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Data Quality

//Data Quality
Data Quality 2018-03-09T06:55:57+00:00

Quality Statement

The NCIS is committed to providing high quality data that is fit-for-purpose in line with the NCIS Quality Principles.

Quality Principles

Relevance and Coverage

Deaths reported to a coroner can vary between jurisdictions depending on the definition of a reportable death. For researchers investigating a certain area of interest, it is mandatory to identify if all relevant cases qualify as reportable deaths in all jurisdictions prior to drawing conclusions about prevalence. Information about reportable deaths is available here.

Timeliness

The NCIS captures data in real-time as entered by each Coroners’ Court in the nine jurisdictions. The majority of approved NCIS users have access to data once a case is ‘closed’ on the database and the coronial investigation has been completed. Data will only be included in reporting where at least 80% of cases are closed on the database. Case closure statistics are available here.

Accuracy

The NCIS Unit manually checks all external death cases and some types of natural death cases for accurate coding to assure data fields are fit to represent the phenomenon they are designed to measure. The NCIS strives to have confirmed the accuracy of each case on the database within 6 months of the case being completed by a coroner.

Coherence

The NCIS regularly conducts internal evaluations to determine whether there have been notable changes to the collection of data items that may artificially influence trends and patterns.

Interpretability

All data on the NCIS has been coded as defined by the rules and definitions in the NCIS data dictionary and NCIS Coding manual to assure comparability and interpretability. These manuals further detail limitations associated with the coding of any data on the NCIS and are periodically updated.

NCIS data quality principles have been developed with reference to the Australian Bureau of Statistics data quality framework.