{"id":23985,"date":"2024-04-08T14:41:38","date_gmt":"2024-04-08T12:41:38","guid":{"rendered":"https:\/\/www.huwise.com\/?post_type=glossary&#038;p=23985"},"modified":"2024-04-08T14:43:21","modified_gmt":"2024-04-08T12:43:21","slug":"statistical-data-and-metadata-exchange-sdmx","status":"publish","type":"glossary","link":"https:\/\/www.huwise.com\/en\/glossary\/statistical-data-and-metadata-exchange-sdmx\/","title":{"rendered":"Statistical Data and Metadata eXchange (SDMX)"},"content":{"rendered":"<h2><span style=\"font-weight: 400;\">What is Statistical Data and Metadata eXchange (SDMX)?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Launched in 2002, it is sponsored by eight international organizations (Bank for International Settlements (BIS), European Central Bank (ECB), Eurostat (Statistical Office of the European Union), International Labour Organization (ILO), International Monetary Fund (IMF), Organisation for Economic Cooperation and Development (OECD), United Nations Statistical Division (UNSD), and World Bank. It is codified as an ISO standard, number 17369:2013.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is made up of three components:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Technical standards (including its Information Model)<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Statistical guidelines<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">An IT architecture and tools<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\"><a href=\"https:\/\/www.huwise.com\/en\/blog\/accelerating-statistical-data-sharing-with-sdmx-and-intuitive-data-portals\/\">SDMX<\/a> aims to <a href=\"https:\/\/www.huwise.com\/en\/glossary\/standardized-data\/\">standardize<\/a> the exchange of statistical data and <a href=\"https:\/\/www.huwise.com\/en\/blog\/what-is-metadata-and-why-is-it-important-data\/\">metadata<\/a> between international organizations and countries, increasing harmonization, efficiency and communication.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">Why is Statistical Data and Metadata eXchange (SDMX) needed?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Sharing statistical data between organizations, governments and businesses delivers enormous benefits, but is complex and time-consuming if each organization uses its own formats, structures and terms. This holds back data exchange and leads to potential inefficiencies or inaccuracy if different organizations describe terms or metadata in different ways.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">SDMX therefore provides the common framework, standards and tools to exchange data, around areas as diverse as agriculture, economics, finance, trade, the environment, the UN Sustainable Development Goals and social statistics.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">What are the benefits of Statistical Data and Metadata eXchange (SDMX)?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">For organizations producing and consuming statistics data, SDMX offers nine key benefits:<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It harmonizes statistical data and metadata to ensure consistency, building trust<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It increases efficiency by automating <a href=\"https:\/\/www.huwise.com\/en\/glossary\/data-preparation\/\">data preparation<\/a>, sharing and reporting<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It enables better policy-setting and decision-making by ensuring data is coherent and comparable<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It reduces costs for end users who build applications to access data made available by various institutions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It reduces development and maintenance costs through standardization<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It delivers data faster through <a href=\"https:\/\/www.huwise.com\/en\/glossary\/data-automation\/\">automation<\/a>\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It improves <a href=\"https:\/\/www.huwise.com\/en\/glossary\/data-quality\/\">data quality<\/a> through better and faster validation<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It addresses the increased demand for data and underpins open <a href=\"https:\/\/www.huwise.com\/en\/blog\/5-myths-on-sharing-data-that-people-believe-but-shouldnt\/\">data sharing<\/a>, removing barriers to data access<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">It improves <a href=\"https:\/\/www.huwise.com\/en\/blog\/what-is-data-governance-and-why-is-it-an-essential-foundation-for-data-democratization\/\">data governance<\/a> by enforcing standards at an international and organization level.<\/span><\/li>\n<\/ol>\n<p><span style=\"font-weight: 400;\">Additionally, it provides access to a global community of practitioners and open source IT tools, helping statistics organizations to modernize and innovate.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">How does Statistical Data and Metadata eXchange (SDMX) work?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">SDMX uses its information model and guidelines to describe statistical data and metadata in a consistent, harmonized manner. It provides a set of common tools, processes, terminologies, and methodologies to smooth the exchange of information between producers and consumers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This can then be exchanged through different formats:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SDMX-ML, used for the exchange of structural metadata, data sets and queries<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SDMX-EDI (GESMES\/TS), used by the European Central Bank to exchange statistical data and metadata with central banks in European countries<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">SDMX-JSON, to support data sharing over the internet<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">These are maintained by the SDMX initiative, an active international community that helps increase adoption of SDMX. Through regular meetings and a five-year roadmap the organizations sponsoring SDMX drive forward the sharing of statistical data.<\/span><\/p>\n<h2><span style=\"font-weight: 400;\">How is SDMX used?<\/span><\/h2>\n<p><span style=\"font-weight: 400;\">There are two main use cases for SDMX:<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Data exchange between organizations<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Most often SDMX is used to improve data and metadata collection and sharing processes between statistical organizations. By using SDMX this process can be fully automated, while ensuring quality, consistency and trust.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Data discovery and visualization<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">By using SDMX statistical organizations can make statistical data and metadata easily available to external users (data consumers), such as via <a href=\"https:\/\/www.huwise.com\/en\/glossary\/open-data-portal\/\">open data portals<\/a>. It can also be used internally to automate the loading of data and reference metadata into databases.<\/span><\/p>\n","protected":false},"featured_media":0,"parent":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false},"tags":[490],"letter":[366],"class_list":["post-23985","glossary","type-glossary","status-publish","hentry","tag-metadata","letter-s"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Statistical Data and Metadata eXchange (SDMX) - Huwise<\/title>\n<meta name=\"description\" content=\"SDMX (Statistical Data and Metadata eXchange) is a standard to manage and automate the process of exchanging and sharing statistical data and metadata.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.huwise.com\/en\/glossary\/statistical-data-and-metadata-exchange-sdmx\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Statistical Data and Metadata eXchange (SDMX) - 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