Changes for page SDMX 3.0 Standards. Summary of Major Changes and New Functionality
Last modified by Helena on 2025/09/10 11:19
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... ... @@ -247,8 +247,8 @@ 247 247 248 248 Reference metadata has been substantially re-designed for version 3.0 to simplify the model and better support practical use cases. 249 249 250 - (% class="wikigeneratedid" id="HSimplifyMetadataStructureDefinition"%)251 - **Simplify Metadata Structure Definition**250 +=== Simplify Metadata Structure Definition === 251 + 252 252 The Metadata Structure Definition (MSD) has been simplified to remove target information, and the support of multiple report structures. The MSD now only contains Metadata Attributes which are used to define the structure of a report. 253 253 254 254 [[image:SDMX 3-0-0 Major Changes FINAL-1.0_en_ad5f5c97.png||height="346" width="494"]] ... ... @@ -259,8 +259,8 @@ 259 259 260 260 //Figure 3 the simplified version 3.0 MSD// 261 261 262 - (% class="wikigeneratedid" id="HChangetoreferencemetadatareportedagainstdata"%)263 - **Change to reference metadata reported against data**262 +=== Change to reference metadata reported against data === 263 + 264 264 Reference metadata associated with datasets, data series or observations are now reported with the data. The dataset’s DSD must reference an MSD to define the structure of its reference metadata. In practice reference metadata for data are transmitted as part of the data message. The metadata attributes are treated in a similar way to the data attributes appearing in the message at the dataset, data series or individual observation level as appropriate. In contrast to simple data attributes, metadata attributes defined by an MSD can be organised into a hierarchical structure as illustrated in Figure 3 above. For this reason, metadata attributes appear in data messages structured in the same way as metadata messages. 265 265 266 266 The SDMX-ML example below is an excerpt from a structure specific data message illustrating reporting of reference metadata with a hierarchical structure at the observation level. ... ... @@ -312,16 +312,16 @@ 312 312 > </Metadata> 313 313 > </Obs> 314 314 315 - (% class="wikigeneratedid" id="HNew-MetadataProvisionAgreement"%)316 - **New - Metadata Provision Agreement**315 +=== New - Metadata Provision Agreement === 316 + 317 317 In version 2.1 a Provision Agreement could be used to report information against a Dataflow or Metadataflow. From version 3.0 this is managed by two separate structures, the Data Provision Agreement and the Metadata Provision Agreement. 318 318 319 - (% class="wikigeneratedid" id="HMovetargettoMetadataflowandMetadataProvisionAgreement"%)320 - **Move target to Metadataflow and Metadata Provision Agreement**319 +=== Move target to Metadataflow and Metadata Provision Agreement === 320 + 321 321 For reference metadata that is reported against structures, the allowable targets information which is used to specify what structures the reference metadata can be reported against, has moved to the Metadataflow and can be further refined in the Metadata Provision Agreement. 322 322 323 - (% class="wikigeneratedid" id="HAddmaintainablepropertiestoreferencemetadata"%)324 - **Add maintainable properties to reference metadata**323 +=== Add maintainable properties to reference metadata === 324 + 325 325 A Metadataset now has mandatory identification information, (owner id, id, version) enabling metadata providers to uniquely identify their reports for create, update or delete maintenance operations. 326 326 327 327 == 3.5 Microdata Exchange == ... ... @@ -328,10 +328,14 @@ 328 328 329 329 Several changes have been made the Data Structure Definition to support microdata use cases in addition to aggregated time series. 330 330 331 -(% class="wikigeneratedid" id="HMultiplemeasures" %) 332 -**Multiple measures** 333 -Multiple measures are a common characteristic of microdatasets. To support this use case, the MeasureDimension has been deprecated and replaced with the option to define zero or more measures. Measures now act like any other component in that they use concepts, can have their own local coded or uncoded representation defined within the Data Structure Definition, and can be either mandatory or conditional. Creating a measure with the “MEASURE” concept role applied emulates the version 2.1 MeasureDimension behaviour as illustrated in the SDMX-ML example below: 331 +=== Multiple measures === 334 334 333 +Multiple measures are a common characteristic of microdatasets. To support this use case, the MeasureDimension has been deprecated and replaced with the option to define zero or more measures. Measures now act like any other component in that they use concepts, can have their own local coded or uncoded representation defined within the 334 + 335 +Data Structure Definition, and can be either mandatory or conditional. Creating a measure with the “MEASURE” concept role applied emulates the version 2.1 336 + 337 +MeasureDimension behaviour as illustrated in the SDMX-ML example below: 338 + 335 335 > <str:MeasureList id=”MeasureDescriptor”> 336 336 > <str:Measure id=”OBS_VALUE” minOccurs=”1” maxOccurs=”1” usage=”mandatory” > <str:ConceptIdentity> 337 337 > <Ref id=”OBS_VALUE” maintainableParentID=”CONCEPTS” agencyID=”SDMX” maintainableParentVersion=”1.0.0” /> ... ... @@ -347,18 +347,20 @@ 347 347 > <str:Measure> 348 348 > </str:MeasureList> 349 349 350 - (% class="wikigeneratedid" id="HMulti-valuemeasuresandattributes"%)351 - **Multi-value measures and attributes**354 +=== Multi-value measures and attributes === 355 + 352 352 Both measures and attributes have been extended with the option to take ‘arrays’ of 193 multiple coded or uncoded values. This supports use cases like multiple observation 194 status flags. New //minOccurs// and //maxOccurs// properties define the valid number of 195 values. The //usage// property separately defines whether the measure or attribute is //mandatory// or optional. In the SDMX-ML measure example above, the properties //minOccurs=”1” maxOccurs=”1” usage=”mandatory”// specify that OBS_VALUE must be 198 reported, and can only consist of a single value. 353 353 354 - (% class="wikigeneratedid" id="HAttributesrelationshiptomeasures"%)355 - **Attributes relationship to measures**358 +=== Attributes relationship to measures === 359 + 356 356 In addition to attaching attributes to a specific level within the dataset, their relationship 202 to measures can also be defined. 357 357 358 -(% class="wikigeneratedid" id="HValuelists" %) 359 -**Value lists** 360 -Value lists help in modelling microdata by providing an enumeration similar to code lists 206 but allowing any string values without being restricted to the rules of SDMX identifiers. That allows ValueItems (the equivalent to Code) to contain symbols like ‘¥’ and ‘€’, but also means they are not identifiable. 362 +=== Value lists === 361 361 364 +Value lists help in modelling microdata by providing an enumeration similar to code lists 206 but allowing any string values without being restricted to the rules of SDMX identifiers. 365 + 366 +That allows ValueItems (the equivalent to Code) to contain symbols like ‘¥’ and ‘€’, but 208 also means they are not identifiable. 367 + 362 362 == 3.6 Geospatial Data Exchange == 363 363 364 364 The version 3.0 model has been extended to provide explicit support for geospatial data. ... ... @@ -380,8 +380,8 @@ 380 380 381 381 The version 2.1 Codelist Map been replaced with Representation Map which allows mappings to be defined between any combination of Code Lists, Value Lists and noncoded representations such as text strings and numbers. 382 382 383 - (% class="wikigeneratedid" id="HMany-to-manysourceandtargetcomponents"%)384 - **Many-to-many source and target components**389 +=== Many-to-many source and target components === 390 + 385 385 Structure mapping rules may be defined with both multiple source components and multiple target components in contrast to version 2.1 where only one source and target was allowed. That supports many-to-many (n-n) mapping use cases where the output of a mapping rule may be dependent on the combination of a number of input components. For instance: 386 386 387 387 Set the output component INDICATOR=”DE_A” if the input components are FREQ=”A” and REF_AREA=”DE”. ... ... @@ -391,18 +391,19 @@ 391 391 Set the output components FREQ=”A”, REF_AREA=”DE” if the input component INDICATOR=”DE_A”. 392 392 393 393 **Fixed source and target** 400 + 394 394 The Structure Map may now define input or output components which have a fixed value. 395 395 396 - (% class="wikigeneratedid" id="HTimerepresentationsmapping"%)397 - **Time representations mapping**403 +=== Time representations mapping === 404 + 398 398 Non SDMX time representations may now be described in a Structure Map, allowing them to be mapped into SDMX time formats. 399 399 400 - (% class="wikigeneratedid" id="HRegularexpressionandsubstringmappings"%)401 - **Regular expression and substring mappings**407 +=== Regular expression and substring mappings === 408 + 402 402 All item maps allow the use of regular expressions and substrings to match source values, specifically: Concept Scheme Map, Reporting Taxonomy Map, Category Scheme Map and Organisation Scheme Map. 403 403 404 - (% class="wikigeneratedid" id="HItemmapsvalidityperiod"%)405 - **Item maps validity period**411 +=== Item maps validity period === 412 + 406 406 Item maps may further define the period for which the mapping is valid, meaning the mapping rule will only be applied if the row of information being mapped is within the period. 407 407 408 408 == 3.8 Constraints ==