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Generally, every agency has their own internal practices and standards but we require a common understanding to ensure data is being accurately represented within the central platform. Water datasets can further be classified broadly or specific to a particular use (e.g., water used for irrigation).
We adopted a SensorThings (ST) data model to develop a common “language” around the different types of water data. ST is a service focused on data streaming that supports integration of metadata within the data structure. For the purposes of organizing standards development activities, we group water datasets into two types, one focused on water quantity (e.g., groundwater levels, water use, ...) and another on water quality (e.g., chemical, biological, …).
The basic elements of SensorThings are:
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