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Completeness relates to the degree the data collected is as intended.
Applies to the presence of required attributes, metadata, and acquisition reports detailing survey scope, requirements, and any information relevant to the collection and supply of the dataset.
Is it the full dataset, are there missing elements or files
Checks
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xxx
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xxx….
Pass Requirements
Define what it is to pass Completeness consists of two elements: Commission (excess or duplication) and omission (missing files or data).
Checks
Missing files, as apart from the subsequent logical consistency check, are noted on a cursory check of supplied data.
Metadata including additional ancilliary data is supplied as per outline of data submission.
Pass Requirements
Data submission retains a logical consistency to expectations.
Examples
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Description Short explanation of dataset Test results What elements were there or not Pass/Fail Yes/No Reason Explanation How it passed/failed…… link to test results |
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