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The mineral exploration industry is poised to extract more value from its datasets, from historical data to large modern digital datasets, but can be limited by its capacity to properly design and implement a data management strategy. As the industry transitions from traditional hardcopy to digital, there is an excellent opportunity for companies to implement proper data management practices and gain a significant competitive advantage. A preliminary outline of the short course can be found below.
This full-day course will identify and provide solutions for the challenges that are unique to the exploration industry, through a review of:
- Data management theory and best practices;
- Principles behind designing a modern exploration data model;
- Methods to collect diverse datasets in the field, from grassroots exploration to early-stage resource calculations, that integrate into a comprehensive modern data model;
- Practical applications for an integrated data management system, including data compilations, surficial programs, drill programs and field portable analyzers
This is the first of a two-part series on information management in exploration. A second course will include hands-on practical exercises to build on the framework and lessons from this first course.
Who Should Attend:
There is no standard way of managing exploration data, but learned strategies can improve efficiency and add value at all stages of exploration and development. This course is designed for field students (undergraduate and graduate), geologists, data managers (GIS) and others from industry and academia at all experience levels that are interested in making the most of their exploration data. No laptop computers are required. We recommend that you have an understanding and good working knowledge of Excel for this course.
Note: This course qualifies for a credit of 7 Formal Professional Development Hours (PDH) under The Association of Professional Engineers and Geoscientists of the Province of BC (Engineers and Geoscientists BC).