Using electronic data capture when collecting geoscientific data is crucial to getting high-quality information to decision-makers.
Electronic data capture eliminates double entry and reduces the chance of incorrectly associated or misreported data.
Geoscientists need to make decisions based on accurate information to ensure they get the most value out of the resource, but if the quality of initial inputs is inconsistent, it compromises the entire mining value chain.
Your team’s observations and measurements are worth nothing if you can’t be assured of their quality and integrity.
Drilling activities rely on complex processes that require a chain of different functions to report and pass data through to others. Inconsistencies and errors in the related data collection processes have a significant impact on the profitability of the resource. Time spent correcting errors downstream is costly and you have decreased confidence in the data.
Errors can easily sneak into the data. For example, incorrectly associating standards or duplicates to samples can have a significant effect on your QAQC program.
Even when samples are correctly labelled, mistakes can be made when transcribing the data. Written notes, whose quality can vary, are often copied into a spreadsheet, which is then copied into a data management system. At entry points from field to paper and from paper to digital you have the possibility of introducing errors.
The result of these errors means the picture subsequent functions in the process see is built on false foundations.
To get full value out of electronic data capture, it needs to sync with the rest of your geoscientific information. acQuire’s GIM Suite is a configurable system supporting any geoscientific data collection task you may take on at your site.
Once in your project’s information management system, each area can see the completeness of data and the stage of the process. Rich data views using dashboards allow everyone in the organisation to access the same information, eliminating silos and making access to your geoscientific data more democratic.
Every member of your team needs to be working from the same data and that data quality and integrity needs to be preserved for the longevity of a project. Sharing the same data means a single source of all your geoscientific information is available to your team so they can produce optimal decisions.