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 -|**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**|((( 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_COMP 339 +|(% style="width:415px" %)**Adjustment**|(% style="width:1400px" %)((( 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 -)))|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**|((( 346 +)))|(% style="width:257px" %)ADJUSTMENT 347 +|(% 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_ADJUST 348 +|(% 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_ADJUST 349 +|(% 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_VALIDATION 350 +|(% style="width:415px" %)**Data revision**|(% style="width:1400px" %)((( 351 351 Change in a value of a statistic released to the public. 352 352 353 353 //Recommended usage. Use~:// ... ... @@ -354,18 +354,17 @@ 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 -)))|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 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 364 364 365 365 === QUALITY === 366 366 367 -|**Name**|**Definition**|**Concept ID** 368 -|**Quality management**|((( 366 +|(% style="width:418px" %)**Name**|(% style="width:1401px" %)**Definition**|(% style="width:253px" %)**Concept ID** 367 +|(% style="width:418px" %)**Quality management**|(% style="width:1401px" %)((( 369 369 Systems and frameworks in place within an organisation to manage the quality of statistical products and processes. 370 370 371 371 //Recommended usage. Use~:// ... ... @@ -372,15 +372,15 @@ 372 372 373 373 * //either the summary “Quality management” concept but not the granular “Quality management xxx” concepts,// 374 374 * //or the granular “Quality management xxx” concepts but not the “Quality management” concept.// 375 -)))|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 374 +)))|(% style="width:253px" %)QUALITY_MGMNT 375 +|(% style="width:418px" %)**Quality management - quality assessment**|(% style="width:1401px" %)Overall evaluation of data quality, based on standard quality criteria.|(% style="width:253px" %)QUALITY_ASSMNT 376 +|(% 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_ASSURE 377 +|(% style="width:418px" %)**Quality management - quality documentation**|(% style="width:1401px" %)Documentation on procedures applied for quality management and quality assessment.|(% style="width:253px" %)QUALITY_DOC 379 379 380 380 381 381 382 -|**Name**|**Definition**|**Concept ID** 383 -|**Accuracy**|((( 381 +|(% style="width:419px" %)**Name**|(% style="width:1402px" %)**Definition**|(% style="width:252px" %)**Concept ID** 382 +|(% style="width:419px" %)**Accuracy**|(% style="width:1402px" %)((( 384 384 Closeness of computations or estimates to the unknown exact or true values that the statistics were intended to measure. 385 385 386 386 //Recommended usage. Use~:// ... ... @@ -387,45 +387,36 @@ 387 387 388 388 * //either the summary “Accuracy” concept but not the granular “Accuracy - overall”, “Non-sampling error” or “Sampling error” concepts,// 389 389 * //or the granular “Accuracy - overall”, “Non-sampling error” or “Sampling error” concepts but not the “Accuracy” concept.// 390 -)))|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 389 +)))|(% style="width:252px" %)ACCURACY 390 +|(% 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_OVERALL 391 +|(% 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_ERR 392 +|(% style="width:419px" %)**Non-sampling error**|(% style="width:1402px" %)Error in sample estimates which cannot be attributed to sampling fluctuations.|(% style="width:252px" %)NONSAMPLING_ERR 393 +|(% 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_ERR 394 +|(% style="width:419px" %)**Measurement error**|(% style="width:1402px" %)Error in reading, calculating or recording a numerical value.|(% style="width:252px" %)MEASUREMENT_ERR 395 +|(% 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_ERR 396 +|(% 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_ERR 398 398 399 - 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**|((( 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" %)((( 404 404 Adequacy of statistics to be reliably combined in different ways and for various uses. 405 405 406 406 //Recommended usage. Use~:// 407 407 408 -* //either the summary “Coherence” concept but not the granular// 409 - 410 -//“Coherence xxx” concepts,// 411 - 404 +* //either the summary “Coherence” concept but not the granular “Coherence xxx” concepts,// 412 412 * //or the granular “Coherence xxx” concepts but not the “Coherence” concept.// 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**|((( 406 +)))|(% style="width:252px" %)COHERENCE 407 +|(% 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_DOM 408 +|(% style="width:418px" %)**Coherence - internal**|(% style="width:1402px" %)Extent to which statistics are consistent within a given Data Set.|(% style="width:252px" %)COHER_INTERNAL 409 +|(% style="width:418px" %)**Comparability**|(% style="width:1402px" %)((( 417 417 Extent to which differences between statistics can be attributed to differences between the true values of the statistical characteristics. 418 418 419 419 //Recommended usage. Use~:// 420 420 421 -* //either the summary “Comparability” concept but not the granular// 422 - 423 -//“Comparability xxx” concepts,// 424 - 414 +* //either the summary “Comparability” concept but not the granular “Comparability xxx” concepts,// 425 425 * //or the granular “Comparability xxx” concepts but not the “Comparability” concept.// 426 -)))|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 416 +)))|(% style="width:252px" %)COMPARABILITY 417 +|(% style="width:418px" %)**Comparability - geographical**|(% style="width:1402px" %)Extent to which statistics are comparable between geographical areas.|(% style="width:252px" %)COMPAR_GEO 418 +|(% style="width:418px" %)**Comparability - over time**|(% style="width:1402px" %)Extent to which statistics are comparable or reconcilable over time.|(% style="width:252px" %)COMPAR_TIME 429 429 430 430 431 431