Changes for page Standardising Reference Metadata Reporting in SDMX
Last modified by Artur K. on 2026/05/29 14:29
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... ... @@ -334,9 +334,9 @@ 334 334 335 335 === STATISTICAL PROCESSING === 336 336 337 -| (% style="width:415px" %)**Name**|(% style="width:1400px" %)**Definition**|(% style="width:257px" %)**Concept ID**338 -| (% style="width:415px" %)**Data compilation**|(% style="width:1400px" %)Operations performed on data to derive new information according to a given set of rules.|(% style="width:257px" %)DATA_COMP339 -| (% style="width:415px" %)**Adjustment**|(% style="width:1400px" %)(((337 +|**Name**|**Definition**|**Concept ID** 338 +|**Data compilation**|Operations performed on data to derive new information according to a given set of rules.|DATA_COMP 339 +|**Adjustment**|((( 340 340 Set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific Data Sets. 341 341 342 342 //Recommended usage. Use~:// ... ... @@ -343,11 +343,11 @@ 343 343 344 344 * //either the summary “Adjustment” concept but not the granular “xxx adjustment” concepts,// 345 345 * //or the granular “xxx adjustment” concepts but not the “Adjustment” concept.// 346 -)))| (% style="width:257px" %)ADJUSTMENT347 -| (% style="width:415px" %)**Price adjustment**|(% style="width:1400px" %)Statistical technique used to remove the effects of price influences operating on a data series.|(% style="width:257px" %)PRICE_ADJUST348 -| (% style="width:415px" %)**Seasonal adjustment**|(% style="width:1400px" %)Statistical technique used to remove the effects of seasonal and calendar influences operating on a data series.|(% style="width:257px" %)SEASONAL_ADJUST349 -| (% style="width:415px" %)**Data validation**|(% style="width:1400px" %)Process of monitoring the results of data compilation and ensuring the quality of the statistical results.|(% style="width:257px" %)DATA_VALIDATION350 -| (% style="width:415px" %)**Data revision**|(% style="width:1400px" %)(((346 +)))|ADJUSTMENT 347 +|**Price adjustment**|Statistical technique used to remove the effects of price influences operating on a data series.|PRICE_ADJUST 348 +|**Seasonal adjustment**|Statistical technique used to remove the effects of seasonal and calendar influences operating on a data series.|SEASONAL_ADJUST 349 +|**Data validation**|Process of monitoring the results of data compilation and ensuring the quality of the statistical results.|DATA_VALIDATION 350 +|**Data revision**|((( 351 351 Change in a value of a statistic released to the public. 352 352 353 353 //Recommended usage. Use~:// ... ... @@ -354,17 +354,18 @@ 354 354 355 355 * //either the summary “Data revision” concept but not the granular “Data revision xxx” concepts,// 356 356 * //or the granular “Data revision xxx” concepts but not the “Data revision” concept.// 357 -)))|(% style="width:257px" %)DATA_REV 358 -|(% style="width:415px" %)**Data revision - policy**|(% style="width:1400px" %)Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.|(% style="width:257px" %)REV_POLICY 359 -|(% style="width:415px" %)**Data revision - practice**|(% style="width:1400px" %)Information on the data revision practice.|(% style="width:257px" %)REV_PRACTICE 360 -|(% style="width:415px" %)**Data revision - studies**|(% style="width:1400px" %)Information about data revision studies and analyses.|(% style="width:257px" %)REV_STUDY 361 -|(% style="width:415px" %)**Imputation**|(% style="width:1400px" %)Procedure for entering a value for a specific data item where the response is missing or unusable.|(% style="width:257px" %)IMPUTATION 362 -|(% style="width:415px" %)**Imputation rate**|(% style="width:1400px" %)Ratio of the number of replaced values to the total number of values for a given variable.|(% style="width:257px" %)IMPUTATION_RATE 357 +)))|DATA_REV 358 +|**Data revision - policy**|Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised.|REV_POLICY 359 +|**Data revision - practice**|Information on the data revision practice.|REV_PRACTICE 360 +|**Name**|**Definition**|**Concept ID** 361 +|**Data revision - studies**|Information about data revision studies and analyses.|REV_STUDY 362 +|**Imputation**|Procedure for entering a value for a specific data item where the response is missing or unusable.|IMPUTATION 363 +|**Imputation rate**|Ratio of the number of replaced values to the total number of values for a given variable.|IMPUTATION_RATE 363 363 364 364 === QUALITY === 365 365 366 -| (% style="width:418px" %)**Name**|(% style="width:1401px" %)**Definition**|(% style="width:253px" %)**Concept ID**367 -| (% style="width:418px" %)**Quality management**|(% style="width:1401px" %)(((367 +|**Name**|**Definition**|**Concept ID** 368 +|**Quality management**|((( 368 368 Systems and frameworks in place within an organisation to manage the quality of statistical products and processes. 369 369 370 370 //Recommended usage. Use~:// ... ... @@ -371,15 +371,15 @@ 371 371 372 372 * //either the summary “Quality management” concept but not the granular “Quality management xxx” concepts,// 373 373 * //or the granular “Quality management xxx” concepts but not the “Quality management” concept.// 374 -)))| (% style="width:253px" %)QUALITY_MGMNT375 -| (% style="width:418px" %)**Quality management - quality assessment**|(% style="width:1401px" %)Overall evaluation of data quality, based on standard quality criteria.|(% style="width:253px" %)QUALITY_ASSMNT376 -| (% style="width:418px" %)**Quality management - quality assurance**|(% style="width:1401px" %)Guidelines focusing on quality in general and dealing with quality of statistical programmes, including measures for ensuring the efficient use of resources.|(% style="width:253px" %)QUALITY_ASSURE377 -| (% style="width:418px" %)**Quality management - quality documentation**|(% style="width:1401px" %)Documentation on procedures applied for quality management and quality assessment.|(% style="width:253px" %)QUALITY_DOC375 +)))|QUALITY_MGMNT 376 +|**Quality management - quality assessment**|Overall evaluation of data quality, based on standard quality criteria.|QUALITY_ASSMNT 377 +|**Quality management - quality assurance**|Guidelines focusing on quality in general and dealing with quality of statistical programmes, including measures for ensuring the efficient use of resources.|QUALITY_ASSURE 378 +|**Quality management - quality documentation**|Documentation on procedures applied for quality management and quality assessment.|QUALITY_DOC 378 378 379 379 380 380 381 -| (% style="width:419px" %)**Name**|(% style="width:1402px" %)**Definition**|(% style="width:252px" %)**Concept ID**382 -| (% style="width:419px" %)**Accuracy**|(% style="width:1402px" %)(((382 +|**Name**|**Definition**|**Concept ID** 383 +|**Accuracy**|((( 383 383 Closeness of computations or estimates to the unknown exact or true values that the statistics were intended to measure. 384 384 385 385 //Recommended usage. Use~:// ... ... @@ -386,36 +386,45 @@ 386 386 387 387 * //either the summary “Accuracy” concept but not the granular “Accuracy - overall”, “Non-sampling error” or “Sampling error” concepts,// 388 388 * //or the granular “Accuracy - overall”, “Non-sampling error” or “Sampling error” concepts but not the “Accuracy” concept.// 389 -)))| (% style="width:252px" %)ACCURACY390 -| (% style="width:419px" %)**Accuracy - overall**|(% style="width:1402px" %)Assessment of accuracy, linked to a certain Data Set or domain, which is summarising the various components into one single measure.|(% style="width:252px" %)ACCURACY_OVERALL391 -| (% style="width:419px" %)**Sampling error**|(% style="width:1402px" %)Part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.|(% style="width:252px" %)SAMPLING_ERR392 -| (% style="width:419px" %)**Non-sampling error**|(% style="width:1402px" %)Error in sample estimates which cannot be attributed to sampling fluctuations.|(% style="width:252px" %)NONSAMPLING_ERR393 -| (% style="width:419px" %)**Coverage error**|(% style="width:1402px" %)Error caused by a failure to cover adequately all components of the population being studied, which results in differences between the target population and the sampling frame.|(% style="width:252px" %)COVERAGE_ERR394 -| (% style="width:419px" %)**Measurement error**|(% style="width:1402px" %)Error in reading, calculating or recording a numerical value.|(% style="width:252px" %)MEASUREMENT_ERR395 -| (% style="width:419px" %)**Non-response error**|(% style="width:1402px" %)Error that occurs when the survey fails to get a response to one, or possibly all, of the questions.|(% style="width:252px" %)NONRESPONSE_ERR396 -| (% style="width:419px" %)**Processing error**|(% style="width:1402px" %)Error in final survey results arising from the faulty implementation of correctly planned implementation methods.|(% style="width:252px" %)PROCESSING_ERR390 +)))|ACCURACY 391 +|**Accuracy - overall**|Assessment of accuracy, linked to a certain Data Set or domain, which is summarising the various components into one single measure.|ACCURACY_OVERALL 392 +|**Sampling error**|Part of the difference between a population value and an estimate thereof, derived from a random sample, which is due to the fact that only a subset of the population is enumerated.|SAMPLING_ERR 393 +|**Non-sampling error**|Error in sample estimates which cannot be attributed to sampling fluctuations.|NONSAMPLING_ERR 394 +|**Coverage error**|Error caused by a failure to cover adequately all components of the population being studied, which results in differences between the target population and the sampling frame.|COVERAGE_ERR 395 +|**Measurement error**|Error in reading, calculating or recording a numerical value.|MEASUREMENT_ERR 396 +|**Non-response error**|Error that occurs when the survey fails to get a response to one, or possibly all, of the questions.|NONRESPONSE_ERR 397 +|**Processing error**|Error in final survey results arising from the faulty implementation of correctly planned implementation methods.|PROCESSING_ERR 397 397 398 -|(% style="width:418px" %)**Model assumption error**|(% style="width:1402px" %)Error that occurs due the use of methods, such as calibration, generalised regression estimator, calculation based on full scope or constant scope, benchmarking, seasonal adjustment and other models not included in other accuracy components, in order to calculate statistics or indexes.|(% style="width:252px" %)MODEL_ASSUMP_ERR 399 -|(% style="width:418px" %)**Coherence**|(% style="width:1402px" %)((( 399 + 400 + 401 +|**Name**|**Definition**|**Concept ID** 402 +|**Model assumption error**|Error that occurs due the use of methods, such as calibration, generalised regression estimator, calculation based on full scope or constant scope, benchmarking, seasonal adjustment and other models not included in other accuracy components, in order to calculate statistics or indexes.|MODEL_ASSUMP_ERR 403 +|**Coherence**|((( 400 400 Adequacy of statistics to be reliably combined in different ways and for various uses. 401 401 402 402 //Recommended usage. Use~:// 403 403 404 -* //either the summary “Coherence” concept but not the granular “Coherence xxx” concepts,// 408 +* //either the summary “Coherence” concept but not the granular// 409 + 410 +//“Coherence xxx” concepts,// 411 + 405 405 * //or the granular “Coherence xxx” concepts but not the “Coherence” concept.// 406 -)))| (% style="width:252px" %)COHERENCE407 -| (% style="width:418px" %)**Coherence - cross domain**|(% style="width:1402px" %)Extent to which statistics are reconcilable with those obtained through other Data Sources or statistical domains.|(% style="width:252px" %)COHER_X_DOM408 -| (% style="width:418px" %)**Coherence - internal**|(% style="width:1402px" %)Extent to which statistics are consistent within a given Data Set.|(% style="width:252px" %)COHER_INTERNAL409 -| (% style="width:418px" %)**Comparability**|(% style="width:1402px" %)(((413 +)))|COHERENCE 414 +|**Coherence - cross domain**|Extent to which statistics are reconcilable with those obtained through other Data Sources or statistical domains.|COHER_X_DOM 415 +|**Coherence - internal**|Extent to which statistics are consistent within a given Data Set.|COHER_INTERNAL 416 +|**Comparability**|((( 410 410 Extent to which differences between statistics can be attributed to differences between the true values of the statistical characteristics. 411 411 412 412 //Recommended usage. Use~:// 413 413 414 -* //either the summary “Comparability” concept but not the granular “Comparability xxx” concepts,// 421 +* //either the summary “Comparability” concept but not the granular// 422 + 423 +//“Comparability xxx” concepts,// 424 + 415 415 * //or the granular “Comparability xxx” concepts but not the “Comparability” concept.// 416 -)))| (% style="width:252px" %)COMPARABILITY417 -| (% style="width:418px" %)**Comparability - geographical**|(% style="width:1402px" %)Extent to which statistics are comparable between geographical areas.|(% style="width:252px" %)COMPAR_GEO418 -| (% style="width:418px" %)**Comparability - over time**|(% style="width:1402px" %)Extent to which statistics are comparable or reconcilable over time.|(% style="width:252px" %)COMPAR_TIME426 +)))|COMPARABILITY 427 +|**Comparability - geographical**|Extent to which statistics are comparable between geographical areas.|COMPAR_GEO 428 +|**Comparability - over time**|Extent to which statistics are comparable or reconcilable over time.|COMPAR_TIME 419 419 420 420 421 421