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The O2A-INGEST performs automatic quality control to deliver quality-flagged data in the O2A-DASHBOARD. The automatic quality control requires the observation properties in the O2A-SENSOR for each corresponding sensor and each quality control test. The input data is in NRT format, where each column of observations is under a unique sensor-URN. At ingest, the quality control algorithm builds a table of devices and parameters to assess the input data for correctness and validity of observations. The current flagging scheme is of primary level (UNESCO 2013), i.e., quality flags are sequential and qualitative to describe a level of quality in the data. The starting point for the currently implemented quality control tests is the ARGO real-time quality control (Wong et al. 2019).

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