1395.0 - Essential Statistical Assets for Australia, 2014  
ARCHIVED ISSUE Released at 11:30 AM (CANBERRA TIME) 12/12/2014   
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Quality Indicators for ESA
Quality was assessed against the seven dimensions of the ABS Data Quality Framework. Under each dimension, a number of quality indicators were assessed for the purpose of ESA. The quality indicators were mainly selected from the NSS Data Quality Online Tool, but as this tool is designed to describe rather than assess quality, indicators were supplemented in consultation with the ABS Methodology Division. An example of the types of ESA quality indicators included under each of the quality dimensions is included in Table 2.



Table 2: Example of Quality Indicators for the Purpose of ESA

DimensionExamples of Indicators
Institutional EnvironmentQuality and risk management processes
Staff training
Protections for confidentiality
RelevanceKey information for statistic
Critical spatial levels/disaggregations available
Standard wording and classifications uses
TimelinessRelease of data meets critical frequency of the statistic
Users access data when expected
Delay between reference period and release is timely
AccuracyScope and under/over counts or under/over representation
Consistency of administrative data
Adjustment for non-response/missing values
Representation of sampling error for survey data
CoherenceInformation comparable over time
Source data coherent
External sources available for confrontation
InterpretabilityInformation about the data
Quality information available
Additional support for users
Conceptual limitations described
AccessibilityPublicly available
Data visualisation
Manipulable formats
Mostly free


The quality indicators were assessed against a set of standards set for the purpose of ESA. These standards for datasets are outlined in Quality Standards for ESA Reference Guide document available in the Downloads tab of this publication.