Quality assurance

Data  quality  allows  users  and  user  systems  to  assess  fitness  for  use  of  the  provided  data.  Data quality measures and the associated evaluation are reported as metadata of a data product. This metadata improves interoperability with other data products and provides usage by user groups that the data product was not originally intended for. The secondary users can make assessments of the data product usefulness in their application based on the reported data quality measures.

For this<Survey Metadata Product 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 and metadata

• Logical Consistency

• Positional Uncertainty and Accuracy

• Thematic Accuracy

• Temporal Quality

• Aggregation measures

• Validation checks or conformance checks including:

  • General tests for dataset integrity;

  • Specific tests for a specific data model.

Attribution within the metadata record

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.

For full details on Quality Assurance see the AusSeabed Quality Assurance Framework

[1] As deemed necessary by the IHO –Hydrographic Standards and Services Committee