Having good data management is vital throughout the process of conceptualising hydrogeology and producing analytical and numerical models. With effective data management, scientists can devote more time to making meaningful data interpretations. At SRK, we strive to employ standardised approaches to streamline and automate the data management process with tools that can be adapted to any project.
Water datasets are typically large and involve ongoing monitoring information alongside periodic aquifer testing. Traditionally, water datasets have been largely composed of field measurements, which might vary between projects or scientists. Manually intensive tools are increasingly inadequate for creating repeatable and timely workflows to analyse these large, heterogeneous datasets.
At SRK, we approach data management from a “good in = good out” perspective. We believe it is essential to start with a solid foundation. We perform QA/QC on received data in its various forms to fit our standardised data storage structure. From this format, data is easily applied to our growing library of streamlined visualisation, analytical and modelling tools so that more time can be spent on conceptualisation and interpretation of the data. The standardised data format also allows for easy transformation into standard third-party software, enabling us to return data to our clients in a clean and improved format while maintaining high-quality data management practices. Finally, automated data handling cuts down on errors during all stages of the workflow, leading to reproducible results with a high degree of confidence and less rework.
Large datasets are becoming a more significant part of hydrogeology. The amount and frequency of data collection is increasing not only through automation and telemetry, but through the availability and applicability of multidisciplinary datasets. Increased regulator scrutiny and the potential for mining to significantly impact groundwater, surface water and associated users of this water are driving the importance of accurate water resource characterisation. It is therefore essential to set up data management systems that are scalable and allow one to make informed decisions to ensure that regulatory conditions are met. SRK’s dynamic and scalable approach allows us to cater to our clients’ data management needs, large or small, ensuring that clients get the best approach to handle water data for their operation and that they have the right tools to make the right decisions.
Contact the author in the SRK Australia office.
