framework was subsequently adopted by the General Assembly on 6 July 2017 and is contained in the Resolution adopted by the General Assembly on Work of the Statistical Commission pertaining to the 2030 Agenda for Sustainable Development (A/RES/71/313).

The group’s current terms of reference can be found here and its current members are listed here.

The IAEG-SDGs has three working groups to address specific areas relevant to SDG indicator implementation. The groups address the Statistical Data and Metadata Exchange (SDMX), Geo-spatial information, and Development support. In addition to IAEG-SDGs members, the Working Groups include countries that are not members of the IAEG-SDGs, international organizations, civil society, academia and the private sector. The terms of reference of the working groups are found in the links below:

  • Working Group on Geo-spatial Information (🔗);

  • Working Group on SDMX (🔗);

  • Working Group on Measurement of Development Support (🔗).

Further information on the work of the IAEG-SDGs. Including outcomes of meetings and consultations can be found here.

17.14.2 High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB)#

At its forty-sixth session, the UNSC created the High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB). HLG-PCCB was tasked to provide strategic leadership in addressing the statistical capacity needs of NSOs in the follow-up and review of the implementation of the 2030 Agenda and the SDGs indicator framework. To achieve this, the HLG-PCCB coordinates closely with the IAEG-SDGs. To facilitate the exchange, the co-chairs of each group are included in each other’s meetings to share updates and connect the work of these two UNSC bodies. The group’s current terms of reference can be read here.

The HLG-PCCB consists of the chief statisticians from 22 national statistical offices (NSOs) representing the continental regions of the World (5 from the Asia and Pacific region, three from Northern Africa and Western Asia, five from Northern America and Europe, five from Latin America and the Caribbean and four from Sub-Saharan Africa), with the chair of the UNSC as an ex-officio member. Current members are listed here.

As mentioned earlier, the HLG-PCCB launched the CTGAP at the first UNWDF to address the key data and statistical capacity needs of NSS. The UNWDF, now held every two years, under the leadership and guidance of the HLG-PCCB continues to be a primary mechanism to engage the wider data ecosystem to discuss expanding capacity needs, foster partnerships and cooperation (both intergovernmental and public-private) and showcase potential solutions. To provide a more routine mechanism to discuss these issues, the HLG-PCCB meets up to three times a year outside of the UNWDF cycle.

More information on the HLG-PCCB, including outcomes of meetings, can be read here.

Box 15: The Global Network of Data Officers and Statisticians

The Global Network of Data Officers and Statisticians (🔗) is a global professional network for statisticians, data officers, data scientists and geospatial information experts of national statistical systems (NSSs), UN System entities, and other international and regional organizations. It is a facilitated professional online social community – hosted on the Yammer platform – which aims to help national governments build resilient and sustainable national data and information systems for the full implementation of the SDGs through collaboration, knowledge-sharing, networking, and technical support.

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The main objectives of the Global Network are:

  • Improve coordination and collaboration between and among NSSs, Resident Coordinator Offices / UN Country Teams, UN entities, and international and regional organizations, as well as within regions (via the Regional Commissions).

  • Connect existing but not necessarily well-connected networks, initiatives, and intergovernmental bodies by providing a single and unique meeting place for the users and entities described above.

The Global Network offers its users:

  • A community of practice around data and statistics;

  • Build new partnerships and foster synergies;

  • Fostered collaboration through the creation of thematic and regional groups;

  • Information on capacity-building events;

  • Global Network Webinars in identified fields and to improve communication skills;

  • Fruitful collaboration between statisticians, geospatial information experts, and Resident Coordinator Offices / UN Country Teams;

  • Support from a pool of experts;

  • An organically built knowledge base;

  • Sharing job and consultancy opportunities;

  • Provide members with an essential training and resource environment.

17.14.3 Regional forums for sustainable development#

The regional forums for sustainable development, convened annually by the UN regional commissions, are strategically placed on linking the national and global discourse and serving as multi-stakeholder platforms to promote the implementation of the 2030 Agenda. These Forums were set up following the General Assembly resolutions 67/290, 70/1 and 70/299 in which it acknowledged the importance of the regional dimensions of sustainable development; invited the regional commissions to contribute to the work of the High-Level Political Forum on Sustainable Development (HLPF), including through annual regional meetings; and encouraged member States to identify the most suitable regional forum, as a further means to contribute to the follow-up and review at the HLPF.

One of the key outcomes of the regional forums is the endorsement by the member States of SDG Regional Roadmaps. The roadmaps facilitate regional and sub-regional cooperation in the implementation of the SDGs. These roadmaps highlight data and statistics as a key means of implementing and supporting the statistical action plans for capacity development on the SDGs emanating from the respective intergovernmental statistical bodies.

Examples of initiatives for regional roadmaps:

  • ESCAP: The regional road map for implementing the 2030 Agenda for Sustainable Development in Asia and the Pacific (🔗) was agreed on during the 4th Asia Pacific Forum on Sustainable Development and subsequently endorsed by the ESCAP Member States at the ESCAP’s 73rd Commission Session. The road map identifies priority areas of regional cooperation for implementation of the 2030 Agenda. These priority areas underline the major challenges still faced in the region. Priority actions under the means of implementation for the 2030 Agenda are also identified in the road map, including data and statistics, technology, finance, policy coherence and partnerships.

  • UNECE: The regional roadmap guides to national statistical offices on producing statistics for SDGs (🔗). It lays out what needs to be done, who the stakeholders are, and the opportunities for cooperation. The Road Map deals with establishing national mechanisms for collaboration, assessing data gaps, developing national indicators, providing data on global SDG indicators, statistical capacity building and communication. The Road Map can be used in communications with other stakeholders involved in implementing SDGs to explain the issues related to statistics for SDGs, and the critical role of official statistics.

    The Road Map was developed by the Conference of European Statisticians (CES) Steering Group on Statistics for SDGs, including 17 countries, Eurostat, OECD and UNECE. The Heads of statistical offices of more than 60 countries from UNECE, OECD and beyond approved the Road Map in June 2017.

  • CARICOM: The Strategic Framework for the CARICOM Regional Strategy for the Development of Statistics (RSDS) is the roadmap to strategically support the Modernisation and Transformation of the CARICOM Statistical System (CSS). This Strategy document results from the extensive work undertaken over several years by the Standing Committee of Caribbean Statisticians (SCCS) and the Caribbean Community (CARICOM) Secretariat.

    The RSDS is guided by the five strategic priorities: standards and harmonisation; governance; integrated statistical systems; innovation; and, Advocacy and Communication. Additionally, four strategic drivers or enablers will underscore the strategic priorities: information communication technology geared to driving the solutions to data production; the SDGs; sustainable capacity building; and, gender mainstreaming.

    The Heads of Government, the highest decision-making body in the Community, endorsed the CARICOM RSDS at their Thirty-Ninth Regular Meeting in July 2018.

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17.13 Statistical forums to facilitate international cooperation

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17.15 The NSO and the international statistical system

Contents
  • 17.14.1 Interagency and Expert Group on SDG Indicators (IAEG-SDGs)
  • 17.14.2 High-level Group for Partnership, Coordination and Capacity-Building for statistics for the 2030 Agenda for Sustainable Development (HLG-PCCB)
  • 17.14.3 Regional forums for sustainable development

By United Nations

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