The NCIS is committed to providing high quality and fit-for-purpose data. The NCIS Quality Assurance Framework provides the foundation for a rigorous quality assurance program. The program encompasses a range of activities including data entry training and support, review of coding and reporting on data quality to maintain the highest possible standards of data quality and consistency.

The integrity of the data collection is dependent on the comprehensiveness of information collected during an investigation and the support of the courts to provide coded data and case documentation. The NCIS provides ongoing training and support to coders in all jurisdictions and the NCIS Data Dictionary and Coding Manual provide a national standard for coding that ensures the codeset reflects current international standards. Manual quality assurance reviews are carried out to maintain systematic quality analysis and monitoring. The NCIS quality program ensures data conforms to the defined, standardised codeset and provides an accurate reflection of each case.

The NCIS Quality Assurance Framework encompasses four data quality dimensions: availability, reliability, usability and relevance.  Each is a foundation for quality processes, activities, and tools. The key components of these are outlined within the framework.

Quality dimensions

Accessibility
NCIS data must be easy to search, cases must be easily identified and data and reports must be easily retrieved.

Reliability
Coding must comply with national and international standards where possible.

Relevance
Coding within the NCIS is a true reflection of the case details

Usability
Data is internally consistent and comparable over years and upgrades.

Quality Assurance Framework

The NCIS quality framework outlines our end-to-end approach to ensuring reliability, quality and consistency.