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 GCMD check for /DIF/Temporal_Coverage/Paleo_DateTime/Chronostratigraphic_Unit/Era #147
Is this a new check? Please describe the check and the field.
</DIF/Temporal_Coverage/Paleo_DateTime/Chronostratigraphic_Unit/Era>: Ensure that the provided term complies with the GCMD
Describe the checks in steps
Check to see if there is a term provided for /DIF/Temporal_Coverage/Paleo_DateTime/Chronostratigraphic_Unit/Era
If one is provided, ensure it exists in the GCMD list "CHRONO_UNITS" in the "Era" column.
If it does not exist in the list, provide the following error message: " does not adhere to the GCMD."
Is there a similar check already implemented? Please list the name of the check
Instrument Short Name GCMD Check
Is this a new check? Please describe the check and the field. </DIF/Temporal_Coverage/Paleo_DateTime/Chronostratigraphic_Unit/Era>: Ensure that the provided term complies with the GCMD
Describe the checks in steps
Is there a similar check already implemented? Please list the name of the check Instrument Short Name GCMD Check
Additional context N/A