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For this <L3 Gridded MBES Data Specification> the following Data Quality Elements will be assessed [1]:
Conformance to this Product Specification
Intended purpose of the data product
Completeness of the data product in terms of coverage
Logical Consistency
Positional Uncertainty and Accuracy
Thematic Accuracy
Temporal Quality
Resolution
Data Fliers
Data (Sounding) Density
Data Gaps (Holidays)
Aggregation measures
Validation checks or conformance checks including:
General tests for dataset integrity;
Specific tests for a specific data model.
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Quality references in the Abstract and/or Lineage, although the ISO19115 Data quality elements within (MD_DataQuality) can also be used to document precision and accuracy more fully.
Using QAX
Quality assurance on L3 data using the MBES Grid Checks and Finder Grid Checks plugins in QAX is mandatory.
QAX is an open-source project, jointly steered by AusSeabed, the United States of America National Oceanic and Atmospheric Administration’s Office of Coast Survey (NOAA OCS), and the University of New Hampshire’s Center for Coastal and Ocean Mapping (UNH CCOM). QAX version 1.0 is available on the AusSeabed GitHub (https://github.com/ausseabed/qax/releases ).
QAX facilitates quality assurance (QA) of MBES data. It provides an efficient workflow for L3 MBES bathymetry data when density and uncertainty/standard deviation attributes are also available. The tool standardises QA outputs and assists technicians to perform a robust QA of data.
QAX assessments must be performed within the data structure submitted to AusSeabed. The qajson file and screen capture of the QAX summary (Fig. 1) are required along with raw data on submission to AusSeabed.
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Figure 1. An example of screen capture of the result summary from QAX for L3.
For full details on Quality Assurance see the AusSeabed Quality Assurance Framework
Published Products will contain a Statement of Quality Report with a star rating.
The Statement of Quality helps ASB’s end users decide how to best use a published dataset. The SOQ describes the characteristics of quality according to a standardised list of dimensions. Each dimension contains a list of questions that are asked of the dataset to help end users understand rating given. The determination of quality is made post processing and is not reflective of source or collection.
The SOQ is constructed through a collaborative process that aims to answer targeted questions. The Data Manager for ASB data is charged with ensuring the process is collaborative and accurate. The questions used for reporting are based on the following six dimensions of quality:
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Accuracy
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Completeness
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Consistency
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Integrity
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Uniqueness
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