Today the WG1 discussed the implementation in Heel of the decisions made by Themis group. (see posts above)
For example, for a given new Themis convention (e.g., weight is measured in nonsensical units (e.g., g/dL)) - what kind of Heel error severity should be the result.
There are three Heel error levels: error, warning and notification (ordered by importance). (and a category tracking high quality data).
We discussed definitions for the three severity levels (no final definitions were approved). The proposal discussed was to put most of the new Heel rules into the warning category. (But allow users on the forum or Heel github issues to propose a revision of an implemented Themis-authored convention checking).
error - severe error in data
warning - issue with data that complicates analysis but is not a severe error
notification - "good to know about" least significant issues with data
high-quality - silent type of message. So that Heel does not only point to problems but also rewards ETL-ers. "APGAR score for your database"