Structure Group (2.0)

Attribute Component

Structure

role given to a Represented Variable in the context of a Data Structure, which supplies information other than identification or measures    

For example:

• the embargo time (at which point the observation will be made publicly available)
• the base period of the data in the series

Is Mandatory

When there is an attribute in a Dimensional Data Structure, this sets a status to indicate whether it is mandatory or optional to include it in that particular dimensional Data Set.

0..1

Boolean

Attachment Level

The description of what Level a certain attachment is at. For example, in SDMX this could be Data Set, Observation, Series, Group.

0..1

ControlledVocabulary

Data Point

Structure

container for a single value of an Instance Variable    

A Data Point is a cell or a placeholder for a value (Datum) it may contain (note that a data point could be empty).

A field in a Data Structure which corresponds to, for example, a cell in a table. The Data Point is structural and distinct from the value (the Datum) that it holds.

Data Record

Structure

collection of Data Points related to a given Unit or Population

For example (1212123, 48, American, United Kingdom) specifies the age (48) in years, the current citizenship (American), and the country of birth (United Kingdom) for a person with social security number 1212123. For the case of unit data, it can be structured by Logical Record.

Data Resource

Structure

organised collection of stored information made of one or more Data Sets    

Data Resources are collections of data. Data Resource is a specialization of an Information Resource.

Data Set

Structure

organised collection of data    

Data Sets could be used to organise a wide variety of content, including observation registers, time series, longitudinal data, survey data, rectangular data sets, event-history data, tables, data tables, registers, data cubes, data warehouses/marts and matrixes.

An example of a population unit Data Set (microdata) could be a collection of three Data Records (1212123, 48, American, United Kingdom), (1212111, 38, Hungarian, United Kingdom), and (1212317, 51, Canadian, Mexico), each containing the social security number, age, citizenship and country of birth of an individual. An example of a population dimensional Data Set (aggregate) could be a collection of three entries (Mexico, 2021, 130.3), (United Kingdom, 2021, 67.33), and (Italy, 2022, 60.24), each containing the name of the country, year of interest and population of the country in millions.

Database, data file, file, table

Type

Type of Data Set (e.g., unit Data Set, dimensional Data Set)

0..1

ControlledVocabulary

Data Structure

Structure

structure of an organised collection of data (Data Set)    

The structure is described using Data Structure Components that can be either Attribute Components, Identifier Components or Measure Components. Examples for unit data include social security number, country of residence, age, citizenship, country of birth, where the social security number and the country of residence are both identifying components and the others are measured variables obtained directly or indirectly from the person (Unit).

Data Structure Component

Structure

role of the Represented Variable in the context of a Data Structure    

A Data Structure Component can be an Attribute Component, Measure Component or an Identifier Component.

• Example of Attribute Component: publication status of an observation such as provisional, revised.
• Example of Measure Component: age and height of a person in a Unit Data Set or number of citizens and number of households in a country in a Data Set for multiple countries (dimensional Data Set).
• Example of Identifier Component: personal identification number of a Swedish citizen for unit data or the name of a country in the European Union for dimensional data.

Dimensional Data Structure

Structure

structure of an organised collection of a dimensional data     

For example, (country, gender, number of citizens) where the country and gender are the Identifier Component and the number of citizens is a Measure Component.

Group

A composite association to one or more component lists.

0..*

String

Identifier Component

Structure

role given to a Represented Variable in the context of a Data Structure to identify the Units     

An Identifier Component is a sub-class of Data Structure Component. The personal identification number of a Swedish citizen for unit data or the name of a country in the European Union for dimensional data.

Is Composite

Indicates if the key is composite.

0..1

Boolean

Is Unique

Indicates if the key is unique.

0..1

Boolean

Role

Specifies the type of id represented (entity, indicator, count, time, geography).

0..1

ControlledVocabulary

Information Resource

Structure

abstract notion that is any organised collection of information    

Statistical activity uses Information Resources to produce information. There currently are only two concrete sub-classes: Data Resource and Referential Metadata Resource. The Information Resource allows the model to be extended to other types of resource.

Information Set

Structure

organised collection of statistical content     

Statistical organisations acquire, process, analyze and disseminate Information Sets, which contain data (Data Sets), referential metadata (Referential Metadata Sets), or potentially other types of statistical content, which could be included in additional types of Information Set.

Information Structure

Structure

describes the structure of an Information Set

Logical Record

Structure

 set of attributes defined by Unit Type describing a specific instance of a Data Record which provides an additional relationship on top of Data Structure

Logical Records provide an additional relationship on top of the Data Structure (e.g., an individual is a part of family, information from record linkage)                

Measure Component

Structure

role given to a Represented Variable in the context of a Data Structure to hold the observed/derived values for a particular Unit     

A Measure Component is a sub-class of Data Structure Component. For example, age and height of a person in a Unit Data Set or number of citizens and number of households in a country in a Data Set for multiple countries (dimensional Data Set).

Record Relationship

Structure

description of relationships between Logical Records within a Unit Data Structure    

Record Relationship must have both a source Logical Record and a target Logical Record in order to define the relationship. Example: Relationship between a person and household Logical Records within a unit Data Set.

Referential Metadata Attribute

Structure

characteristic that describes or qualifies Referential Metadata Subject    

A set of Referential Metadata Attributes is structured by Referential Metadata Structure to describe Referential Metadata Subject. Examples of Referential Metadata Attributes can be Represented Variables (e.g., "Accuracy", "Timeliness" when describing quality information) or other GSIM class (e.g., Statistical Classification, Contact, Owner).    

Is Container

Boolean indicating whether or not this attribute actually will contain a value when reported in a metadata set.

0..1

Boolean

Referential Metadata Content Item

Structure

actual content for Referential Metadata Attribute    

Referential Metadata Content Item can take different formats (e.g., text, number, value from a predefined codelist, table).    

Referential Metadata Resource

Structure

organised collection of stored information consisting of one or more Referential Metadata Sets    

Referential Metadata Resources are collections of structured information. This class is a specialization of an Information Resource.

Referential Metadata Set

Structure

organised collection of referential metadata for a given Referential Metadata Subject Item    

 Each Referential Metadata Set uses a Referential Metadata Structure to define a structured list of Referential Metadata Attributes for a given Referential Metadata Subject Item.

Referential Metadata Structure

Structures

structure of an organised collection of referential metadata    

A Referential Metadata Structure defines a structured list of Referential Metadata Attributes for a given Referential Metadata Subject.

Examples of Referential Metadata Structure include structures for describing quality information and methodologies information (e.g., ESS Standard for Quality Reports Structure) or characteristics of registers as well as a structure of documentation storing information necessarily for internal dataset management (e.g., GDPR status, existence of information on minor)).               

Metadata Structure Definition

Referential Metadata Subject

Structure

subject for which an organised collection of referential metadata is reported    

The Referential Metadata Subject identifies the subject of the metadata that can be reported using this Referential Metadata Structure. These subjects may be any GSIM information class on which organised set of metadata is needed, such as Statistical Program, Data Set, Questionnaire and Statistical Classification.           

Referential Metadata Subject Item

Structure

actual subject for which referential metadata is reported    

Examples are an actual Product such as Balance of Payments and International Investment Position, Australia, June 2013, or a collection of Data Points such as the Data Points for a single region within a Data Set covering all regions for a country.

Unit Data Structure

Structure

structure of an organised collection of unit data    

For example (social security number, country of residence, age, citizenship, country of birth) where the social security number and the country of residence are the identifying components (Identifier Component) and the others are measured variables obtained directly or indirectly from the person (Unit) and are Measure Components of the Logical Record.

File description, dataset description