What is the process?
Quality Assurance (QA) is a review of client data. In the mining industry this review is not only confined to the quality control programme for assay data but also the capture and storage of this data.
Understanding statistics is key to assessing data quality.
A QA report can include a review of the clients database, auditing the database for capturing errors and database integrity. The sampling chain of custody, followed with a review of the quality control methods and analytical methods employed in the analytical processes.
Quality assurance reporting brings integrity to data.
The statistical review
Statistical analysis of quality control data, represented graphically in the report with an explanation of the statistical method and the resulting outcomes. All the statistical methods undertaken measure the precision of the analysed samples.
Including detection limit assessment of the method, does it “match” with the expected grade of the samples.
Are the quality control methods in a meaningful proportion? That is at what rate have they been inserted within the total sample batch. Assessment of the relevancy of the method that has been utilised for analysing the samples. Are these methods relevant to the samples being analysed?
All this culminates in conclusions and client recommendations. QA reports are completed with the JORC Code Table 1 reporting requirements in mind.
Measurable confidence in data is key to investors.
JORC Code Table 1, relevant criteria
Quality of assay data and laboratory tests
Reporting on laboratory processes
Sample security
Database integrity
How WAZO can assist
WAZO has the skills to help you design your QC programme including the selection of certified reference materials.
WAZO services include database design review, assessment of the database design structure and custom database designs.
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