System overviewĮach (micro or macro) data produced in any phase of a Statistical Program is described as an output (product of a Process Step) and assigned a code and description. Anyway there is room for including also other concepts in the SUM-MS. the reference population for the data other concepts are left to the referential part of the system) statistical variables are organized under the Represented Variable concept, and their conceptual domain is described by means of the different kinds of variables (numerical or categorical). SUM does not documents the Unit Type for a Population (by the way, SUM-MS declares only “analysis populations”, i.e. For the moment the SUM-MS system contains metadata without documenting many details: e.g. instance variable) given that SUM-MS contains only metadata, not data. The concepts that have not been adopted are those that refer to actual instances (e.g. Among all the concepts available in GSIM, some of them have not been adopted, some others will be included in the next SUM-MS releases and some others are new objects with respect to GSIM. GSIM has been adopted as a reference for nomenclature and definitions of concepts related to data definitions. For this reason, the model is essentially very similar to the one depicted in GSIM, although some modifications have been also considered, as described in the next sections. Micro and macro data along the statistical process are then described in terms of a set of concepts as available in the Concepts and Structures GSIM groups. Hence, each data is marked by the following elements:ġ) The Statistical Program and Statistical Program Cycle under which it has been produced Ģ) The Process Step (phase) under which the data has been produced ģ) The Process method that specifies the method that produced the data (consisting of a set of Rules) Ĥ) The Inputs that are necessary in order to produce the data through the application of the Process method. Each data is a result of a Process step through the application of a Process method on the necessary Inputs. SUM-MS has been built in line with sections 47-50 in GSIM Specification, version 1.1 (December 2013). In the next sections there is a general overview of the model. The general plan is given in the next Figure. SUM-MS adopts essentially two data structures: macro data hypercubes and data sets of micro data. The primary objective of the Istat information model under SUM-MS is to give a definition to data inside Data Sets organized in Data Structures. The model adopted in Istat can be considered as a customized GSIM compliant model. Furthermore, some concepts of the Production group have also been used. The information model adopted in Istat for the development of the Sistema Unitario dei Metadati for structural metadata (SUM-MS) strongly relies on the GSIM concepts available in groups Concepts and Structures.
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