Description: This workshop is aimed at preparing for the implementation of the updated trade statistics manuals (IMTS 2026 and MSITS 2026) and the Handbook on Integrating Business and Trade Statistics (HIBTS). The revised trade manuals are expected to be completed by the end of this year and submitted to the United Nations Statistical Commission for consideration in 2026. A background document for the 56th session of the Commission provides more information on the expected updates to the current standards. The HIBTS has also been submitted to the Commission as a background document for its endorsement.
Description: Background: Statistical data exchanges often take place in an ad-hoc manner, using all kinds of formats and non-standard concepts, hence the need for common standards, guidelines and tools to enable more efficient processes for exchanging and sharing statistical data and metadata. SDMX (Statistical Data and Metadata eXchange) is an international initiative that aims to standardize and modernize ("industrialize") the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. The standard has evolved in recent times, going beyond straightforward data exchange and now enabling more efficient and reliable data storage and dissemination. SDMX is a business choice (as opposed to a technical choice), improving the quality of statistical data-processing and exchange through standardization, automation, validation and data-sharing. SDMX is a standard (indeed an ISO standard, 17369:2013) designed to describe statistical data and metadata, normalize their exchange and enable them to be shared more efficiently among organizations. To meet these three requirements, SDMX has three key components: 1. Technical standards (including the Information Model); 2. Statistical guidelines; 3. An IT architecture and tools. SDMX is therefore much more than a mere data-transmission format. All labour market information (LMI) systems implemented with the assistance of the ILO are based on and make intensive use of SDMX. The objective of the course is to enable participants to understand the scope, architecture and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata. This will enable the to: - Assess how to take advantage of SDMX in their day-to-day work; - Understand DSDs and MSDs, and how they reflect requirements for data and metadata exchange; - Work together (statisticians and IT specialists within an organization) in planning for SDMX in their domain; - Learn how to model data in using SDMX for data-exchange, storage and/or dissemination; - Understand the relationship between SDMX and the production of statistics; - Understand the different roles of organizations in the collection and production of statistics and their relationship with SDMX; - Understand (in broad terms) the different tools available in the marke, and the architecture that can be developed; - Understand how SDMX enables data harmonization across a system.
Target Audience: National statistical offices (NSOs); IT specialists; Ministries of labour and related Institutions (such as labour observatories); Governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); Research and academic institutions; International organizations; Development agencies; Non-governmental organizations; etc.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
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Organizer(s): ESCAP SIAP ESCAP UNSD ADB
Description: SDMX stands for Statistical Data and Metadata eXchange. It is an ISO standard designed to describe statistical data and metadatanormalize their exchangeand improve their efficient sharing across statistical and similar organizations. SDMX provides an integrated approach to facilitating statistical data and metadata exchangeenabling interoperable implementations within and between systems concerned with the exchangereporting and dissemination of statistical data and their related meta-information. This course has been developed by Asian Development Bank (ADB)United Nations Statistics Division (UNSD)Economic and Social Commission for Asia and the Pacific (ESCAP)and Statistical Institute for Asia and the Pacific (SIAP) with comments from the Bank of International Settlements (BIS) and the International Labour Organization (ILO).The course will be available in ADB eLearnand is free-of-chargeself-pacedand open to anyone who is interested in learning more about SDMX.
Description: Statistical data exchanges often take place in an ad-hoc manner, using all kinds of formats and non-standard concepts, hence the need for common standards, guidelines and tools to enable more efficient processes for exchanging and sharing statistical data and metadata. SDMX (Statistical Data and Metadata eXchange) is an international initiative that aims to standardize and modernize ("industrialize") the mechanisms and processes for the exchange of statistical data and metadata among international organizations and their member countries. The standard has evolved in recent times, going beyond straightforward data exchange and now enabling more efficient and reliable data storage and dissemination. SDMX is a business choice (as opposed to a technical choice), improving the quality of statistical data-processing and exchange through standardization, automation, validation and data-sharing. SDMX is a standard (indeed an ISO standard, 17369:2013) designed to describe statistical data and metadata, normalize their exchange and enable them to be shared more efficiently among organizations. To meet these three requirements, SDMX has three key components: 1. Technical standards (including the Information Model); 2. Statistical guidelines; 3. An IT architecture and tools. SDMX is therefore much more than a mere data-transmission format. All labour market information (LMI) systems implemented with the assistance of the ILO are based on and make intensive use of SDMX. The objective of the course is to enable participants to understand the scope, architecture and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata. This will enable the to: - Assess how to take advantage of SDMX in their day-to-day work; - Understand DSDs and MSDs, and how they reflect requirements for data and metadata exchange; - Work together (statisticians and IT specialists within an organization) in planning for SDMX in their domain; - Learn how to model data in using SDMX for data-exchange, storage and/or dissemination; - Understand the relationship between SDMX and the production of statistics; - Understand the different roles of organizations in the collection and production of statistics and their relationship with SDMX; - Understand (in broad terms) the different tools available in the marke, and the architecture that can be developed; - Understand how SDMX enables data harmonization across a system.
Target Audience: National statistical offices (NSOs); IT specialists; ministries of labour and related Institutions (such as labour observatories); governmental agencies responsible for labour-market data analysis and national SDG reporting; ILO social partners (employers' and workers' organizations); research and academic institutions; international organizations; development agencies; non-governmental organizations.
Description: UNSD participated in a webinar organized by ECA jointly with UNSD and the UK Office for National Statistics (ONS). This is part of a European Union-funded project Support to monitoring of SDGs and statistics in Africa, implemented by ECA, which aims to develop methodology to track member states' progress towards achieving SDG, reporting and dissemination of SDGs indicators through harnessing innovative tools and technologies. The six project countries participated in the webinar, which follows on previous online and inperson training events that develop the countries’ capacity in modeling their SDG indicators in accordance with the SDMX standard and use this standard to efficiently report and disseminate their data using standardized tools and platforms while reducing the reporting burden. ECA provided an overview of the project, progress achieved so far, and plans for the implementation into 2024. UNSD reviewed the reporting of SDG indicators through the SDMX standard as well as recent developments, in particular e-learning resources that have become available in the past year with UNSD’s active participation and which facilitate capacity development in both SDMX in general and its application in the SDGs in particular. The ONS provided introductory training to enable the countries to set up prototype SDG dashboards based on the Open SDG platform, which uses the global SDG Data Structure Definition to efficiently disseminate national SDG indicators and metadata. The two-session webinar will be followed by further events that build on progress achieved so far and enable the countries to enhance and standardize the dissemination of their SDG indicators.
Description: ESCWA and the United Nations Statistical Division (UNSD) are organizing the sixth workshop on the use of the Statistical Data and Metadata Exchange (SDMX) standards for Sustainable Development Goals (SDG) data reporting. The workshop aims to enhance countries’ capacities in relation to the exchange of national data. It also seeks to raise awareness of the latest developments in data exchange and promote the implementation of SDMX at the national level. Participants include statisticians and IT specialists from national statistical offices in the Arab region. The event offers exercises on data mapping and conversion using the SDMX standard tools as well examples of customizing a national Data Structure Definition. This event is part of the SDMX training series. 5-8 June 2023 Sixth training on using SDMX for SDG data reporting Workshop Amman
Joint UNSD and SACU Training Workshop on International Merchandise Trade Statistics (IMTS), Statistical Data and Metadata eXchange (SDMX), and Data Tools
Description: UNSD and the Southern African Customs Union (SACU) jointly organized a Workshop on International Merchandise Trade Statistics (IMTS), Statistical Data and Metadata eXchange (SDMX), Structured Query Language (SQL), and Trade Data Tools. The Workshop involved 31 participants from SACU Member States’ institutions (customs offices, national statistical offices, central banks, and Ministries of Finance), 13participants from international organizations(UNSD, UNCTAD, SACU, COMESA and Office of the Resident Coordinator, United Nations -South Africa) of which 6 participated virtually. Participants shared best practices regarding the implementation of the International Merchandise Trade Statistics: Concepts and Definitions 2010 (IMTS 2010), especially for scope and coverage, issues of bilateral asymmetries, quality and data comparability, data dissemination, analyses and uses. The meeting also discussed emerging issues in merchandise trade statistics, including Digital trade, Big data, Trade by Enterprise Characteristics (TEC), and the revision of the international standards for trade statistics. Furthermore, the participants were introduced to the Statistical Data and Metadata Exchange (SDMX), Structured Query Language (SQL), and the new UN Trade Data Tool (TDT). Participants acquired new knowledge and information that will be applied to improve their work and programs in international trade statistics. Furthermore, the new perspectives and information shared in this Workshop will be further reflected upon in the ongoing processes for revising the international standards for trade statistics.
Description: During this Global Network Webinar Abdulla Gozalov, Alexander Loschky (UNSD), Jonathan Challener (OECD), and Siddhesh Kaushik (World Bank) presented the new SDMX User Forum, https://sdmx.org/?sdmx_news=ask-find-... (hosted on the Global Network) and on SDMX Capacity Development Initiatives. The speakers introduced the new SDMX User Forum which is hosted on the Global Network of Data Officers and Statisticians, a platform for knowledge sharing, problem solving, and collaboration. On the Forum users of SDMX are invited to ask or answer questions, find solutions, and connect with experts and peers. It is designed as a space to generate ideas, receive feedback as well as to access information on case studies and implementation scenarios. The Forum is open to all users, irrespective of their level of experience and SDMX knowledge, starting at beginner level up to experienced SDMX users, such as data modelers and system developers. In addition, the speakers will presented ongoing SDMX capacity development initiatives (including the SDMX Foundation Course on ADB eLearn, the .Stat Academy, and others) and engaged with the audience to identify their capacity development needs to better serve the SDMX Users in the future. Finally, some first information about the next SDMX Conference was given which will take place during the second half of 2023.
Source: Eurostat (Data extracted on: 29 Nov 2022 )
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Organizer(s): Eurostat
Description: To enable participants to understand the scope, architecture, and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata, so that they can: * Assess how to take advantage of SDMX in their day-to-day work; * Understand what a DSD and MSD are and how they reflect requirements for data and metadata exchange; * Work together (statisticians and IT specialists) in the organization in planning for SDMX in their domain; * Understand the relationship between SDMX and the process of the production of statistics; * Understand the different roles of the organizations in the collection and production of statistics and the relationship with SDMX; * Understand (in broad terms) the different tools that Eurostat can provide, and the architecture that can be developed. * Understand that SDMX enables automated validation services.
Target Audience: Statisticians and IT professionals working in a statistical domain without SDMX knowledge.
Description: For this Global Network Webinar we will have Gianfranco Cecconi from Capgemini Invent with us who will be talking about Unleashing data sharing – 20 years of European Union experience, and what comes next. Since the original Public Sector Information Directive in 2003, the European Union (EU) has been committed to unleash the value of data for its citizens and businesses, by supporting the development of data sharing in and among its Member States. Starting from government-owned open data first, it evolved and shifted focus to data sharing in general with the European Strategy for Data in 2020. The talk will present the spectrum of actions that the EU has undertaken to implement and support its policy, through data.europa.eu (government open data) and Support Centre for Data Sharing (data sharing in general), share the learnings from those experiences, and offer a glimpse of the “data space” model for data sharing, that characterizes all upcoming EU data policy investments, starting from the ongoing Digital Europe programme.
Description: For this Global Network Webinar we had Gianfranco Cecconi from Capgemini Invent with us who spoke about ‘Unleashing data sharing – 20 years of European Union experience, and what comes next’. Since the original Public Sector Information Directive in 2003, the European Union (EU) has been committed to unleash the value of data for its citizens and businesses, by supporting the development of data sharing in and among its Member States. Starting from government-owned open data first, it evolved and shifted focus to data sharing in general with the European Strategy for Data in 2020. The talk presented the spectrum of actions that the EU has undertaken to implement and support its policy, through data.europa.eu (government open data) and Support Centre for Data Sharing (data sharing in general), shared the learnings from those experiences, and offered a glimpse of the “data space” model for data sharing, that characterizes all upcoming EU data policy investments, starting from the ongoing Digital Europe programme.
Source: Eurostat (Data extracted on: 31 Aug 2021 )
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Organizer(s): Eurostat
Description: To enable participants to understand the scope, architecture, and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata, so that they can: * Assess how to take advantage of SDMX in their day-to-day work; * Understand what a DSD and MSD are and how they reflect requirements for data and metadata exchange; * Work together (statisticians and IT specialists) in the organization in planning for SDMX in their domain; * Understand the relationship between SDMX and the process of the production of statistics; * Understand the different roles of the organizations in the collection and production of statistics and the relationship with SDMX; * Understand (in broad terms) the different tools that Eurostat can provide, and the architecture that can be developed. * Understand that SDMX enables automated validation services.
Target Audience: Statisticians and IT professionals working in a statistical domain without SDMX knowledge. Please note: All ESTP Courses are exclusively available to staff members of a European Statistical System (ESS) institution.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
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Organizer(s): Eurostat
Description: To enable participants to understand the scope, architecture, and features of SDMX, in particular those features that support more efficient processes for reporting, exchanging and disseminating statistical data and metadata, so that they can: * Assess how to take advantage of SDMX in their day-to-day work; * Understand what a DSD and MSD are and how they reflect requirements for data and metadata exchange; * Work together (statisticians and IT specialists) in the organization in planning for SDMX in their domain; * Understand the relationship between SDMX and the process of the production of statistics; * Understand the different roles of the organizations in the collection and production of statistics and the relationship with SDMX; * Understand (in broad terms) the different tools that Eurostat can provide, and the architecture that can be developed. * Understand that SDMX enables automated validation services.
Target Audience: Statisticians and IT professionals working in a statistical domain without SDMX knowledge. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
Description: Economic globalization, advancement in technology and the emergence of Big Data present many new challenges, but also new opportunities for International Trade Statistics in goods and services. Furthermore, the Covid-19 pandemic has made the measurement of digital trade and e-commerce more pertinent. The objective of the workshop is to assist countries in better understanding the concepts and definitions of IMTS-2010 and its implementation, but also improve capacity in new and emerging areas. More information is available from the Workshop website.
Description: The UNSD in collaboration with AUC and SADC will conduct a follow-up training workshop in the area of SDMX IMTS. South Africa and Botswana will undertake codes mapping and apply it to produce SDMX IMTS.
Description: The UNSD in collaboration with AUC and SADC will conduct a follow-up training workshop in the area of SDMX IMTS. South Africa and Botswana will undertake codes mapping and apply it to produce SDMX IMTS.
Description: The UNSD in collaboration with ADB, ASEAN, and EU-ASEAN ARISE project will conduct a Regional Training Workshop on Economic Statistics SDMX targeting 10 Southeast Asia countries. The workshop will bring together the subject matter and IT experts from institutions responsible in the compilation of SNA and IMTS in Southeast Asia region. Interested regional organizations in Asia will be also attending. The main objectives of the workshop are as follows: - Train subject matter experts: IT, National Accounts and Trade statisticians, on specific global SDMX Data Structure Definitions of SNA and IMTS; - Teach IT experts on various SDMX tools; - Assist statisticians/experts in implementing SDMX by conducting mapping exercises between a national database and SDMX code lists for specific domain.
