Definition
Changes made to a dataset over time are recorded and repeatable. High temporal quality consists of a detailed, consistent version history that is discoverable in the metadata of subsequent versions of a dataset.
Checks
Temporal accuracy
Temporal consistency
Temporal validity
Pass Requirements
Temporal accuracy: Ensure time stamps are included in the metadata (UTC time) so users can identify when the dataset version was created. This can help identify the latest version of a dataset.
Temporal consistency: Ensure a standardised file naming convention and metadata structure is followed so the dataset version is easily understood.
Temporal validity: Ensure a detailed work flow is included in the metadata so users can identify the order of changes made to the data and are able to replicate the process.
Examples
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Description 4887 Apollo Marine Park 20200421 and 4887 Apollo Marine Park 2020-2021 (clearing house). Test results
Pass No (we acknowledge this is a fault due to the data submission requirements evolving during the time of submission). Explanation This datasets fails checks 1, 2 and 3 as listed above. |
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Description Survey X Test results
Pass Yes Explanation This dataset passes all checks listed above. |