QUALITY METRICS
The metadata collected in the quality assessment tools about the individual datasets can be aggregated to provide useful, additional quality metrics. The metrics are not only based on the information the datasets were assessed on, but also contextual information provided by data custodians to supplement the assessment information.
While there were 239 datasets on the revised ESA list, 199 datasets were included in the statistic assessment results which underpin the essential statistics. The remaining 40 datasets were either gaps, mostly at the state and territory level, or were not available for assessment. These datasets were a range of different types of collections, but there were more administrative datasets than sample survey or census datasets, as seen in Table 4. Other types of collections were largely account type collections, such as National Accounts, which included both survey and administrative data.
Table 4: Number and Proportion of Datasets by Type of Collection
|
Type of Collection | Number | Proportion |
|
Administrative | 88 | 44% |
Sample survey | 73 | 37% |
Census | 7 | 4% |
Other | 31 | 16% |
|
Total | 199 | 100%* |
|
*Percentages may not add to 100% due to rounding