Usually location data is instrumental in helping identify organisms. However, recently I’ve increasingly noticed a problem when the location is entered as a country, state, or province without more precise location information. The default in situations like this is iNat puts the pin wherever on the map that name for country, state, or province happens to be with an error bubble spanning the size of that country, state, or province. This may or may not actually be in the range of that thing. The same happens any time location is just a place name (city name forexample). Smaller than province, this probably doesn’t affect much, but still occurs. So I have several suggestions: one set for observers, one set for identifiers, one set for researchers.
Observers: try not to list location by name, but try to place the pin as close to the actual location as possible. This may seem obvious, but please recognize saying something is generally in that area with an error bubble larger than, say, several km, could very well affect the identification of that observation as well as the usefulness of that observation.
Identifiers: be aware that when the text below the map just lists a country, state, or province name AND the error bubble is the size of that country, state, or province then location might not be trustworthy enough to identify to a specific level. Meaning identifying solely ‘by range’ is probably the exact wrong thing to do. Solutions to this include marking observations as location inaccurate, though this seems heavy handed. Rather, I often settle for identifying to a less specific level, say, genus, and call it good. However, you could also engage with the observer to get a more accurate location.
Researchers: if the thing your researching has a very fine range distinction with different species occurring on either side of a supposed range boundary, then be very careful to exclude observations with an error bubble large enough to introduce a misidentification error. Personally, I would feel comfortable with error bubbles of, say, 20 km, or about the size of a city, but some species boundaries can approach that level of error. At very least, having an understanding of this issue should allow you to avoid including observations that are very likely mis-identified because of this issue.