Meaning of data quality characteristics
| Nature | Meaning |
|---|---|
| Normative | The extent to which data conforms to data standards, data models, business rules, metadata or authoritative reference data |
| Accuracy | The index data can truly reflect the real situation of the objective phenomenon, the error between it and the true value is small, and the data is unique and not repeated |
| Timeliness | The first publication of indicator data can reflect the described socio-economic phenomenon for the first time, with a very short time lag |
| Consistency | Indicator data from different sources are highly consistent in terms of indicator meaning, time, scope, caliber, comparability and other attributes |
| Integrity | The indicator data can fully reflect the various attributes of the indicator, and there are no missing records or missing attributes |
| Reliability | The sources and channels of indicator data are transparent and authoritative, and the statistical methods for data collection are standardized, feasible and scientific |
| Acquired | How easy it is for users of the indicator data to obtain their statistics and related auxiliary information |
| Cohesiveness | Users can correctly understand the meaning of the data, and the indicator data and its auxiliary information are highly correlated with the data source and other related data |
| Nature | Meaning |
|---|---|
| Normative | The extent to which data conforms to data standards, data models, business rules, metadata or authoritative reference data |
| Accuracy | The index data can truly reflect the real situation of the objective phenomenon, the error between it and the true value is small, and the data is unique and not repeated |
| Timeliness | The first publication of indicator data can reflect the described socio-economic phenomenon for the first time, with a very short time lag |
| Consistency | Indicator data from different sources are highly consistent in terms of indicator meaning, time, scope, caliber, comparability and other attributes |
| Integrity | The indicator data can fully reflect the various attributes of the indicator, and there are no missing records or missing attributes |
| Reliability | The sources and channels of indicator data are transparent and authoritative, and the statistical methods for data collection are standardized, feasible and scientific |
| Acquired | How easy it is for users of the indicator data to obtain their statistics and related auxiliary information |
| Cohesiveness | Users can correctly understand the meaning of the data, and the indicator data and its auxiliary information are highly correlated with the data source and other related data |