Changes for page SDMX 3.1 Standards. Section 1. Framework

Last modified by Artur on 2025/09/30 12:30

From 4.3 to 4.4 From 5.2 to 6.1

From version 4.4

edited by Helena
on 2025/06/06 16:55

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To version 5.2

edited by Helena
on 2025/06/06 16:57

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@@ -14,7 +14,7 @@
  The SDMX Technical Specifications are organised into several discrete sections.
--The following are published on the SDMX website ([[__https:~~/~~/www.sdmx.org__>>url:https://www.sdmx.org/]][[)>>url:https://www.sdmx.org/]]:
++The following are published on the SDMX website ([[__https:~~/~~/www.sdmx.org__>>https://https:www.sdmx.org]]):
  **Section 1** **Framework for SDMX Technical Standards** – this document providing an introduction to the technical standards.
@@ -148,9 +148,9 @@
  • Registering Reference Metadata removed from documentation, to align with XML Registration object which is unable to reference a Metadata Provision, and REST API which is unable to query for registered reference metadata sources.
--= {{id name="_Toc56636"/}}3 Processes and Business Scope =
++= 3 Processes and Business Scope =
--== {{id name="_Toc56637"/}}3.1 Process Patterns ==
++== 3.1 Process Patterns ==
  SDMX identifies three basic process patterns regarding the exchange of statistical data and metadata. These can be described as follows:
@@ -170,7 +170,7 @@
  It is important to note that SDMX is primarily focused on the //exchange// and //dissemination// of statistical data and metadata. There may also be many uses for the standard model and formats specified here in the context of internal processing of data that are not concerned with the exchange between organizations and users, however. It is felt that a clear, standard formatting of data and metadata for the purposes of exchange and dissemination can also facilitate internal processing by organizations and users, but this is not the focus of the specification.
--== {{id name="_Toc56638"/}}3.2 SDMX and Process Automation ==
++== 3.2 SDMX and Process Automation ==
  Statistical data and metadata exchanges employ many different automated processes, but some are of more general interest than others. There are some common information technologies that are nearly ubiquitous within information systems today. SDMX aims to provide standards that are most useful for these automated processes and technologies.
@@ -178,15 +178,12 @@
 . //Batch Exchange of Data and Metadata~:// The transmission of whole or partial databases between counterparties, including incremental updating.
 . //Provision of Data and Metadata on the Internet~:// Internet technology - including its use in private or semi-private TCP/IP networks - is extremely common. This technology includes XML, JSON and REST web services as primary mechanisms for automating data and metadata provision, as well as the more traditional static HTML and database-driven publishing.
--1. //Generic Processes~:// While many applications and processes are specific to some set of data and metadata, other types of automated services and processes are designed
--
--to handle any type of statistical data and metadata whatsoever. This is particularly true in cases where portal sites and data feeds are made available on the Internet.
--
++1. //Generic Processes~:// While many applications and processes are specific to some set of data and metadata, other types of automated services and processes are designed to handle any type of statistical data and metadata whatsoever. This is particularly true in cases where portal sites and data feeds are made available on the Internet.
 . //Presentation and Transformation of Data~:// In order to make data and metadata useful to consumers, they must support automated processes that transform them into application-specific processing formats, other standard formats, and presentational formats. Although not strictly an aspect of exchange, this type of automated processing represents a set of requirements that must be supported if the information exchange between counterparties is itself to be supported.
  The SDMX standards specified here are designed to support the requirements of all of these automation processes and technologies.
--== {{id name="_Toc56639"/}}3.3 Statistical Data and Metadata ==
++== 3.3 Statistical Data and Metadata ==
  To avoid confusion about which "data" and "metadata" are the intended content of the SDMX formats specified here, a statement of scope is offered. Statistical "data" are sets of often numeric observations which typically have time associated with them. They are associated with a set of metadata values, representing specific concepts, which act as identifiers and descriptors of the data. These metadata values and concepts can be understood as the named dimensions of a multi-dimensional co-ordinate system, describing what is often called a "cube" of data.
@@ -208,7 +208,7 @@
  **Figure 1: High Level Schematic of Major Artefacts in the SDMX 3.0 Information Model**
--== {{id name="_Toc56640"/}}3.4 The SDMX View of Statistical Exchange ==
++== 3.4 The SDMX View of Statistical Exchange ==
  Version 1.0 of ISO/TS 17369 SDMX covered statistical data sets and the metadata related to the structure of these data sets. This scope was useful in supporting the different models of statistical exchange (bilateral exchange, gateway exchange, and data-sharing) but was not by itself sufficient to support them completely. Versions 2.0 and 2.1 provide a much more complete view of statistical exchange, so that an open data-sharing model can be fully supported, and other models of exchange can be more completely automated. In order to produce technical standards that will support this increased scope, the SDMX Information Model provides a broader set of formal objects which describe the actors, processes, and resources within statistical exchanges.
@@ -261,7 +261,7 @@
  • //**Transformation Scheme:**// A transformation scheme is a set of Validation and Transformation Language (VTL) transformations aimed at obtaining some meaningful results for the user (e.g., the validation of one or more data sets). The set of transformations is meant to be executed together (in the same run) and may contain 597 any number of transformations in order to produce any number of results. Thus, a transformation scheme can be considered as a VTL ‘program’.
--== {{id name="_Toc56641"/}}3.5 SDMX Registry Services ==
++== 3.5 SDMX Registry Services ==
  In order to provide visibility into the large amount of data and metadata which exists within the SDMX model of statistical exchange, it is felt that an architecture based on a set of registry services is potentially useful. A “registry” – as understood in webservices terminology – is an application which maintains and stores metadata for querying, and which can be used by any other application in the network with sufficient access privileges (though note that the mechanism of access control is outside of the scope of the SDMX standard). It can be understood as the index of a distributed database or metadata repository which is made up of all the data provider’s data sets and reference metadata sets within a statistical community, located across the Internet or similar network.
@@ -276,7 +276,7 @@
  * //**Querying: **//The registry services have interfaces for querying the metadata contained in a registry, so that applications and users can discover the existence of data sets and reference metadata sets, structural metadata, the providers/agencies associated with those objects, and the provider agreements which describe how the data and metadata are made available, and how they are categorized.
  * //**Subscription/Notification:**// It is possible to “subscribe” to specific objects in a registry, so that a notification will be sent to all subscribers whenever the registry objects are updated.
--== {{id name="_Toc56642"/}}3.6 RESTful Web services ==
++== 3.6 RESTful Web services ==
  Web services allow computer applications to exchange data directly over the Internet, essentially allowing modular or distributed computing in a more flexible fashion than ever before. In order to allow web services to function, however, many standards are required: for requesting and supplying data; for expressing the enveloping data which is used to package exchanged data; for describing web services to one another, to allow for easy integration into applications that use other web services as data resources.
@@ -291,7 +291,7 @@
  The following conceptual example uses the ‘data’ resource to query a data repository for a series identified by the key ‘M.USD.EUR.SP00.A’ in the EXR (ECB exchange rates) Dataflow: https:~/~/ws-entry-point/data/dataflow/ECB/EXR/1.0.0/M.USD.EUR.SP00.A
--= {{id name="_Toc56643"/}}4 The SDMX Information Model =
++= 4 The SDMX Information Model =
  SDMX provides a way of modelling statistical data, and defines the set of metadata constructs used for this purpose. Because SDMX specifies a number of transmission formats for expressing data and structural metadata, the model is used as a mechanism for guaranteeing that transformation between the different formats is lossless. In this sense, all of the formats are syntax-bound expressions of the common information model.
@@ -307,9 +307,9 @@
  A full UML conceptual design of the information model is set out in Section 2 of the Technical Specifications.
--= {{id name="_Toc56644"/}}5 The SDMX Transmission Formats =
++= 5 The SDMX Transmission Formats =
--== {{id name="_Toc56645"/}}5.1 SDMX-ML ==
++== 5.1 SDMX-ML ==
  SDMX-ML is the XML transmission format specification for exchanging structural metadata, data and reference metadata, and interacting with SDMX registry services. It is designed as a general-purpose format for all automation and data / metadata exchange tasks, and provides the most complete coverage.
@@ -337,7 +337,7 @@
 . //Data: //For the exchange of data. Unlike SDMX-ML, the structure of a SDMX-JSON data message is not specific to the DSDs of the data sets so schema validation will not check for compliance of the data with the DSDs.
 . //Metadata//: For the exchange of reference metadata sets.
--== {{id name="_Toc56647"/}}5.3 SDMX-CSV ==
++== 5.3 SDMX-CSV ==
  SDMX-CSV is the CSV transmission format specification for exchanging data and reference metadata only.
@@ -348,7 +348,7 @@
 . //Data//: For the exchange of data. Like SDMX-JSON, SDMX-CSV can include both code IDs and labels which is helpful when using the data to create human readable charts and dashboards.
 . //Metadata//: For the exchange of reference metadata sets.
--== {{id name="_Toc56648"/}}5.4 Formats and Messages Deprecated in Version 3.0 ==
++== 5.4 Formats and Messages Deprecated in Version 3.0 ==
  The following formats and messages have been deprecated in version 3.0 to simplify, modernise and rationalise the standard.
@@ -365,17 +365,17 @@
  * SDMX-ML Query messages
  * SDMX-ML Submit Structure Request messages
--= {{id name="_Toc56649"/}}6 Dependencies on SDMX content-oriented guidelines =
++= 6 Dependencies on SDMX content-oriented guidelines =
  The technical standards proposed here are designed so that they can be used in conjunction with other SDMX guidelines which are more closely tied to the content and semantics of statistical data exchange. The SDMX Information Model works equally well with any statistical concept, but to encourage interoperability, it is also necessary to standardize and harmonize the use of specific concepts and terminology. To achieve this goal, SDMX creates and maintains guidelines for cross-domain concepts, terminology, and structural definitions. There are three major parts to this effort.
--== {{id name="_Toc56650"/}}6.1 Cross-Domain Concepts ==
++== 6.1 Cross-Domain Concepts ==
  The SDMX Cross-Domain Concepts is a content guideline concerning concepts which are used across statistical domains. This list is expected to grow and to be subject to revision as SDMX is used in a growing number of domains. The use of the SDMX Cross-Domain Concepts, where appropriate, provides a framework to further promote interoperability among organisations using the technical standards presented here. The harmonization of statistical concepts includes not only the definitions of the concepts, and their names, but also, where appropriate, their representation with standard code lists, and the role they play within data structure definitions and metadata structure definitions.
  The intent of this guideline is two-fold: to provide a core set of concepts which can be used to structure statistical data and metadata, to promote interoperability between systems (“structural metadata”, as described above); and to promote the exchange of metadata more widely, with a set of harmonized concept names and definitions for other types of metadata (“reference metadata”, as defined above.)
--== {{id name="_Toc56651"/}}6.2 Metadata Common Vocabulary ==
++== 6.2 Metadata Common Vocabulary ==
  The Metadata Common Vocabulary is an SDMX guideline which provides definition of terms to be used for the comparison and mapping of terminology found in data structure definitions and in other aspects of statistical metadata management. Essentially, it provides ISOcompliant definitions for a wide range of statistical terms, which may be used directly, or against which other terminology systems may be mapped. This set of terms is inclusive of the terminology used within the SDMX Technical Standards.
@@ -383,17 +383,17 @@
  Concepts work is built.
--== {{id name="_Toc56652"/}}6.3 Statistical Subject-Matter Domains ==
++== 6.3 Statistical Subject-Matter Domains ==
  The Statistical Subject-Matter Domains is a listing of the breadth of statistical information for the purposes of organizing widespread statistical exchange and categorization. It acts as a standard scheme against which the categorization schemes of various counterparties can be mapped, to facilitate interoperable data and metadata exchange. It serves another useful purpose, however, which is to allow an organization of corresponding “domain groups”, each of which could define standard data structure definitions, concepts, etc. within their domains. Such groups already exist within the international community. SDMX would use the Statistical Subject-Matter Domains list to facilitate the efforts of these groups to develop the kinds of content standards which could support the interoperation of SDMX-conformant technical systems within and across statistical domains. The organisation of the content of such schemes is supported in SDMX as a Category Scheme.
  SDMX Statistical Subject-Matter Domains will be listed and maintained by the SDMX Initiative and will be subject to adjustment.
--== {{id name="_Toc56653"/}}6.4 SDMX Concept Roles ==
++== 6.4 SDMX Concept Roles ==
  These guidelines define the standard set of SDMX Concept Roles and their use. This set of standard SDMX Concepts are implemented as a cross-domain Concept Scheme that defines the set of concept roles and gives examples on concept role implementation in SDMX 2.0, 2.1 and 3.0. A concept role gives a particular context to a concept for easy and systematic interpretation by machine processing and visualization tools. For example, the concepts REPORTING_AREA and COUNTERPART_AREA are different concepts but they are both geographical characteristics, therefore they can be associated with the same concept role ID: "GEO". This allows visualization systems to interpret these concepts as geographical data in order to generate maps. The implementation of concept roles is different in versions 2.0 and 2.1/3.0 of the SDMX technical standard. Specifically for SDMX 3.0, this set of roles is considered a normative list that must be interpreted in the same way by all organisations. Additional roles may be provided via the standard roles’ mechanism in SDMX 3.0, i.e., via Concept Schemes; the semantics of these roles have to be agreed bilateraly in data exchanges. The Concept Roles are available as an SDMX Concept Scheme on the SDMX Global Registry.
--= {{id name="_Toc56654"/}}7 Validation and Transformation Language =
++= 7 Validation and Transformation Language =
  For many years the SDMX initiative has been fostering and supporting the development of a standard calculation language, called Validation and Transformation Language (VTL). A blueprint for defining calculations was already described in the original SDMX 2.1 specifications (package 13 of the Information Model - “Transformations and Expressions”). It was just a basic framework that required further developments to became operational in order to achieve a calculation language able to manipulate SDMX artefacts.