I’ve been looking to see if there’s a simple data annotation or data quality assessment checkbox to address the problem of observations where each photo shows a different individual of a species. However, to date, I can’t seem to find the answer.
As I understand, every piece of observational data (e.g. photos) should contain evidence of the same individual organism, per the definition on the help page:
An observation records an encounter with an individual organism at a particular time and location.
I’m not talking about observations where each piece of evidence points toward a different species of organism – it seems that iNat still doesn’t have a simple way to mark that, even though there is a feature request for an “easy way to mark multiple-species observations”. Though perhaps this is a similar problem.
So what should one do when you have multiple photos and they’re all the same species (though perhaps in different life stages), but which are clearly separate individual organisms? Is there a good way to mark those observations to prompt a (future) fix besides leaving a comment?
To clarify for anyone reading this:
I’m talking about the case where you have an “observation” with multiple photos (or audio recordings). Imagine that I have 3 photos attached to a single iNat observation of Homo sapiens.
- Photo 1 shows my friend Bob (an adult human male),
- Photo 2 shows my friend Alice (an adult human female), and
- Photo 3 shows Calvin their son (a baby human male).
Now imagine the same situation with plants for fruit flies.
Having those 3 distinct photos of 3 distinct individuals means that one cannot annotate the observation with something like sex or age. It also goes against the definition of an “observation” on iNaturalist. So how does one mark it appropriately, i.e. so that it can be remedied or excluded?
I will add: Yes, I have searched extensively for an answer, and I cannot find one, so telling me to search for the answer does not help. Above I have linked the one other post which contains relevant information, that I have been able to find. If no specific method exists, please state that.