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The basic curation process is outlined below:
Data Grid Instances to be Curated
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Quality
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Checks Process
Each dataset that is a candidate for data grid has to be evaluated to be evaluated to determine if it fully meets the requirements to be included, partially meets the requirements, or does not meet them at all. The outcome determines what actions have to be taken in the YAML file to inlcude or exclude the file, and any comments to be recorded for users to understand where the dataset falls short. Below the process diagram, you will find more details on each quality check.
Details on each quality check
How much of the required information specified in the definition does the resource contain?
Is the resource in an acceptable format?
Is the resource geographically complete or “as complete as possible”?
Are location references explicit in the resource or joinable to an available location reference that also appears in the data grid?
For example, does a listing of health facilities explicitly claim to try to be complete or as complete as possible (then yes), or does it have declared gaps noted in the metadata or is it’s completeness ambiguous (then no).
For an indicator broken down by admin units, are all admin units represented (then yes), or if not, is the meaning of their absence explicitly explained in the metadata (then no