Database integrity
Identifiers, duplicates, intervals, units, coordinates and reference systems. A documented record of inconsistencies.
02 / CONFIDENCE IN THE INFORMATION
Before interpreting,
review the evidence.
We examine the integrity and consistency of drilling, sampling and laboratory data to identify limitations that may affect their interpretation.
Discuss a data review ↗REVIEW PROCESSQuality starts
Quality starts
with the data.
01SampleIdentity and provenance
02AnalysisMethod and units
03ControlBlanks, reference materials and duplicates
04InterpretationFitness for use and limitations
DATA REVIEW AND QA/QC
When this service helps
For projects with historical campaigns, fragmented databases or results requiring review before modelling, comparing areas or preparing a technical assessment.
HOW WE SUPPORT YOU
Analytical identity
Methods, detection limits and analytical fractions. Total and soluble copper are retained as separate measurements.
Quality controls
Review of available blanks, reference materials and duplicates according to their type, context and defined acceptance criteria.
STARTING POINT
What we need
- Original sample and results databases, preferably without grade filtering.
- Laboratory certificates and analytical methods.
- Identification of blanks, reference materials and duplicates.
- Available sampling, preparation and chain-of-custody protocols.
DELIVERABLES
What you receive
- Record of inconsistencies and observations.
- Assessment of data fitness for the intended use.
- Quality control charts where sufficient information exists.
- Recommendations for corrections, reanalysis or additional sampling.
Documentary and statistical review is not an on-site laboratory inspection or campaign certification. Missing controls are reported as a gap. Database correction and delivery of a cleaned version are expressly agreed, with the original always preserved.