Data Management

Proper data management ensures sampling data remains reliable and accessible. Database Design Required Fields - Sample ID unique identifier - Sample type - Location coordinates - Collection date - Collector - Assay results with units - QA/QC flags Validation Rules - Unique sample IDs - Valid coordinate ranges - Logical date sequences - Depth from < depth to Quality Checks - Compare field tickets to database entries - Cross-reference with laboratory reports - Flag missing or inconsistent data - Regular backup procedures

All lessons in Sampling & QA/QC — Return to the complete Sampling & QA/QC course outline.
Previous lesson: Laboratory Selection — Choosing the right laboratory is critical for obtaining reliable assay results. Key Criteria Accreditation - ISO 17025 accreditation required - Check…
Next lesson: Interpreting QA/QC Results — Regular analysis of QA/QC data is essential for maintaining data quality. Control Charts Standard Control Charts Plot standard results over time with: …

Verification resources

Cross-check terminology, classification, methods, and safety with these authoritative external resources.

Mineral Exploration Best Practice Guidelines — Canadian Institute of Mining, Metallurgy and Petroleum. Professional guidance for representative sampling, chain of custody, laboratories, security, and QA/QC.
National Instrument 43-101 — British Columbia Securities Commission. Canadian mineral-project disclosure requirements and related technical-report framework.

Read GeoMiner's editorial methodology.

JavaScript is loading the interactive GeoMiner experience. The identification tools provide educational candidates, not laboratory confirmation.

Data Management

Continue Sampling & QA/QC

Verification resources