The pyQuARC tool reads and evaluates metadata records with a focus on the consistency and robustness of the metadata. pyQuARC flags opportunities to improve or add to contextual metadata information in order to help the user connect to relevant data products. pyQuARC also ensures that information common to both the data product and the file-level metadata are consistent and compatible. pyQuARC frees up human evaluators to make more sophisticated assessments such as whether an abstract accurately describes the data and provides the correct contextual information. The base pyQuARC package assesses descriptive metadata used to catalog Earth observation data products and files. As open source software, pyQuARC can be adapted and customized by data providers to allow for quality checks that evolve with their needs, including checking metadata not covered in base package.
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DIF10: Add Platform Short Long Name Consistency Check #89
Is this a new check? Please describe the check and the field.
</DIF/Platform/Long_Name>: Provide an error if a long name does not match the associated platform short name
Describe the checks in steps
Verify that the provided platform long name adheres to GCMD hierarchy and is correctly associated with the provided platform short name
If this checks fail, provide an error that states: "The provided Platform Short Name and Long Name aren't consistent. Please supply the corresponding long name for the short name."
Is there a similar check already implemented? Please list the name of the check
campaign_short_long_name_consistency_check
Is this a new check? Please describe the check and the field. </DIF/Platform/Long_Name>: Provide an error if a long name does not match the associated platform short name
Describe the checks in steps
Is there a similar check already implemented? Please list the name of the check campaign_short_long_name_consistency_check