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.
Title in Arabic: المنهجيات الدولية في اعداد ونشر البيانات الوصفية
Organizer(s): AITRS
Description: تسعى الاجهزة الاحصائية لتوفير بيانات إحصائية تتمتع بجودة عالية وتلائم احتياجات المستخدمين في كافة المجالات الاقتصادية والاجتماعية بحيث تساعد في إعداد برامج وخطط التنمية المحلية وتسهم في توفير البيانات الضرورية من خلال اعتماد واتباع المعايير الدولية في مجال إعداد وتحليل ونشر البيانات الاحصائية الاحصائية ً مع مبدأ الشفافية وتلبية احتياجات المستخدمين. لذلك على الاجهزة الاحصائية نشر بيانات وصفية عن الاحصاءات التي ينتجها وينشرها بما يتوافق والمعايير الدولية في هذا المجال والمبادئ الأساسية للإحصاءات الرسمية الصادر عن الامم المتحدة والتي لها ارتباط بالبيانات. تندرج هذه الورشة في إطار تنفيذ البرنامج السنوي للمعهد العربي للتدريب والبحوث الإحصائية لعام 2024 من اجل دعم قدرات الأجهزة الإحصائية العربية في مجال توثيق المفاهيم والتعاريف والمصطلحات والتصانيف والمنهجيات المستخدمة في جمع البيانات وذلك للرجوع اليها عند الحاجة والاستئناس بها، بالإضافة الى احترام مقتضيات المبادئ الأساسية للإحصاءات الرسمية في الخصوص وخاصة المبدأ المتعلق بالشفافية. تتمثل الأهداف الرئيسية للورشة في تمكين المشاركين من فهم البيانات الوصفية واهميتها للمستخدمين للبيانات سواء كانوا من داخل الاجهزة الاحصائية او خارجها وذلك من أجل: * توثيق المفاهيم والتعاريف والمصطلحات والتصانيف والمنهجيات المستخدمة في جمع البيانات * وصف الجوانب الرئيسية لنوعية البيانات * المساهمة في تعزيز الشفافية وزيادة عدد المستخدمين للإحصاءات الرسمية * تأكيد جودة البيانات الاحصائية * اثراء العمل وتوفير الموارد وسهولة الرجوع للبيانات والتعاريف وإعادة استخدامها.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
[+] More
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.
Source: ESCAP SIAP (Data extracted on: 07 Dec 2023 )
[+] More
Organizer(s): ESCAP SIAP ESCAP НИУ ВШЭ
Description: The 2030 Agenda encourages member states to conduct regular and inclusive reviews of progress at the national and sub-national levels which are country-led and country-driven. This course focuses on building capacity in countries for reporting on the SDG indicators using national indicator frameworks. During the course participants will learn about key concepts around metadataparticularly related to the SDGslearn how to fill the SDG metadata template and better understand the importance of metadata to help explain the data and potential differences between data.The target participants are officials in national statistical officesline ministries and other institutions who are responsible for providing data and metadata for one or more national SDG indicators. The course can also be useful to a wider audience who is interested to learn more about metadata in the SDG context.
Organizer(s): UNSD Eurostat World Bank OECD BIS ECB IMF ILO ESCWA Bank of Italy
Description: The 9th Global Conference on Statistical Data and Metadata Exchange (SDMX) will be held 29 October to 2 November 2023 in Manama, Bahrain on the theme of Empowering Data Communities. The Global Conference is a bi-annual event for the official statistics community worldwide to share information on recent and upcoming SDMX developments. The 2023 event, co-organised by the SDMX Sponsors and the Bahrain Information and eGovernment Authority (IGA) with support of ESCWA and Banca d’Italia, will bring together a broad range of official statistics compilers and users from national, regional and international agencies, academia and the private sector.
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.
Topics:
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 )
[+] More
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: UNSD conducted a workshop on automated data exchange for the SDG Custodian Agencies. Using the Statistical Data and Metadata eXchange (SDMX) standard to automate data exchange has proven to substantially reduce the reporting burden for both the sender and receiver of statistical data. With some of the largest reporters of the SDG indicators including IMF, ILO, UNEP, having fully implemented SDMX exchange, there is a strong interest among the custodian agencies to move to SDMX exchange for their respective indicators. Responding to the demand, UNSD conducted the first round of SDMX training for the custodian agencies between 25 January and 2 February 2023. Over 4 online sessions, training in the basics of data modeling, the SDMX Information Model, commonly used SDMX tools, and specifics of SDG data exchange, was delivered to over 30 participants from about 15 Custodian Agencies. Positive feedback was received, and the training is expected to lead to a reduction of effort on the part of UNSD and the reporters as well as improvement of data quality and timeliness. Additional virtual workshops will be scheduled later in the year.
Source: Eurostat (Data extracted on: 31 Aug 2021 )
[+] More
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.
Description: The 8th Global Conference on Statistical Data and Metadata Exchange (SDMX) will be hosted virtually by the Instituto Nacional de Estadística y Geografía of Mexico (INEGI) during September 27–October 1, 2021. The Global Conference is a bi-annual event for the community to share information on recent and upcoming SDMX developments. The target audience will include compilers and users of official statistics including national and international agencies, academia, and the private sector. Given its virtual format, registration to the Global Conference will be open to everyone. Particularly, SDMX Sponsor agencies encourage participation of Managers of data-producing agencies interested in how SDMX can help raise the efficiency of statistical business processes; Hands-on data practitioners who would like to learn how SDMX could help with day-to-day tasks or looking to improve their knowledge of the standard; Researchers who need to consume and analyze statistical data; and Private sector companies interested in development commercial SDMX products. The theme of the 2021 Global Conference will be “Data without Barriers.” It will showcase how SDMX can help national and international agencies to simplify, strengthen, and modernize data and metadata exchange. Furthermore, SDMX 3.0 — a new version of the standard — will be officially launched at this conference. Finally, the Conference will offer training opportunities to learn about SDMX.
Title in Spanish: Videoconferencia sobre el uso e implementación de SDMX en América Latina: de la teoría a la práctica
Organizer(s): ECLAC INE Chile
Description: En el marco de la Red de Transmisión del Conocimiento (RTC) de la Conferencia Estadística de las Américas esta reunión virtual, es organizada por el Instituto Nacional de Estadísticas de Chile y la División de Estadísticas de CEPAL.
Source: Eurostat (Data extracted on: 21 Dec 2020 )
[+] More
Organizer(s): Eurostat Icon-Institut
Description: The main objectives of the course are: * Illustrate how “standardisation” is dealt within the European Statistical System and, more in general, within the statistical community; * Explain how to define a standardization strategy to improve the statistical business processes; * Focus on the main conceptual, logical and technical statistical standards detailed in the ESS Enterprise Architecture Reference Framework (GSBPM, GSIM, SDMX, DDI); * Introduce on open data (RDF, DCAT) and spatial (INSPIRE) standards; * Highlight the relationships between conceptual and implementation standards; * Experiment with tools in implementing a standards-based metadata-driven architecture for more efficient processes related to the dissemination, reporting and more in general to the data and metadata sharing.
Target Audience: Subject-matter experts (domains, dissemination and metadata management staff) without specialist IT knowledge. ESTP Trainings are open to non-ESS members if capacity allows after ESS needs are fulfilled.
e-Learning Course on Compiling National Metadata for the Sustainable Development Goals
22 Mar 2021 – 28 Apr 2021
Source: ESCAP SIAP (Data extracted on: 04 Jan 2022 )
[+] More
Organizer(s): ESCAP SIAP
Description: This course introduces concepts relevant to compiling metadata at the national level with emphasis on metadata for the SDGs. Among other topics coveredthe course provides details on the template for compiling metadata which has been agreed upon at the international level. Two webinars will also be held as part of the course to provide an overview of the topics and allow participants to ask questions.
Topics:
Original webpage was deleted, archived version from the Internet Archive (not a UN service): Link
Source: Eurostat (Data extracted on: 21 Dec 2020 )
[+] More
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: The Expert Group Meeting will bring together about 100 participants from international agencies, governments, and the private sector. The meeting will contribute to the evolution of the SDMX standard, in particular the ongoing development of SDMX 3.0. The event will feature a capacity-building session as well as side events including meetings of the various thematic Working Groups.
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.
Title in Arabic: تبادل البيانات الإحصائية ومعطياتها الوصفية
Organizer(s): AITRS
Description: تواجه المجتمعات الإحصائية في وقتنا الراهن العديد من الصعوبات والتعقيدات في عملها، إذ أن هناك تبايناً وتفاوتاً بين الأرقام الإحصائية الصادرة عن الأجهزة الإحصائية وتلك التي تنتجهات الجهات المالكة للسجلات الإدراية، كما أن هناك اختلافات جوهرية بين أدلة التصنيف المستخدمة بين الجهات، الأمر الذي يضع مستخدمي البيانات الإحصائية أمام مجموعة من المؤشرات والبيانات الإحصائية المتباينة، وقد يُعزى السبب في ذلك إلى ما يلي: للحصول على المعلومة الإحصائية، لا بدّ من إجراء اتصالات مقعدة تستهلك الوقت وتعتمد على الأفراد مع غياب العمل المؤسسي. الضعف في تكامل البيانات، وذلك بسبب غياب البيانات الوصفية وغموض الصيغ والمعنى، وغياب أساسيات حوكمة البيانات. عدم انتظام تحديث البيانات الأمر الذي يؤدي إلى صعوبة معالجتها، حيث يلجأ البعض للمعالجة اليدوية. بطء تقديم الخدمات الإحصائية لمستخدمين، ووجود صيغ متعددة للبيانات. دخول شركاء جدد في إنتاج البيانات الإحصائية، وخصوصاً أولئك الذين يعتمدون على السجلات التجارية
