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Note - this list just covers some of the key abbreviations used in this paper. For a more comprehensive glossary of terms related to the statistical production process, see the GSIM documentation.
CMF - Common Metadata Framework: A set of resources relating to the use of metadata by statistical organisations, including information on standards and best practices. See
CSPA - Common Statistical Production Architecture: An industry architecture which brings together the GSBPM and the GSIM, in addition to new frameworks about Statistical Services to create an agreed top level description of the 'system' of producing statistics which is in alignment with the modernisation initiative.
DDI - Data Documentation Initiative: An international standard for describing data from the social, behavioural, and economic sciences.
GLBPM - Generic Longitudinal /Business Process Model: A model based on the GSBPM, developed by the social survey research community.
GSBPM - Generic Statistical Business Process Model: A flexible tool to describe and define the set of business processes needed to produce official statistics.
GSIM - Generic Statistical Information Model: 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.
HLG - The High-Level Group for the Modernisation of Statistical Production and Services
METIS - The "brand name" for work on Statistical Metadata under the Conference of European Statisticians.
OECD - Organisation for Economic Cooperation and Development
SDMX - Statistical Data and Metadata eXchange: A set of technical standards and content-oriented guidelines, together with an IT architecture and tools, to be used for the efficient exchange and sharing of statistical data and metadata.
UNECE - United Nations Economic Commission for Europe
XML - eXtensible Mark-up Language: A language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable

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