A considerable amount of effort and money is spent on collecting representative samples for exploration, estimation, grade control, and metallurgical accounting. This short course will explore the type, volume, and level of meta data collected during both field sampling and laboratory analysis projects. It will demonstrate the importance and value of recording and capturing this data. It will also illustrate the link between data collection, storage, validation, and the generation of information crucial to all levels of decision making. This highly practical course will illustrate the tools and methods available to achieve best practice protocols for data management.
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