@carrieseltzer that would be very useful, and if that were a feature, I probably wouldn’t use it any other way. Also, I doubt anyone who curates the observations in their area of interest would use anything else either.
This is a bit beyond the initial request, but there are probably many circumstances where there are projects with datasets so large that the observations can’t be curated by one or even a few people. Under these circumstances you could use fields showing the community ID, list the users supporting a community ID, the maverick ID (there’s rarely more than one, or maybe the most recent maverick ID if it becomes an issue?), and list the users supporting the maverick ID. From that data, you could use conditional formatting highlight cells based on fields that contain the usernames of known experts. You could probably even sort with formulas and delete data that wasn’t curated. You could even do some quality control if there are known bad actors in the dataset. Again, a bit beyond the point, but could be a useful way of managing the data.