ABS Data Quality Framework
The ABS Data Quality Framework is designed for use by a range of data users and providers in different settings, including government agencies, statistical agencies and independent research agencies. For example, the Data Quality Framework is being used to assess the quality of performance indicator data linked to a number of National Agreements in key policy areas signed by the Council of Australian Governments (COAG).
Among national statistical agencies, quality is generally accepted as "fitness for purpose". Fitness for purpose implies an assessment of an output, with specific reference to its intended objectives or aims. Quality is a multidimensional concept which does not just include the accuracy of statistics, but also stretches to include other aspects such as relevance and interpretability.
The Data Quality Framework is based on the Statistics Canada Quality Assurance Framework (2002) and the European Statistics Code of Practice (2005). The Data Quality Framework is comprised of seven (7) dimensions of quality, reflecting a broad and inclusive approach to quality definition and assessment.
The Data Quality Framework has been designed to be used in evaluating statistical collection and products (e.g. survey data, statistical tables) including administrative data.
The ABS recommends that when assessing the quality of a statistical collection or product, a Data Quality Statement be developed. A Data Quality Statement is a presentation of information about the quality of a statistical collection or product using the Data Quality Framework. These may also be referred to as Data Quality Declarations. The Data Quality Statement Tool can be used to develop a Quality Statement.
For more information see ABS Data Quality Framework, ABS Cat no 1520.0