Setting Up Dummy Project


We are doing a Bioblitz in about a month. We had tested out uploading a month ago, and we ran into issues. Therefore, we would like to set up a dummy project so that observers can test out uploading their observations before the actual Bioblitz. It seemed like uploaded observations were seen by iNat members, and there were comments and identifications. But we don’t want iNat members wasting their time on a dummy project. How do we set up a dummy project, prevent iNat members from viewing the observations and then deleting the dummy project? Or is there a better way to accomplish pre-Bioblitz uploading of observations?



you can just set up another collection project for the test period… however there’s no way to keep observations you upload from showing up for everyone.

There has been a proposal to create ‘draft observation mode’ from the app where you could delete or edit them before they are made public, but it doesn’t exist as of now



Creating the project is fine, it won’t impact on anyone. It would be “tidy” to delete it, but wouldn’t be a problem if you didn’t…

The test observations themselves, however, will have an impact on iNatters. The best way to approach it is to make legitimate observations as your tests… Rather than photographing a foot or a poster, make sure the photo is a real organism, and aim to make the observation accurate for pin location and date/time seen etc. It can help to put “test” in the description… just so that anyone noticing any probs can point them out for you!

and thankyou for actually asking about this, so many just steamroller into massive projects without testing their processes before hand!



I have run into a similar issue doing talks about iNaturalist where I demonstrate submitting an observation. When I used an old photo, it would get identified and I’d feel guilty. Adding “this is a demo, no need to ID” didn’t help. Now I just stop and take a new photo on the way to the talk, so it’s a real observation. You can always find something!



I don’t know if this is a solution because I have no experience with such things but would opting out of community ID on those observations work? Or marking them (the ID) as good as it gets?

Someone else with actual experience can surely point out why this will or won’t work but it’s the thought I had. Perhaps useful.



I think opting out of community ID would make it worse because the ID would be ‘stuck’ even if wrong. You could flag a data quality flag such as time wrong or location wrong, but by the time you do that you are already on the website and can just delete it (can’t do that from the app).

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