SDMX, also known as Statistical Data and Metadata Exchange, is an international standard used for the exchange and sharing of statistical data and metadata among various organizations and systems. It serves as a common language and encoding framework for statistical data and related information.
SDMX provides a structured and flexible way to describe statistical data sets and their accompanying metadata, enabling efficient and standardized exchange of information between different statistical systems. It allows for seamless integration, interoperability, and comparability of statistical data, facilitating cross-border data sharing and analysis.
The standard encompasses various key components, including data structure definitions, data formats, and data exchange protocols. Data structure definitions specify the structure and characteristics of statistical data sets, such as their dimensions, attributes, and measures. Data formats define how the data and metadata are encoded, ensuring consistency and uniformity across different systems. Data exchange protocols govern the methods and procedures for transmitting data and metadata between systems.
SDMX supports a wide range of statistical activities, such as national and international statistical reporting, data collection, dissemination, and analysis. It is widely used by statistical organizations, central banks, and other data providers globally to ensure harmonization and coherence in statistical data exchange. The standard promotes transparency, reliability, and efficiency in statistical information management, contributing to evidence-based decision-making, policy formulation, and evaluation processes.
