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Welcome to the UNECE Virtual Standards Helpdesk

This wiki provides a "one-stop shop" for access to information about the standards necessary for the modernisation of official statistics. It is an initiative of the High-Level Group for the Modernisation of Statistical Production and Services (HLG).

The standards referenced here are cross-cutting, supporting the modernisation of all types of statistical production, and are endorsed by the HLG. For domain-specific standards, please see the Global Inventory of Statistical Standards.

 

 

Generic Statistical Business Process Model (GSBPM)

The GSBPM describes and defines the set of business processes needed to produce official statistics. It provides a standard framework and harmonised terminology to help statistical organisations to modernise their statistical production processes, as well as to share methods and components.

 

Generic Statistical Information Model (GSIM)

The GSIM is a reference framework of information objects, which enables generic descriptions of the definition, management and use of data and metadata throughout the statistical production process. It provides a set of standardized, consistently described information objects, which are the inputs and outputs in the design and production of statistics. As a reference framework, GSIM helps to explain significant relationships among the entities involved in statistical production, and can be used to guide the development and use of consistent implementation standards or specifications.

Common Statistical Production Architecture (CSPA)

CSPA builds on existing standards such as the GSBPM and the GSIM to create an agreed set of common principles and standards designed to promote greater interoperability within and between statistical organizations. It provides the “industry architecture” for official statistics.

 

 

 Data Documentation Initiative (DDI)

DDI is an initiative to create an international standard for describing data from the social, behavioral, and economic sciences. The DDI metadata specification now supports the entire research data life cycle. DDI metadata accompanies and enables data conceptualization, collection, processing, distribution, discovery, analysis, repurposing, and archiving.

 

 

Statistical Data and Metadata eXchange (SDMX)

SDMX is an initiative to foster standards for the exchange of statistical information.

 

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