Restores the structure of the metadata dataframe, which might be necessary if, during a change to datatrack e.g. a new version of the package extra columns are added, removed or reordered
An empty correct meta dataframe is created, then each of the existing columns are attempted to be matched to a correct column. If no match for an existing column is found, it is discarded with a warning. If a correct column has not had a match found for it, it is left blank.
In specific cases of upgrades, transformations might need to be made to the existing columns. If this happens this function should be added to appropriately. For example, if csv column is removed an a 'class' column is addeed instead, then specific tranformation from existing csv = 1 rows to class = 'csv' needs to be coded.
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