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... ... @@ -1,1 +1,1 @@ 1 - Notes onDataStructuring1 +SDMX 2.1 Standards. Section 1. Framework for SDMX technical standards - Content
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... ... @@ -1,15 +1,19 @@ 1 -Revision History 1 +{{box title="**Contents**"}} 2 +{{toc/}} 3 +{{/box}} 2 2 3 -|**Revision**|**Date**|**Contents** 4 -||April 2011|Initial release 5 -|1.0|July 2020|((( 6 -Added the last two sentences of the Section 1 – Introduction 5 +**Revision History** 7 7 7 +(% style="width:808.294px" %) 8 +|(% style="width:154px" %)**Revision**|(% style="width:118px" %)**Date**|(% style="width:533px" %)**Contents** 9 +|(% style="width:154px" %) |(% style="width:118px" %)April 2011|(% style="width:533px" %)Initial release 10 +|(% style="width:154px" %)1.0|(% style="width:118px" %)July 2020|(% style="width:533px" %)((( 11 +Added the last two sentences of the Section 1 – Introduction 8 8 Added the Section 10 –Validation and Transformation Language (VTL) 9 9 ))) 10 10 11 - 1.(((12 -= {{id name="_Toc38908"/}}Introduction = 15 +((( 16 += {{id name="_Toc38908"/}}1. Introduction = 13 13 ))) 14 14 15 15 The Statistical Data and Metadata Exchange (SDMX) initiative (http:~/~/www.sdmx.org) sets standards that can facilitate the exchange of statistical data and metadata using modern information technology, with an emphasis on aggregated data. ... ... @@ -22,14 +22,14 @@ 22 22 1. SDMX-ML - the XML format for the exchange of SDMX-structured data and metadata. This document has normative sections describing the use of the XML syntax in SDMX messages, and is accompanied by a set of normative XML schemas and non-normative sample XML document instances. 23 23 1. The SDMX Registry Specification provides for a central registry of information about available data and reference metadata, and for a repository containing structural metadata and provisioning information. This specification defines the basic services offered by the SDMX Registry: registration of data and metadata; querying for data and metadata; and subscription/notification regarding updates to the registry. This document has normative sections. 24 24 1. The SDMX Technical Notes – this is a guide to help those who wish to use the SDMX specifications. It includes notes on the expressive differences of the various messages and syntaxes; versioning; maintenance agencies; the SDMX Registry. This document is not normative. 25 -1. Web Services Guidelines – this is a guide for those who wish to implement SDMX using web-services technologies. It places an emphasis on those aspects of web-services technologies (including, but not requiring, an SDMXconformant registry) which will work regardless of the development environment or platform used to create the web services. This document contains normative sections.^^[[^^1^^>>path:#sdfootnote1sym||name="sdfootnote1anc"]]^^ 29 +1. Web Services Guidelines – this is a guide for those who wish to implement SDMX using web-services technologies. It places an emphasis on those aspects of web-services technologies (including, but not requiring, an SDMXconformant registry) which will work regardless of the development environment or platform used to create the web services. This document contains normative sections.^^[[(% class="wikiinternallink wikiinternallink" %)^^1^^>>path:#sdfootnote1sym||name="sdfootnote1anc"]](%%)^^ 26 26 27 27 In July 2020 it was released an important improvement of the SDMX 2.1 specifications for the SDMX implementation of the Validation and Transformation Language (VTL). This implied a revision of some of the SDMX 2.1 sections. The relevant changes are not described in the next section but in the section 10 below. 28 28 29 -Please note also that the SOAP and REST specifications are not maintained any more in the section 7 (Web Service Guidelines), the link to these specifications can be found on the SDMX website .33 +Please note also that the SOAP and REST specifications are not maintained any more in the section 7 (Web Service Guidelines), the link to these specifications can be found on the SDMX website 30 30 31 31 1. ((( 32 -= {{id name="_Toc38909"/}}Changes from Previous Version = 36 += {{id name="_Toc38909"/}}2. Changes from Previous Version = 33 33 ))) 34 34 35 35 The 2.0 version of this standard represented a significant increase in scope, and also provided more complete support in those areas covered in the version 1.0 specification. Version 2.0 of this standard is backward-compatible with version 1.0, so that existing implementations can be easily migrated to conformance with version 2.0. ... ... @@ -75,10 +75,10 @@ 75 75 **Support for partial item schemes such as a code list: **The concept of a 143 partial (sub-set) item scheme such as a partial code list for use in exchange scenarios has been introduced**.** 76 76 77 77 1. ((( 78 -= {{id name="_Toc38910"/}}Processes and Business Scope = 82 += {{id name="_Toc38910"/}}3. Processes and Business Scope = 79 79 80 80 1. ((( 81 -== {{id name="_Toc38911"/}}Process Patterns == 85 +== {{id name="_Toc38911"/}}3.1 Process Patterns == 82 82 ))) 83 83 ))) 84 84 ... ... @@ -102,7 +102,7 @@ 102 102 103 103 1. 104 104 11. ((( 105 -== {{id name="_Toc38912"/}}SDMX and Process Automation == 109 +== {{id name="_Toc38912"/}}3.2 SDMX and Process Automation == 106 106 ))) 107 107 108 108 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. ... ... @@ -118,7 +118,7 @@ 118 118 119 119 1. 120 120 11. ((( 121 -== {{id name="_Toc38913"/}}Statistical Data and Metadata == 125 +== {{id name="_Toc38913"/}}3.3 Statistical Data and Metadata == 122 122 ))) 123 123 124 124 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. ... ... @@ -143,7 +143,7 @@ 143 143 144 144 1. 145 145 11. ((( 146 -== {{id name="_Toc38914"/}}The SDMX View of Statistical Exchange == 150 +== {{id name="_Toc38914"/}}3.4 The SDMX View of Statistical Exchange == 147 147 ))) 148 148 149 149 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. ... ... @@ -202,7 +202,7 @@ 202 202 203 203 1. 204 204 11. ((( 205 -== {{id name="_Toc38915"/}}SDMX Registry Services == 209 +== {{id name="_Toc38915"/}}3.5 SDMX Registry Services == 206 206 ))) 207 207 208 208 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. ... ... @@ -220,7 +220,7 @@ 220 220 221 221 1. 222 222 11. ((( 223 -== {{id name="_Toc38916"/}}Web services == 227 +== {{id name="_Toc38916"/}}3.6 Web services == 224 224 ))) 225 225 226 226 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. ... ... @@ -235,7 +235,7 @@ 235 235 A normative list of common error codes: When web services are used, it is necessary to have error codes which can help to explain the situation when problems are encountered. Prior to version 2.1 of the SDMX standard, there was no set of agreed error codes for use with SDMX web services. Version 2.1 of the SDMX standard fills that gap. 236 236 237 237 1. ((( 238 -= {{id name="_Toc38917"/}}The SDMX Information Model = 242 += {{id name="_Toc38917"/}}4 The SDMX Information Model = 239 239 ))) 240 240 241 241 SDMX provides a way of modelling statistical data, and defines the set of metadata constructs used for this purpose. Because SDMX specifies formats in two syntaxes for expressing data and structural metadata, the model is used as a mechanism for guaranteeing that transformation between the different formats are lossless. All of the formats are syntax-bound expressions of the common information model. SDMX version 1.0 has based itself on GESMES/TS as an input to the model and formats, both to build on the proven success of this model for time series data exchange, and to ensure backward compatibility with existing GESMES/TS-based systems. Version 2.0/2.1 expands upon the version 1.0 basis to provide a more comprehensive model. ... ... @@ -253,7 +253,7 @@ 253 253 The SDMX Information Model is presented using UML, and is also described in prose. While the information model is not normative, it is a valuable tool for understanding and using the normative format specifications. 254 254 255 255 1. ((( 256 -= {{id name="_Toc38918"/}}SDMX-EDI = 260 += {{id name="_Toc38918"/}}5 SDMX-EDI = 257 257 ))) 258 258 259 259 The SDMX-EDI format is drawn from the GESMES/TS version 3.0 implementation guide, as published as a standard of the SDMX initiative. ... ... @@ -267,7 +267,7 @@ 267 267 EDIFACT syntax used for SDMX-EDI, and those found in the XML syntax of SDMXML. Since both syntactic implementations reflect the same logical constructs, SDMXEDI data and structural metadata messages can be transformed into corresponding SDMX-ML formats, and vice-versa. Thus, these standards provide for interoperability between the UN/EDIFACT-based and XML-based systems processing and exchanging statistical data and metadata. 268 268 269 269 1. ((( 270 -= {{id name="_Toc38919"/}}SDMX-ML = 274 += {{id name="_Toc38919"/}}6 SDMX-ML = 271 271 ))) 272 272 273 273 While the SDMX-EDI format is primarily designed to support batch exchange, SDMXML supports a wider range of requirements. XML formats are used for many different types of automated processing, and thus must support more varied processing scenarios. That is why there are several types of messages available as SDMX-ML formats. Each is suited to support a specific set of processing requirements. ... ... @@ -286,13 +286,13 @@ 286 286 Because all of the SDMX-ML formats are implementations of the same information model, and all the data and metadata messages are derivable from the Structure message which describes a data set or metadata set, it is possible to have standard mappings between each of the similar formats. These mappings can be implemented in generic transformation tools, useful to all SDMX-ML users, and not specific to a particular data set’s key family or metadata set’s structure definition (even though some of the formats they deal with may be). Part of the SDMX-ML package is the set of mappings between the structure-specific data and metadata formats and the Structure Definition format from which all are derivable. 287 287 288 288 1. ((( 289 -= {{id name="_Toc38920"/}}Conformance = 293 += {{id name="_Toc38920"/}}7 Conformance = 290 290 ))) 291 291 292 292 This section will contain a normative statement of what applications must do to be considered conformant with the SDMX version 2.1 specifications. This will address both the application functionality that must be supported, and the contents of an Implementer’s Conformance Statement regarding SDMX conformance. 293 293 294 294 1. ((( 295 -= {{id name="_Toc38921"/}}Dependencies on SDMX content-oriented guidelines = 299 += {{id name="_Toc38921"/}}8 Dependencies on SDMX content-oriented guidelines = 296 296 ))) 297 297 298 298 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 crossdomain concepts, terminology, and structural definitions. There are three major parts to this effort. ... ... @@ -299,7 +299,7 @@ 299 299 300 300 1. 301 301 11. ((( 302 -== {{id name="_Toc38922"/}}Cross-Domain Concepts == 306 +== {{id name="_Toc38922"/}}8.1 Cross-Domain Concepts == 303 303 ))) 304 304 305 305 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. ... ... @@ -308,7 +308,7 @@ 308 308 309 309 1. 310 310 11. ((( 311 -== {{id name="_Toc38923"/}}Metadata Common Vocabulary == 315 +== {{id name="_Toc38923"/}}8.2 Metadata Common Vocabulary == 312 312 ))) 313 313 314 314 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 ISO-compliant 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. ... ... @@ -317,7 +317,7 @@ 317 317 318 318 1. 319 319 11. ((( 320 -== {{id name="_Toc38924"/}}Statistical Subject-Matter Domains == 324 +== {{id name="_Toc38924"/}}8.3 Statistical Subject-Matter Domains == 321 321 ))) 322 322 323 323 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 SDMXconformant technical systems within and across statistical domains. The organisation of the content of such schemes is supported in SDMX as a Category Scheme. ... ... @@ -325,7 +325,7 @@ 325 325 SDMX Statistical Subject-Matter Domains will be listed and maintained by the SDMX Initiative and will be subject to adjustment. 326 326 327 327 1. ((( 328 -= {{id name="_Toc38925"/}}Looking Forward = 332 += {{id name="_Toc38925"/}}9 Looking Forward = 329 329 ))) 330 330 331 331 The SDMX initiative sees this set of data and metadata formats and registry services interfaces standards as useful in creating more efficient and open systems for statistical exchange. It is anticipated that SDMX will refine these standards further as they are implemented, so as to build on the interoperability enabled by having a set of standard formats and exchanges based on a common information model. ... ... @@ -333,7 +333,7 @@ 333 333 The review process for version 2.0 and 2.1 has suggested that future work should take advantage of a wider participation of the SDMX user community (statistical offices, central banks and other national and international organisations dealing with statistics) in further enhancing the Technical Standards and improving its use. 334 334 335 335 1. ((( 336 -= {{id name="_Toc38926"/}}Validation and Transformation Language = 340 += {{id name="_Toc38926"/}}10 Validation and Transformation Language = 337 337 ))) 338 338 339 339 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