Statistical Data and Metadata Exchange (SDMX) is an ISO standard crucial for describing, exchanging, and sharing statistical data efficiently across organizations. SDMX automates SDG data exchange, facilitates validation and reporting, and emphasizes the significance of data models. Developing a Dat

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Explore the advanced features of SDMX Converter that streamline data and metadata exchange for SDG monitoring. Learn about transcoding, parameter worksheets, and how to simplify mapping efforts for more efficient data processing.

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SDMX, designed for standardizing data exchange, offers versatile use in processing, validation, dissemination, and data management. Various scenarios like mapping data files to DSD, converting databases to SDMX, and using tools like ILO SMART demonstrate the scalability and efficiency of SDMX applic

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Explore the importance of properly describing data, developing a data model for exchange, and identifying concepts in the SDMX context. Figures vs. data on the number of touristic establishments in Italy, along with visuals, illustrate key concepts like Data Structure Definitions. Learn how to ident

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Data dissemination in India plays a crucial role in making statistics accessible and understandable to the public. The usage of SDMX for exchanging statistical data metadata aims to enhance comparability and interpretation, enabling collaboration with major data agencies. Challenges lie in extending

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SDMX is commonly used for data reporting at the national level, with various scenarios like Push, Pull, and Hub modes. Push Mode offers lightweight and industrial approaches using tools like SDMX Converters and SDMX-RI. These tools help in converting native files into the desired SDMX format and ext

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SDMX Converter is a versatile tool developed by Eurostat that enables the conversion of data between various formats and SDMX. It supports formats like CSV, Excel, and DSPL, making it easy to transform non-SDMX data into the SDMX format. The tool comes in different applications like desktop, command

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SDG Data Structure Definition by Abdulla Gozalov, UNSD, developed by Working Group on SDMX for SDG Indicators. It includes dimensions like Frequency, Reporting Type, Series, and Reference Area. The single DSD supports diverse indicators, with annual frequency convention. Differentiates between Natio

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Improving the adoption of the SDMX standard in the private sector is crucial. This article explores why SDMX has faced limited adoption, presents case studies on its use in various industries like construction and finance, and offers ideas to boost private sector uptake, such as leveraging SDMX's pe

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This content outlines the implementation of SDMX solutions for managing a statistical database, covering updates, challenges faced, and solutions utilized. It highlights the creation of the database, updating processes, the challenge of lacking common data structure definitions, and the SDMX solutio

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Explore the intricacies of the SDMX Information Model in the context of touristic establishments, delving into concepts like figures vs data and analyzing the number of touristic establishments. Dive into the UNSD-ESCWA Advanced SDMX Workshop held in Beirut from 27 Jun to 1 Jul 2022, presented by Ab

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Explore the structure and significance of SDMX dataflows and content constraints in managing and reporting data effectively. Learn about global dataflows, content constraints, and types of constraints to ensure accurate and compliant reporting of datasets.

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The data universe is expanding rapidly, leading to challenges in organizing and extracting valuable information. Dr. Patricia Staab discusses the importance of integrating data using SDMX at the SDMX Global Conference in Budapest. The approach involves moving towards an application-driven architectu

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In the realm of statistical development, the National Institute of Statistics in Tunisia embarked on a transformative journey towards a fully SDMX compliant information system. Initiatives included capacity building, data migration, and the adoption of a new dissemination platform. Steps such as SDM

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The SDMX Roadmap for 2019-2022 aims to advocate for SDMX usage, enhance skills in Africa, promote high-quality data exchange, and reduce reporting burden. It highlights the importance of transparency, harmonization, and seamless data exchange in the African Information Highway. Efforts include advoc

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The African Statistical Yearbook (ASYB) demonstrates successful collaboration among the African Development Bank (AfDB), African Union Commission (AUC), and United Nations Economic Commission for Africa (ECA). This union aims to harmonize data production, alleviate reporting burdens on member states

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Agilis Statistics & Informatics Ltd, in collaboration with the International Social Security Association (ISSA), presented a case study at the SDMX Global Conference 2019. The study focused on improving data exchange processes among member organizations of ISSA to facilitate social security informat

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The role of statistical standards in constructing national data backbones is crucial for efficient data dissemination and reporting, especially in the context of Sustainable Development Goals (SDGs). Statistical standards guide the orchestration of information flows within a national statistical net

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Develop a data model using the SDMX framework to provide comprehensive descriptions of relevant data characteristics. Understand the concepts of SDMX Data Structure Definition (DSD) akin to a star schema in relational databases. Concepts and units of thought are crucial for describing and exchanging

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Explore the journey of SDMX from its historical foundations to its current importance and future challenges. Discover the benefits of data standards, success stories, continuous development, and upcoming trends in Big Data Analytics and SDMX. Learn about the efforts to make SDMX fit for the future t

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