Word version: GSIM v1.2 - Glossary.docx
| Object | Group | Definition | Explanatory Text |
|---|---|---|---|
Base | Extensions to the model based on an organization's administrative needs. | The Administrative Details object is designed to act as a 'placeholder' to allow for future extensions to the existing model. It allows for further information to be added about the Administrative Details required to maintain the other objects outlined by GSIM. | |
Base | An Agent is someone or something that bears some form of responsibility for a Business Process taking place, for the existence of an entity, or for another agent's Business Process. | An Agent may be either an Organization or an Individual. An Organization may be an entire organization or entities within a larger organization, such as departments or divisions. An Organization may have sub Agents,which may be either other Organizations within the parent Organization or Individuals that belong to that Organization. | |
Base | An Agent acting in a specific Role. | In the Organization Ontology from W3C Agent In Role is called a “Post”. | |
Base | A Change Event captures that a change has occurred to an Identifiable Artefact. It relates to the information object(s) that has(have) been affected. | A Change Event can be applied to only one Identifiable Artefact and result in one or more Identifiable Artefact(s). On the other hand, a Change Event can be applied to more than one Identifiable Artefact and result in only one Identifiable Artefact. Change Event Tuple is used to list the Identifiable Artefacts that are the source of the change and the Identifiable Artefacts that result from that change. | |
Base | A Change Event Tuple records which Identifiable Artefacts were changed by a Change Event. It keeps track of the source Identifiable Artefact(s) to which the Change Event was applied and the resulting target Identifiable Artefact(s). | The Change Event Tuple was introduced to support the traceability of information objects such as Variables in information flows (from creation to dissemination) through the GSBPM. | |
Base | Person(s) responsible for providing additional information about an information object and/or its metadata, either directly or indirectly by linking to its source. | ||
Base | An abstract class that comprises the basic attributes and associations needed for identification, naming and other documentation. | All GSIM information objects except Administrative Details, Agent In Role, Change Event, Datum, Process Input (and its sub-types) and Process Output (and its sub-types) are a sub-type of Identifiable Artefact. | |
Base | A person who acts, or is designated to act towards a specific purpose. | ||
Base | A unit or a group of persons within the Organizationresponsible for managing an information object and its metadata e.g. adding, modifying or deleting metadata about an information object. | A Maintainer is responsible for all administrative and operational issues relating to one or a set of an information objects. It is answerable to all stakeholders for all issues related to the information object(s) under its responsibility. A Maintainer is not a decision-making body. Decisions are made collaboratively among the owners of the artefact. | |
Base | A unique framework of authority within which a person or persons act, or are designated to act, towards some purpose. | ||
Base | A statistical office or other authority responsible for defining, specifying, creating and making decisions about the maintenance of an information object and/or its metadata. Some information objects may have several Owners. | ||
Base | The responsible function involved in the statistical Business Process. | Examples: Owner, Maintainer, Contact. | |
Business | The result of the analysis of the quality and effectiveness of any activity undertaken by a statistical organization and recommendations on how these can be improved. | An Assessment can be of a variety of types. One example may include a gap analysis, where a current state is determined along with what is needed to reach its target state. Alternately, an Assessment may compare current processes against a set of requirements, for example a new Statistical Need or change in the operating environment. An Assessment can use various information objects as inputs, whether they are the main objects that the Assessment is about or auxiliary information objects that help accomplish the Assessment. | |
Business | A proposal for a body of work that will deliver outputs designed to achieve outcomes. A Business Case will provide the reasoning for undertaking aStatistical Support Program to initiate a new Statistical Program Design for an existing Statistical Program, or an entirely new Statistical Program, as well as the details of the change proposed. | A Business Case is produced as a result of a detailed consideration of a Change Definition. It sets out a plan for how the change described by the Change Definition can be achieved. A Business Case usually comprises various evaluations. The Business Casewill specify the stakeholders that are impacted by the Statistical Need or by the different solutions that are required to implement it. | |
Business | Something an enterprise does, or needs to do, in order to achieve its objectives. | A Business Function delivers added value from a business point of view. It is delivered by bringing together people, processes and technology (resources), for a specific business purpose. Business Functions answer in a generic sense "What business purpose does this Business Service or Process Step serve?" Through identifying the Business Function associated with each Business Service or Process Step it increases the documentation of the use of the associated Business Services and Process Steps, to enable future reuse. A Business Function may be defined directly with descriptive text and/or through reference to an existing catalogue of Business Functions. The phases and sub processes defined within GSBPM can be used as an internationally agreed basis for cataloguing high level Business Functions. A catalogue might also include Business Functions defined at a lower level than "sub process". For example, "Identify and address outliers" might be catalogued as a lower level Business Function with the "Review, validate and edit" function (5.3) defined within GSBPM. | |
Business | The set of Process Steps to perform one of more Business Functions to deliver a Statistical Program Cycle or Statistical Support Program. | For example, a particular Statistical Program Cycle might include several data collection activities, the corresponding editing activities for each collection and the production and dissemination of final outputs. Each of these may be considered separate Business Processes for the Statistical Program Cycle. | |
Business | A means of performing a Business Function. | A Business Service may provide one means of accessing a particular Business Function. The operation of a Business Service will perform one or more Business Processes. The explicitly defined interface of a Business Service can be seen as representing a "service contract". If particular inputs are provided then the service will deliver particular outputs in compliance within specific parameters (for example, within a particular period of time). Note: The interface of a Business Service is not necessarily IT based. For example, a typical postal service will have a number of service interfaces: - Public letter box for posting letters - Counter at post office for interacting with postal workers | |
Business | A structured, well-defined specification for a proposed change. | A related object - the Statistical Need - is a change expression as it has been received by an organization. A Statistical Need is a raw expression of a proposed change, and is not necessarily well-defined. A Change Definition is created when a Statistical Need is analyzed by an organization, and expresses the raw need in well-defined, structured terms. The next step is to assess how we are going to make the measurements - to design a solution and put forward a proposal for a body of work that will deliver on the requirements of the original Statistical Need. | |
Business | A requirement for change that originates from a change in the operating environment of the statistical organization. | An Environment Change reflects change in the context in which a statistical organization operates. Environment Changes can be of different origins and also take different forms. They can result from a precise event (budget cut, new legislation enforced) or from a progressive process (technical or methodological progress, application or tool obsolescence). Other examples of Environment Changes include the availability of a new Information Resource, the opportunity for new collaboration between organizations, etc. | |
Business | An outline of a need for new information required for a particular purpose. | An Information Request is a special case of Statistical Need that may come in an organized form, for example by specifying on which Subject Field the information is required. It may also be a more general request and require refinement by the statistical agency and formalised in a Change Definition. | |
Business | Inputs used to specify which configuration should be used for a specific Process Step which has been designed to be configurable. | Parameter Inputs may be provided where Rules and/or Business Service interfaces associated with a particular Process Step have been designed to be configurable based on inputs passed in to the Process Step. | |
Business | A set of decision points which determine the flow between the Process Steps used to perform a Business Process. | The typical use of Process Control is to determine what happens next after a Process Step is executed. The possible paths, and the decision criteria, associated with a Process Control are specified as part of designing a production process, captured in a Process Control Design. There is typically a very close relationship between the design of a process and the design of a Process Control. | |
Business | The specification of the decision points required during the execution of a Business Process. | The design of a Process Control typically takes place as part of the design of the process itself. This involves determining the conditional routing between the various sub-processes and services used by the executing process associated with the Process Control and specified by the Process Control Design. | |
Business | A Process Designspecifies delivery of Business Functions. | A Process Design is the design time specification of a Process Step that is performed as part of a run-time Business Service. A Process Step can be as big or small as the designer of a particular Business Service chooses. From a design perspective, one Process Step can contain "sub-steps", each of which is conceptualized as a (smaller) Process Step in its own right. Each of those "sub-steps" may contain "sub-steps" within them and so on indefinitely. It is a decision for the process designer to what extent to subdivide steps. At some level it will be appropriate to consider a Process Step to be a discrete task (unit of work) without warranting further subdivision. At that level the Process Step is designed to process particular Process Inputs, according to a particular Process Method, to produce particular Process Outputs. The flow between a Process Step and any sub steps is managed via Process Control. | |
| Process Execution Log | Business | The Process Execution Log captures the output of a Process Step which is not directly related to the Transformed Output it produced. It may include data that was recorded during the real time execution of the Process Step. | |
Business | Any instance of an information object which is supplied to a Process Step Instance at the time its execution is initiated. | Process Input might include information that is used as an input that will be transformed (e.g. a Data Set), information that is used to control specific parameters of the process (e.g. a Rule), and information that is used as reference to guide the process (e.g. a Code List). | |
Business | A record of the types of inputs required for a Process Design. | The Process Input Specification enumerates the Process Inputs required at the time a Process Design is executed. For example, if five different Process Inputs are required, the Process Input Specification will describe each of the five inputs. For each required Process Input the Process Input Specification will record the type of information object (based on GSIM) which will be used as the Process Input (example types might be a Dimensional Data Set or a Statistical Classification). | |
Business | A specification of the technique which will be used to perform the work. | The technique specified by a Process Method is independent from any choice of technologies and/or other tools which will be used to apply that technique in a particular instance. The definition of the technique may, however, intrinsically require the application of specific Rules (for example, mathematical or logical formulas). | |
Business | A Process Outputwhose purpose is to measure and report some aspect of how the Process Step performed during execution. | A Process Metric is a sub-type of Process Output which records information about the execution of a Process Step. For example, how long it took to complete execution of the Process Step and what percentage of records in the Transformable Input was updated by the Process Step to produce the Transformed Output. One purpose for a Process Metric may be to provide a quality measure related to the Transformed Output. For example, a Process Step with the Business Function of imputing missing values is likely to result, as its Transformed Output, in a Data Set where values that were missing previously have been imputed. Statistical quality measures, captured as Process Metrics for that Process Step may include a measure of how many records were imputed, and a measure of how much difference, statistically, the imputed values make to the dataset overall. Another purpose for a Process Metric may be to measure an aspect of the Process Step which is not directly related to the Transformed Output it produced. For example, a Process Metric may record the time taken to complete the Process Step or other forms of resource utilization (for example, human and/or IT). Often these two kinds of Process Metrics will be used in combination when seeking to, for example, monitor and tune a statistical Business Processso its statistical outputs achieve the highest level of quality possible based on the time, staff and/or IT resources that are available. | |
Business | Any instance of an information object which is produced by a Process Step as a result of its execution. | ||
Business | A record of the types of outputs required for a Process Design. | The Process Output Specification enumerates the Process Outputs that are expected to be produced at the time a Process Design is executed. For example, if five different Process Outputs are expected, the Process Output Specification will describe each of the five outputs. For each expected Process Output the Process Output Specification will record the type of information object (based on GSIM) which will be used as the Process Output (Example types might be a Dimensional Data Set or a Statistical Classification). | |
Business | A nominated set of Process Designs, and associated Process Control Designs (flow), which have been highlighted for possible reuse. | In a particular Business Process, some Process Steps may be unique to that Business Process while others may be applicable to other Business Processes. A Process Pattern can be seen as a reusable template. It is a means to accelerate design processes and to achieve sharing and reuse of design patterns which have proved effective. Reuse of Process Patterns can indicate the possibility to reuse related Business Services. By deciding to reuse a Process Pattern, a designer is actually reusing the pattern of Process Designs and Process Control Designs associated with that Process Pattern. They will receive a new instance of the Process Designs and Process Control Designs. If they then tailor their "instance" of the Process Designs and Process Control Designs to better meet their needs they will not change the definition of the reusable Process Pattern. | |
Business | A Process Step is a work package that performs a Business Process. | A Process Step implements the Process Design specified in order to produce the outputs for which the Process Step was designed. Each Process Step is the use of a Process Design in a particular context (e.g. within a specific Business Process). At the time of execution a Process Step Instance specifies the actual instances of input objects (for example, specific Data Sets, specific Variables) to be supplied. | |
Business | An executed step in a Business Process. A Process Step Instance specifies the actual inputs to and outputs from an occurrence of a Process Step. | Each Process Step is the use of a Process Design in a particular context (e.g. within a specific Business Process). At the time of execution a Process Step Instance specifies the actual instances of input objects (for example, specific Data Sets, specific Variables) to be supplied. Each Process Step Instance may produce unique results even though the Process Step remains constant. Even when the inputs remain the same, metrics such as the elapsed time to complete execution of process step may vary from execution to execution. For this reason, each Process Step Instance details of inputs and outputs for that instance of implementing the Process Step. In this way it is possible to trace the flow of execution of a Business Process through all the Process Stepswhich were involved. | |
Business | A form of Process Input that influences the work performed by the Process Step, and therefore influences its outcome, but is not in itself changed by the Process Step. | Process Support Input is a sub-type of Process Input. Typical Process Support Inputs include metadata resources such as Statistical Classifications or structural information used in the processing of data. Examples of Process Support Inputs could include: | |
Business | A specific mathematical or logical expression which can be evaluated to determine specific behavior. | Rules are of several types: they may be derived from methods to determine the control flow of a process when it is being designed and executed; they may be used as the input parameters of processes (e.g. imputation rules, edit rules); and they may be used to drive the logical flow of a questionnaire. There are many forms of Rules and their purpose, character and expression can vary greatly. | |
Business | A requirement, request or other notification that will be considered by an organization. A Statistical Need does not necessarily have structure or format - it is a 'raw' need as received by the organization. A Statistical Need may be of a variety of types including Environmental Change or Information Request. | The Statistical Need is a proposed or imposed requirement, request or other notification as it has been received by an organization. A Statistical Need is a raw expression of a requirement, and is not necessarily well-defined. A related object - Change Definition - is created when a Statistical Need is analyzed by an organization. Change Definition expresses the raw need in well-defined, structured terms. | |
Business | A set of activities, which may be repeated, that describes the purpose and context of a set of Business Process within the context of the relevantStatistical Program Cycles. | The Statistical Program is one of a family of objects that provide the environmental context in which activities to produce statistics within a statistical organization are conducted. Statistical Program is the top level object that describes the purpose and objectives of a set of activities. Statistical Program will usually correspond to an ongoing activity such as a survey or output series. Some examples of Statistical Program are:
Related to the Statistical Program object there are Statistical Program Design and Statistical Program Cycle objects that hold the detailed information about the design and conduct of the Business Process. This does not include statistical support functions such as metadata management, data management (and other overarching GSBPM processes) and design functions. These activities are conducted as part of Statistical Support Programs. | |
Business | A set of activities to investigate characteristics of a given Population for a particular reference period. | A Statistical Program Cycle documents the execution of an iteration of a Statistical Program according to the associated Statistical Program Design for a certain reference period. It identifies the activities that are undertaken as a part of the cycle and the specific resources required and processes used and description of relevant methodological information used in this cycle defined by the Statistical Program Design. | |
Business | The specification of the resources required, processes used and description of relevant methodological information about the set of activities undertaken to investigate characteristics of a given Population. | The Statistical Program Design is a series of objects that provide the operational context in which a set of Business Processes is conducted. | |
Business | A program which is not related to the post-design production of statistical products, but is necessary to support production. | This type of program will include such functions as metadata management, data management, methodological research, and design functions. These programs correspond to the overarching processes in the GSBPM, as well as programs to create new or change existing Statistical Programs. | |
Business | A type of Process Input whose content goes into a Process Step and is changed in some way by the execution of that Process Step. Some or all of the content will be represented in the Transformed Output. | Transformable Input is a sub-type of Process Input. Producers of official statistics often conceptualize data (and sometimes metadata) flowing through the statistical Business Process, having statistical value added by each Process Step and being transformed along the way. The concept of Transformable Input allows this notional flow of information through the production process to be traced, without confusing these inputs with other inputs - such as Parameter Inputs and Process Support Inputs that are controlling or influencing a particular Process Step but do not "flow through the Business Process" in the same sense. Typical Transformable Inputs are Data Sets and structural metadata (if changed by a process and needed to describe another output or as an object in their own right). | |
Business | A Process Output (a result) which provides the "reason for existence" for the Process Step. | A Transformed Output is a sub-type of Process Output. Typically a Transformed Output is either a Process Input to a subsequent Process Step or it represents the final product from a statistical Business Process. In many cases a Transformed Output may be readily identified as an updated ("value added") version of one or more Transformable Inputs supplied to the Process Step execution. | |
Concepts | A Concept whose role is to extensionally define and measure a characteristic. | Categories for the Concept of sex include: Male, Female | |
Concepts | An element of a Category Set. | A type of Node particular to a Category Set type of Node Set. A Category Item contains the meaning of a Category without any associated representation. | |
Concepts | A list of Categories | A Category Set is a type of Node Set which groups Categories through the use of Category Items. The Categories in a Category Set typically have no assigned Designations (Codes). For example: Male, Female | |
Concepts | A Classification Family is a group of Classification Series related from a particular point of view. The Classification Family is related by being based on a common Concept(e.g. economic activity). | Different classification databases may use different types of Classification Families and have different names for the families, as no standard has been agreed upon. | |
Concepts | A Classification Index is an ordered list (alphabetical, in code order etc) of Classification Index Entries.A Classification Index can relate to one particular or to several Statistical Classifications. | 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 statistical collections. A Statistical Classification is a subtype of Node Set. The relationship between Statistical Classificationand Classification Index can also be extended to include the other Node Set types - Code List and Category Set. | |
Concepts | A Classification Index Entry is a word or a short text (e.g. the name of a locality, an economic activity or an occupational title) describing a type of object/unit or object property to which a Classification Item applies, together with the code of the corresponding Classification 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. | 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 Itemand Category Item. | |
Concepts | A Classification Item represents a Category at a certain Level within a Statistical Classification. It defines the content and the borders of the Category. A Unit can be classified to one and only one item at each Level of a Statistical Classification. | ||
Concepts | A Classification Series is an ensemble of one or more Statistical Classifications, based on the same concept, and related to each other as versions or updates. Typically, these Statistical Classifications have the same name (for example, ISIC or ISCO). | ||
Concepts | A Designation for a Category. | Codes are unique within their Code List. Example: M (Male) F (Female). | |
Concepts | An element of a Code List. | A type of Node particular to a Code List type of Node Set. A Code Item combines the meaning of the included Category with a Coderepresentation. | |
Concepts | A list of Categories where each Category has a predefined Codeassigned to it. | A kind of Node Set for which the Category contained in each Node has a Code assigned as a Designation. Similar Code Lists can be grouped together (via the "relates to" relationship inherited from Node Set). | |
Concepts | Unit of thought differentiated by characteristics. | ||
Concepts | Set of Concepts structured by the relations among them. | Here are 2 examples 1) Concept of Sex: Male, Female, Other 2) ISIC (the list is too long to write down) | |
Concepts | Set of valid Concepts. | The Concepts can be described by either enumeration or by an expression. | |
Concepts | A Correspondence Table expresses the relationship between two Statistical Classifications. 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. | |
Concepts | A value. | A Datum is the actual instance of data that was collected or derived. It is the value which populates a Data Point. A Datum is the value found in a cell of a table. | |
Concepts | A Conceptual Domain defined by an expression. | For example: All real numbers between 0 and 1. | |
Concepts | A Value Domain defined by an expression. | For example: All real decimal numbers between 0 and 1. | |
Concepts | The name given to an object for identification. | The association of a Concept with a sign that denotes it. | |
Concepts | A Conceptual Domain expressed as a list of Categories. | For example, the Sex Categories: 'Male' and 'Female' | |
Concepts | A Value Domain expressed as a list of Categories and associated Codes. | Example - Sex Codes <m, male>; <f, female>; <o, other>. | |
Concepts | The use of a Represented Variable within a Data Set. It may include information about the source of the data. | The Instance Variable is used to describe actual instances of data that have been collected. Here are 3 examples: | |
Concepts | A Statistical Classification has a structure which is composed of one or several Levels. A Level often is associated with a Concept, which defines it. In a hierarchical classification the Classification Items of each Level but the highest are aggregated to the nearest higher Level. A linear classification has only one Level. | A Statistical Classification is a subtype of Node Set. The relationship between Statistical Classification and Level can also be extended to include the other Node Set types - Code Listand Category Set. | |
Concepts | A Map is an expression of the relation between a Classification Item in a source Statistical Classificationand 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. | |
Concepts | 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 Unitfor a given Measurement Type e.g. currency. Each Measurement Type has as a standard at most one Measurement Unit. | |
Concepts | A Measurement Unit is the metric for a measurement in terms of an official unit of measurement. | Measurement Units can be based on different Measurement Types such as weight, height, currency, duration etc. Measurement Units can be transformed into one another (e.g. kilometres into metres) if they refer to the same Measurement Type (e.g. length). The conversion rule attribute can be used to include a multiplicative factor e.g. the non-standard Measurement Unit ‘1000 kg’ = 1000 x the standard Measurement Unit ‘kg’. | |
Concepts | A combination of a Category and related attributes. | A Node is created as a Category, Code or Classification Item for the purpose of defining the situation in which the Category is being used. | |
Concepts | A set of Nodes. | Node Set is a kind of Concept System. Here are 2 examples:
2) Sex Codes
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Concepts | The total membership of a defined class of people, objects or events. | A Population is used to describe the total membership of a group of people, objects or events based on characteristics, e.g. time and geographic boundaries. Here are 3 examples – 2. Computer companies in the US at the end of 2012 3. Universities in the US 1 January 2011 | |
Concepts | A combination of a characteristic of a population to be measured and how that measure will be represented. | Examples: The Represented Variable "Sex of Person [1,2,3]", has the Variable (Sex of Person) and the representation (1=Male, 2=Female, 3=Other). | |
Concepts | Sentinel Value Domains can be enumerated (listed) or described. A Value Domain expressed as a list of Categories for sentinel values or a description thereof. The scope and the meaning of the possible values are defined within the frame of the Conceptual Domain that the Sentinel Value Domain is associated with. | Separating the sentinel values from the substantive ones allows a large reduction in the number of Value Domains, and thus Represented Variables and Instance Variables, that need to be maintained. Use of generic codes is recommended for Concepts which appear in many, if not, all Code Lists, e.g. <S_X, Unspecified>, <S_Z, Not applicable>, < S_R, Refusal>, <S_U, Unknown> | |
Concepts | A Statistical Classification is a set of Categories which may be assigned to one or more variables registered in statistical surveys or administrative files, and used in the production and dissemination of statistics. In a standard Statistical Classification, the Categories at each Level of the classification structure must be mutually exclusive and jointly exhaustive of all objects/units in the population of interest. | The Categories are defined with reference to one or more characteristics of a particular population of units of observation. A Statistical Classification may have a flat, linear structure or may be hierarchically structured, such that all Categoriesat lower Levels are sub-Categories of Categories at the next Level up. Categoriesin Statistical Classifications are represented in the information model as Classification Items. | |
Concepts | One or more Concept Systems used for the grouping of Concepts and Categories for the production of statistics. | A Subject Field is a field of special knowledge under which a set of Concepts and their Designations is used. For example, labour market, environmental expenditure, tourism, etc. | |
Concepts | Substantive Value Domains can be enumerated (listed) or described. They define the specific valid values (Value Domain) for Instance Variables. The scope and the meaning of the possible values are defined within the frame of the Conceptual Domain that the Substantive Value Domain is associated with. | Example: <0, Pre-primary>, <1, Primary>, <2, Lower secondary>, < 3, Upper secondary>, <4, Post-secondary non-tertiary>, <5, First stage of tertiary education>, <6, Second stage of tertiary education> where the scope and meaning of the values are defined within Categories for levels of education. | |
Concepts | The object of interest in a Business Process. | Here are 3 examples:
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Concepts | A Unit Type is a class of objects of interest. | A Unit Type is used to describe a class or group of Units based on a single characteristic, but with no specification of time and geography. For example, the Unit Type of “Person” groups together a set of Units based on the characteristic that they are ‘Persons’. It concerns not only Unit Types used in dissemination, but anywhere in the statistical process. E.g. using administrative data might involve the use of a fiscal unit. | |
Concepts | A defined class of people, entities, events, or objects, with no specification of time and geography, contextualizing a Unit Type. | The description statement of a Universe is generally stated in inclusive terms such as “All persons with a university degree”. Occasionally a Universe is defined by what it excludes, i.e., “All persons except those with a university degree”. | |
Concepts | The set of permissible values for a Variable. | The values can be described by enumeration or by an expression. | |
Concepts | The use of a Concept as a characteristic of a Population intended to be measured. | The Variable combines the meaning of a Concept with a Unit Type, to define the characteristic that is to be measured. Here are 3 examples:
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Exchange | A source of administrative information which is obtained from an external organisation (or sometimes from another department of the same organisation). | The Administrative Register is a source of administrative information obtained usually from external organisations. The Administrative Register would be provided under a Provision Agreement with theInformation Provider. This administrative information is usually collected for an organisation's operational purposes, rather than for statistical purposes. | |
Exchange | A concrete and usable tool to pass information between two sources, usually by a machine to machine mechanism. | Examples of Data Harvest channels include web scraper, API, scanner, sensor, satellite, etc. | |
Exchange | A means of exchanging information. | An abstract object that describes the means to receive or send information. The Exchange Channel is used for external and internal purposes. Different Exchange Channels are used for collection and dissemination. Examples of Exchange Channel for receiving information include Questionnaire and Administrative Register. An example of Exchange Channel for sending information is Product. Additional Exchange Channels can be added to the model as needed by individual organizations. | |
Exchange | An Individual or Organization that consumes disseminated data. | The Information Consumer accesses a set of information via a Product (or potentially via another Exchange Channel), which contains one or more Presentations. The Information Consumer's access to the information is subject to a Provision Agreement, which sets out conditions of access. | |
Exchange | An Individual or Organization that provides collected information. | An Information Provider possesses sets of information (that it has generated, collected, produced, bought or otherwise acquired) and is willing to supply that information (data or referential metadata) to the statistical organization. The two parties use a Provision Agreement to agree the Data Structure and Referential Metadata Structure of the data to be exchanged via an Exchange Channel. | |
Exchange | The use of a Question in a particular Questionnaire. | The Instance Question is the use of a Question in a particular Questionnaire Component. This also includes the use of the Questionin a Question Block, which is a particular type of Questionnaire Component. | |
Exchange | The use of a Question Block in a particular Questionnaire. | The Instance Question Block is the use of a Question Block in a particular Questionnaire Component. This also includes the use of a Question Block in another Question Block, as it is a particular type of Questionnaire Component. | |
Exchange | The use of a Statement in a particular Questionnaire. | The Instance Statement is the use of a Statement in a particular Questionnaire Component. This also includes the use of the Statement in a Question Block, which is a particular type of Questionnaire Component. | |
| Output Specification | Exchange | Defines how Information Sets consumed by a Product are presented to Information Consumers. | The Output Specification specifies Products and defines the Presentations they contain. The Output Specification may be fully defined during the design process (such as in a paper publication or a predefined web report), or may be a combination of designed specification supplemented by user selections (such as in an online data query tool). |
| Presentation | Exchange | The way data and referential metadata are presented in a Product. | A Product has one or more Presentations, which present data and referential metadata from Information Sets. A Presentation is defined by an Output Specification.
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Exchange | A package of content that can be disseminated as a whole. | A Product is a type of Exchange Channel for outgoing information. A Product packages Presentations of Information Sets for an Information Consumer. The Product and its Presentations are generated according to Output Specifications, which define how the information from theInformation Sets it consumes are presented to the Information Consumer. The Protocol for a Product determines the mechanism by which the Product is disseminated (e.g website, SDMX web service, paper publication). A Provision Agreement between the statistical organization and the Information Consumer governs the use of a Product by the Information Consumer. The Provision Agreement, which may be explicitly or implicitly agreed, provides the legal or other basis by which the two parties agree to exchange data. In many cases, dissemination Provision Agreements are implicit in the terms of use published by the statistical organization. For static Products (e.g. paper publications), specifications are predetermined. For dynamic Products, aspects of specification could be determined by the Information Consumer at run time. Both cases result in Output Specifications specifying Information Set data or referential metadata that will be included in each Presentation within the Product. | |
Exchange | The mechanism for exchanging information through an Exchange Channel. | A Protocol specifies the mechanism (e.g. SDMX web service, data file exchange, web robot, face to face interview, mailed paper form) of exchanging information through an Exchange Channel. | |
Exchange | The legal or other basis by which two parties agree to exchange data. | A Provision Agreement between the statistical organization and the Information Provider (collection) or the Information Consumer(dissemination) governs the use of Exchange Channels. The Provision Agreement, which may be explicitly or implicitly agreed, provides the legal or other basis by which the two parties agree to exchange data. The parties also use the Provision Agreement to agree the Data Structure and Referential Metadata Structure of the information to be exchanged. | |
Exchange | Describes the text used to elicit a response for the Concept to be measured. | A Question may be a single question used to obtain a response, or may be a multiple question, a construct which links multiple sub-questions, each with their own response. A Question also includes a relationship to the Value Domain to document the associated response criteria for the question. A single response question will have one Value Domain associated with it, while a 'multiple question' may have more than one Value Domain. A Question should be designed with re-use in mind, as it can be used in multiple Questionnaires. In a national implementation, Question could be further subtyped into:
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Exchange | A set of Questions, Statements or instructions which are used together. | A Question Block should be designed for reuse, as it can be used in multiple Questionnaires. The Question Block is a type of Questionnaire Component. A statistical organization will often have a number of Question Blocks which they reuse in a number of Questionnaires. Examples of Question Blocks include:
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Exchange | A concrete and usable tool to elicit information from observation Units. | This is an example of a way statistical organizations collect information (an Exchange Channel). Each collection mode (e.g. in-person, CAPI, online Questionnaire) should be interpreted as a new Questionnaire derived from the Questionnaire Specification. The Questionnaire is a tool in which data is obtained. | |
Exchange | A record of the flow of a QuestionnaireSpecification and its use of Questions, Question Blocks and Statements. | Defines the structure of the Questionnaire Specification, as a combination of Questions, Question Blocks and Statements. It is the object which groups together all the components of a Questionnaire. A Questionnaire Component is recursive, in that it can refer to other Questionnaire Components and accompanying Questionnaire Logic objects at a lower level. It is only at the top level where the Questionnaire Component links to the Questionnaire Specification. | |
Exchange | Governs the sequence of Questions, Question Blocks and Statements based on factors such as the current location, the response to the previous questions etc., invoking navigation and validation rules to apply. | ||
| Questionnaire Specification | Exchange | The tool designed to elicit information from observation Units. | This represents the complete questionnaire design, with a relationship to the top level Questionnaire Component. There may be many different Questionnaire Specifications, for the same surveys, or tailored to individual observation Units(respondents) so that there would be a different Questionnaire Specification for each respondent. The design would also differ depending upon the specific mode of collection the Questionnaire is designed for. |
Exchange | A report of facts in a Questionnaire | Statements are often included to provide further explanation to respondents. Example: "The following questions are about your health". The object is also used to represent completion instructions for the interviewer or respondent. Statement should be designed with re-use in mind as it can be used in numerous Questionnaires. | |
Exchange | A Statistical Register is a register that is a regularly updated list of Units and their properties that is designed for statistical purposes. | A Statistical Register provides an (ideally) complete inventory of the Units within a specific Population, and describes these Units using different characteristics. One example is the statistical business register held within a statistical organization. All the Units in a Statistical Register have an identifier that makes it possible to update theStatistical Register with new information on the Units. | |
Structures | The role given to a Represented Variable in the context of a Data Structure, which supplies information other than identification or measures. | For example:
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Structures | A placeholder (or cell) for the value of an Instance Variable. | Field in a Data Structure which corresponds to a cell in a table. The Data Point is structural and distinct from the value (the Datum) that it holds. | |
Structures | An organized collection of stored information made of one or more Data Sets. | Data Resources are collections of data that are used by a statistical activity to produce information. Data Resource is a specialization of an Information Resource. | |
Structures | An organized collection of data. | Examples of Data Sets could be observation registers, time series, longitudinal data, survey data, rectangular data sets, event-history data, tables, data tables, cubes, registers, hypercubes, and matrixes. A broader term for Data Set could be data. A narrower term for Data Set could be data element, data record, cell, field. | |
Structures | Defines the structure of an organized 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). | |
Structures | The 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.
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Structures | A placeholder (or cell) for the value of an Instance Variable with respect to either a Unit or Population. | A Dimensional Data Point is uniquely identified by the combination of exactly one value for each of the dimensions (Identifier Component) and one measure (Measure Component). There may be multiple values for the same Dimensional Data Point that is for the same combination of dimension values and the same measure. The different values represent different versions of the data in the Data Point. Values are only distinguished on the basis of quality, date/time of measurement or calculation, status, etc. This is handled through the mechanisms provided by the Datum information object. | |
Structures | A collection of dimensional data that conforms to a known structure. | ||
Structures | Describes the structure of a Dimensional Data Set. | For example, (country, gender, number of citizens) where the country is the Identifier Component and the number of citizens is a Measure Component. | |
Structures | The role given to a Represented Variable in the context of a Data Structure to identify the unit in an organized collection of data. | An Identifier Component is a sub-type 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. | |
Structures | An abstract notion that is any organized collection of 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. | |
| Structures | Organized collections of statistical content. | Statistical organizations collect, 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. | |
Structures | Describes a type of Unit Data Record for one Unit Type within a Unit Data Set. | Examples: household, person or dwelling record. | |
Structures | The role given to a Represented Variable in the context of a Data Structure to hold the observed/derived values for a particular Unit in an organized collection of data. | A Measure Component is a sub-type 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). | |
Structures | Describes relationships between Logical Records within a Unit Data Structure. It must have both a source Logical Record and a target Logical Record in order to define the relationship. | Example: Relationship between person and household Logical Records within a Unit Data Set. | |
Structures | The role given to a Represented Variable to supply information in the context of a Referential Metadata Structure. | A Referential Metadata Structure defines a structured list of Referential Metadata Attributes for a given Referential Metadata Subject. Examples of Referential Metadata Attributes are those that describe quality information and methodologies. | |
Structures | The content describing a particular characteristic of a Referential Metadata Subject. | A Referential Metadata Content Item contains the actual content describing a particular characteristic of a Referential Metadata Subject. | |
Structures | An organized collection of stored information consisting of one or more Referential Metadata Sets. | Referential Metadata Resources are collections of structured information that may be used by a statistical activity to produce information. This information object is a specialization of an Information Resource. | |
Structures | An organized collection of referential metadata for a given Referential Metadata Subject. | Referential Metadata Sets organize referential metadata. Each Referential Metadata Set uses a Referential Metadata Structure to define a structured list of Referential Metadata Attributes for a given Referential Metadata Subject. | |
| Referential Metadata Structure | Structures | Defines the structure of an organized collection of referential metadata (Referential Metadata Set). | A Referential Metadata Structure defines a structured list of Referential Metadata Attributes for a given Referential Metadata Subject. Examples of Referential Metadata Attributes are those that describe quality information and methodologies. Examples of subject are: objects like a Questionnaire or a Statistical Classification, or collections of data like a Data Set, or any Data Point or set of Data Points created from a specific Data Structure. |
Structures | Identifies the subject of an organized collection of referential metadata. | 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 object type, or any Data Point or set of Data Points created from a specific Data Structure. Examples: The GSIM object type may be Product for which there is a list specified in a Value Domain. The Value Domain specifies the list of actual Products for which reference metadata can be reported or authored using this Referential Metadata Structure. | |
Structures | Identifies the 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. | |
Structures | A placeholder (or cell) for the value of an Instance Variable with respect to a Unit. | This placeholder may point to multiple values representing different versions of the data. Values are only distinguished on the basis of quality, date/time of measurement or calculation, status, etc. This is handled through the mechanisms provided by the Datum information object. | |
Structures | Contains the specific values (as a collection of Unit Data Points) related to a given Unit as defined in a Logical Record. | For example (1212123, 48, American, United Kingdom) specifies the age (48) in years on the 1st of January 2012 in years, the current citizenship (American), and the country of birth (United Kingdom) for a person with social security number 1212123. | |
Structures | A collection of data that conforms to a known structure and describes aspects of one or more Units. | Example: A synthetic unit record file is a collection of artificially constructed Unit Data Records, combined in a file to create a Unit Data Set. | |
Structures | Describes the structure of a Unit Data Set. | 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. |