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The emails of certain PIs contains multiple subdomains (i.e pi@a.b.edu). Currently, we check for a PI's institute by only matching their full email domain (a.b.edu) to the list of known domains in institute_map.json. For an institution with many subdomains, some of which may match to other institutes, but also many that matches to itself, we would need to add many fully qualified domain names (that share the same second-level, or third-level domain, etc) that would only match to that institution.
Instead of only performing one match against the full domain name, we would like to match through each domain level, from the most qualified to the least.
For example, given the pi email pi@a.b.edu, we should first match against a.b.edu, then b.edu.
The text was updated successfully, but these errors were encountered:
The emails of certain PIs contains multiple subdomains (i.e
pi@a.b.edu
). Currently, we check for a PI's institute by only matching their full email domain (a.b.edu
) to the list of known domains ininstitute_map.json
. For an institution with many subdomains, some of which may match to other institutes, but also many that matches to itself, we would need to add many fully qualified domain names (that share the same second-level, or third-level domain, etc) that would only match to that institution.Instead of only performing one match against the full domain name, we would like to match through each domain level, from the most qualified to the least.
For example, given the pi email
pi@a.b.edu
, we should first match againsta.b.edu
, thenb.edu
.The text was updated successfully, but these errors were encountered: