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.
Is this a new check? Please describe the check and the field.
<Collection/Platforms/Platform/Characteristics/Characteristic/Name>: if multiple characteristics are provided for one platform, check to ensure that the provided name is unique.
Describe the checks in steps
Check to make sure the characteristic names are unique.
If not, recommend providing a unique name for each characteristic.
Is there a similar check already implemented? Please list the name of the check
Hi Slesa! When two or more identical platform characteristic names are provided, pyQuARC isn't flagging it as an error. It doesn't seem like the check is present.
Is this a new check? Please describe the check and the field. <Collection/Platforms/Platform/Characteristics/Characteristic/Name>: if multiple characteristics are provided for one platform, check to ensure that the provided name is unique.
Describe the checks in steps
Is there a similar check already implemented? Please list the name of the check
Additional context