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Metadata Checks
Matthew Cornell edited this page Jul 5, 2022
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The metadata checks are implemented to conform to the specifications specified in this file. In addition to them, the following checks are run:
- Metadata file must have proper yaml format.
-
team_name
gives the name of the team and is not validated. -
model_name
gives the name of the model and is not validated. -
model_abbr
must be distinct from any already existingmodel_abbr
. -
model_contributors
must include at least one email address and written in the format specified here. -
team_model_designation
should be one ofprimary
,secondary
,proposed
, orother
. There should be only oneprimary
model for everyteam_abbr
, where (in Python)team_abbr = model_abbr.split('-')[0]
, e.g., 'COVIDhub-baseline' -> 'COVIDhub'. -
license
should be one of the licenses specified in thelicense
column of this CSV. -
website_url
field must be specified. This should be a valid URL. -
methods
is under 200 characters. - The name of the directory under which all the forecasts and metadata files are added must be the
model_abbr
specified in the metadata file.
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