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.
</DIF/Temporal_Coverage/Range_DateTime/Ending_Date_Time>: Check that the provided collection ending_date_time is the same as the provided granule ending_date_time in the newest available granule
Describe the checks in steps
Check if an Ending_Date_Time has been provided
If one has been provided, check the Ending_Date_Time in the collection against the latest available granule's date/time stamp. If they do not match, provide one of the following messages:
If the granule Ending_Date_Time has the same date, but a different time than the collection Ending_Date_Time, provide the following Info message: "The ending time for the first granule in the collection is . Recommend updating the ending date time to match the granule extent."
If the granule Ending_Date_Time has a different date but is within 24 hours of the collection's Ending_Date_Time, provide the following Warning message: "The ending time for the first granule in the collection is . Recommend updating the ending date time to match the granule extent."
If the granule Ending_Date_Time is a different date and not within 24 hours of the collection's Ending_Date_Time, provide the following Error message: "The ending time for the first granule in the collection is . Recommend updating the ending date time to match the granule extent."
Is there a similar check already implemented? Please list the name of the check
N/A
Is this a new check? Please describe the check and the field. </DIF/Temporal_Coverage/Range_DateTime/Ending_Date_Time>: Check that the provided collection ending_date_time is the same as the provided granule ending_date_time in the newest available granule
Describe the checks in steps
Is there a similar check already implemented? Please list the name of the check N/A
Additional context N/A