Table 3

Data quality assessment framework – summary results

Dimensions/elementsDatasets
The Russian invasion of Ukraine datasetClimate change dataset
1. Integrity
1.1 ProfessionalismOO
1.2 TransparencyOO
1.3 Ethical standardsLOLO
2. Methodological soundness
2.1 Concepts and DefinitionsOO
2.2 Scope, Classification and RecordingOO
3. Reliability
3.1 Source dataOO
3.2 Statistical TechniquesNONO
3.3 Assessment and validation of intermediate data and statistical outputsOO
3.4 Revision studiesNONO
4. Serviceability
4.1 Periodicity and TimelinessOO
4.1 ConsistencyNONO
4.2 Revision policyOO
5. Accessibility
5.1 Data accessibilityOO
5.2 Metadata accessibilityLOLO
5.3 User supportOO

Note(s): Key to symbols: O = Practice Observed; LO = Practice Largely Observed; LNO =Practice Largely Not Observed; NO = Practice Not Observed; NA = Not Applicable. Practice observed: Current practices generally meet or achieve the objectives of DQAF internationally accepted statistical practices without any significant deficiencies. Practice largely observed: Some departures, but these are not seen as sufficient to raise doubts about the authorities’ ability to observe the DQAF practices. Practice largely not observed: Significant departures, and the authorities will need to take significant action to achieve observance. Practice not observed: Most DQAF practices are not met. Not applicable: Used only exceptionally when statistical practices do not apply to the country’s circumstances

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