IREF419638false2026-05-13T03:12:41ZSDMX Cross Domain Concept SchemeThe Cross Domain Concept Scheme (starting from v2.0) is created from the set of concepts in the SDMX Glossary, which is an SDMX guideline containing concepts and related definitions that are useful for building and understanding data and metadata exchange arrangements based on SDMX. The Glossary provides definition of terms found in the SDMX Information Model, Data Structure Definitions (DSDs) and Metadata Structure Definitions (MSDs) at the time of the present release. It is recommended as a single entry point to a common SDMX terminology to be used in order to facilitate communication and understanding of the standard.In short, the overall message of the glossary is the following: if a term is used, then its precise meaning should correspond to the SDMX Glossary definition, and any reference to a particular phenomenon described in the SDMX Glossary should use the appropriate term.Version 1.0 of the SDMX Glossary, which replaces the Metadata Common Vocabulary (MCV) published in 2009, was finalised in February 2016. The Cross Domain Concept Scheme v1.0 was created from the MCV concepts.For any question, comment or correction, feel free to contact the SDMX Statistical Working Group (SWG) at the following address: swg@sdmx.org.CONTEXTThis metadata element is used to describe the differences in the statistical results calculated for the same statistical domain, based on stable or changing methodology (e.g. between provisional and final statistics or between different reference years showing break in series). Frequently, a group of statistics of a different type (in monetary value, in volume or constant price, price indicators, etc.) measure the same phenomenon using different methodologies. For instance, statistics on employment, depending on whether they result from employers' declarations or household surveys do not lead exactly to the same results. However, there are often differences in the concepts used (de-jure or de-facto population, for instance), in the registration date, in the cif/fob registration for external trade, etc. It is very important to check that these representations do not diverge too much in order to anticipate users' questions and for preparing corrective actions.TYPECross-domain conceptRECOMMENDED_REPRESENTATIONStringRELATED_TERMSCoherence; Coherence - cross-domain; Coherence - National Accounts; Coherence - sub-annual and annual statisticsSOURCESDMX (2016) (https://sdmx.org/)Coherence - internalExtent to which statistics are consistent within a given data set.