Concept Group (2.0)

Category

Concept

Concept whose role is to extensionally define and measure a characteristic    

Categories for the Concept of sex include: Male, Female

Note: An extensional definition is a description of a Concept by enumerating all of its subordinate Concepts under one criterion or sub-division.

For example - the Noble Gases (in the periodic table) are extensionally defined by the set of elements including Helium, Neon, Argon, Krypton, Xenon, Radon. (ISO 1087-1)

class

Category Item

Concept

type of Node exclusive to a Category Set that contains a single Category  

A Category Item contains the meaning of a Category without any associated representation. (For example: "Male")

Category Set

Concept

type of Node Set for grouping Categories via Category Items

The Categories in a Category Set typically have no assigned Designations (Codes).

For example: Male, Female

Classification Family

Concept

Classification Index

Concept

A Classification Index shows the relationship between text found in statistical data sources (responses to survey questionnaires, administrative records) and one or more Statistical Classifications.  A Classification Index may be used to assign the codes for Classification Items to observations in acquisitions of statistical data.

A Statistical Classification is a subtype of Node Set. The relationship between Statistical Classification and Classification Index can also be extended to include the other Node Set types - Code List and Category Set.
A Classification Index can relate to one particular or to several Statistical Classifications.

Coding Instructions 

Additional information which drives the coding process for all entries in a Classification Index.

0..*  

String

Corrections

Summary description of corrections, which have occurred within the Classification Index. Corrections include changing the item code associated with a Classification Index Entry.

0..1

String

Languages Available

A Classification Index can exist in several languages. Indicates the languages available. If a Classification Index exists in several languages, the number of entries in each language may be different, as the number of terms describing the same phenomenon can change from one language to another. However, the same phenomena should be described in each language.

0..*

String

Classification Index Entry

Concept

A Classification Item is a subtype of Node. The relationship between Classification Item and Classification Index Entry can also be extended to include the other Node types - Code Item and Category Item.

Each Classification Index Entry typically refers to one item of the Statistical Classification. Although a Classification Index Entry may be associated with a Classification Item at any Level of a Statistical Classification, Classification Index Entries are normally associated with items at the lowest Level.

Coding Instructions

Additional information which drives the coding process. Required when coding is dependent upon one or many other factors.

0..*

String

Text

Text describing the type of object/unit or object property.

1..*

String

Classification Item

Concept

A Classification Item defines the content and borders of the associated Category.

A Unit can be classified to one and only one item at each Level of a Statistical Classification.

Categories are used to create sub-populations and must be mutually exclusive when contained into a Statistical Classification.

Case Laws 

Refers to identifiers of one or more case law rulings related to the Classification Item.

0..*

MultilingualText

Case Law Descriptions

Refers to descriptions of the case laws.

0..*

MultilingualText

Case Law Dates

Refers to date of case laws.

0..*

Date

Generated 

Indicates whether or not the item has been generated to make the level to which it belongs complete.

0..1

Boolean

Linked Items

Items of other classification versions or variants with which the item is linked, either as source or target, through Correspondence Tables.

0..*

String

Classification Series

Concept

Context

Classification Series can be designed in a specific context.

0..1

String

Keywords

A Classification Series can be associated with one or a number of keywords.

0..*

String

Objects/Units Classified

A Classification Series is designed to classify a specific type of object/unit according to a specific attribute.

1..1

String

Subject Areas

Areas of statistics in which the Classification Series is implemented.

1..1

String

Code

Concept

Designation for a Category    

Codes are unique within their Code List. Example: M (Male) F (Female).

Code Item

Concept

type of Node exclusive to a Code List that combines a Category with a Code that represents it    

A Code Item combines the meaning of the included Category with a Code representation.

Codes are unique within their Code List. Example: M (Male) F (Female).

Code List

Concept

type of Node Set for grouping pairs of Categories and their Codes via Code Items  

Similar Code Lists can be grouped together (via the "relates to" relationship inherited from Node Set).

A Code List provides a predefined set of permissible values for an Enumerated Value Domain

Concept

Concept

unit of thought differentiated by characteristics    

Definition

Representation of a Concept by a descriptive statement which serves to differentiate it from related Concepts.

1..*

MultilingualText

Concept System

Concept

set of Concepts structured by the relations among them  

Conceptual Domain

Concept

set of valid Concepts

Sentinel

If true, the domain is sentinel (i.e. values used to represent a state in the processing life-cycle e.g. missing data), otherwise the domain is substantive (i.e. values used to represent an observation of some Unit of interest).

1..1

Boolean

Correspondence Table

Concept

These are typically: two versions from the same Classification Series; Statistical Classifications from different Classification Series; a variant and the version on which it is based; or, different versions of a variant. In the first and last examples, the Correspondence Table facilitates comparability over time. Correspondence relationships are shown in both directions.

A Statistical Classification is a subtype of Node Set. The relationship between Statistical Classification and Correspondence Table can also be extended to include the other Node Sets - Code List and Category Set.

Floating 

If the source and/or target Statistical Classifications of a correspondence table are floating classifications, the date of the correspondence table must be noted. The correspondence table expresses the relationships between the two Statistical Classifications as they existed on the date specified in the table.

0..1 

String

Relationship Type 

A correspondence can define a 1:1, 1:N, N:1 or M:N relationship between source and target items.

0..1 

String

Source Level

The correspondence is normally restricted to a certain Level in the source Statistical Classification. In this case, target items are assigned only to source items on the given level. If no level is indicated, target items can be assigned to any level of the source Statistical Classification.

0..1 

String

Target Level

The correspondence is normally restricted to a certain Level in the target Statistical Classification. In this case, source items are assigned only to target items on the given level. If no level is indicated, source items can be assigned to any level of the target Statistical Classification.

0..*

String

Datum

Concept

Described Conceptual Domain

Concept

Described Value Domain

Concept

Data Type

1..1

String

Designation

Concept

association of a Concept with a sign that denotes it    

Designation is the name given to an object for identification.

     .

Enumerated Conceptual Domain

Concept

Conceptual Domain expressed as a list of Categories    

For example, the Sex Categories: 'Male' and 'Female'

Enumerated Value Domain

Concept

Instance Variable

Concept

use of a Represented Variable within a Data Set    

The Instance Variable is used to describe actual instances of data that have been acquired. Here are 3 examples: 
1) Gender: Dan Gillman has gender <m, male>, Arofan Gregory has gender<m, male>, etc. 
2) Number of employees: Microsoft has 90,000 employees; IBM has 433,000 employees, etc. 
3) Endowment: Johns Hopkins has endowment of <3, $1,000,000 and above>, 
Yale has endowment of <3, $1,000,000 and above>, etc.

It may include information about the source of the data.

Level

Concept

set of Nodes in a hierarchical Node Set in which 1) each Node in the set is the same number of parent-child steps away from the root Node in the hierarchy, and 2) the set is defined by a unifying Concept

Code Structure

Indicates how the code is constructed of numbers, letters and separators.

0..1 

String

Code Type 

Indicates whether the item code at the Level is alphabetical, numerical or alphanumerical.

0..1 

ControlledVocabulary

Dummy Code 

Rule for the construction of dummy codes from the codes of the next higher level (used when one or several categories are the same in two consecutive levels).

0..1 

String

Items 

An ordered list of the Categories (Classification Items) that constitute the Level.

1..*

MultilingualText  

Level Number

The number associated with the Level. Levels are numbered consecutively starting with level 1 at the highest (most aggregated) Level.

0..1

Number 

Map

Concept

expression of the relation between a Classification Item in a source Statistical Classification and a corresponding Classification Item in the target Statistical Classification    

The Map should specify whether the relationship between the two Classification Items is partial or complete. Depending on the relationship type of the Correspondence Table, there may be several Maps for a single source or target item.

The use of Correspondence Tables and Maps can be extended to include all types of Node and Node Set. This means that a Correspondence Table could map between the items of Statistical Classifications, Code Lists or Category Sets.

Measurement Type

Concept

The Measurement Type defines the type of a measure e.g. mass or currency.      

The Measurement Type groups all Measurement Units, which can be converted into each other. A Measurement Type can have a standard Measurement Unit, which can be used for conversion between different Measurement Units.

There need not be any standard Measurement Unit for a given Measurement Type e.g. currency. Each Measurement Type has as a standard at most one Measurement Unit.

dimensionality

(See ISO/IEC 11179-1 Ed 3, section 3.3.15, for a good explanation of dimensionality.)

Abbreviation

Abbreviation for the Measurement Unit e.g. kg for kilograms

0…*

String

Conversion Rule

Rule for conversion to the standard Measurement Unit, if this exists.

0…1

String

Aggregation Type

To define the parent/child relationship between Nodes, it tells us whether we are applying the part whole relationship, or the super/sub type relationships.

0..1

String

Geography

The geographical area to which the population is associated.

0..1

String

Reference Period

The time period to which the population is associated.

0..1

Date

Changes from Base Statistical Classification

Describes the relationship between the variant and its base Statistical Classification, including regroupings, aggregations added and extensions.

0..1

MultilingualText

Changes from Previous Version or Update 

A summary description of the nature and content of changes from the preceding version or update. Specific changes are recorded in the Classification Item object under the “Changes from previous version and updates” attribute.

0..1

MultilingualText

Copyright 

Statistical Classifications may have restricted copyrights. Such Statistical Classifications might be excluded from downloading. Notes the copyright statement that should be displayed in official publications to indicate the copyright owner.

0..*

String

Current

Indicates whether or not the Statistical Classification is currently valid.

0..1 

Boolean

Derived From 

A Statistical Classification can be derived from one of the classification versions of another Classification Series. The derived Statistical Classification can either inherit the structure of the classification version from which it is derived, usually adding more detail, or use a large part of its Classification Items, rearranging them in a different structure. Indicates the classification version from which the actual Statistical Classification is derived.

0..1 

String

Floating 

Indicates if the Statistical Classification is a floating classification. In a floating statistical classification, a validity period should be defined for all Classification Items which will allow the display of the item structure and content at different points of time.

0..1 

Boolean 

Introduction

The introduction provides a detailed description of the Statistical Classification, the background for its creation or variant, the classification variable and objects/units classified, classification rules etc.

0..1

MultilingualText

Languages Available 

A Statistical Classification can exist in one or several languages. Indicates the languages available, whether the version is completely or partially translated, and which part is available in which language.

0..*

String

Legal Base

Indicates that the Statistical Classification is covered by a legal act or by some other formal agreement.

0..* 

MultilingualText

Name Types 

A list of the defined types of alternative item names available for the Statistical Classification. Each name type refers to a list of alternative item names.

0..*

ControlledVocabulary

Predecessor

For those Statistical Classifications that are versions or updates, notes the preceding Statistical Classification of which the actual Statistical Classification is the successor.

0..1 

String

Successor 

Notes the Statistical Classification that superceded the actual Statistical Classification.

0..1 

String

Update 

Indicates if the Statistical Classification is an update.

0..1 

Boolean 

Updates Possible 

Indicates whether or not updates are allowed within the classification version i.e. without leading to a new version. Indicate here what structural changes, if any, are permissable within a version. Note whether Classification Items can be added to the structure and whether they can be revalidated or invalidated. Such changes are more likely to be permissable in floating classifications. Also indicate whether changes to such things as Classification Item names and explanatory notes that do not involve structural changes are permissible within a version.

0..1 

Boolean