If you enjoy OpenStreetMap or StreetComplete, you should also have a look at OpenFoodFacts: https://world.openfoodfacts.org/ -- it's the same thing, but for cataloguing food.
You can scan the food that you have laying around the house (via the website or app), or help fix information about existing products by answering questions based on other people's photo uploads: https://hunger.openfoodfacts.org/
These are all new to me.
What's the idea behind open data like this?
It's unclear to me why anyone would need a directory of food products.
@srfirehorseart A big part of open data is precisely that it doesn't need to be built for any one specific usecase - the data is provided in a generic, unopinionated format and then it's up to people what to do with it. Including in ways you might not have foreseen.
For OpenStreetMap, common usage includes (of course) mapping/navigation applications (there's a good chance you've used something that uses OSM data!), but also directories of opening times, disability aids (where is the nearest bench, wheelchair access), and so on.
For OpenFoodFacts, the data is often used to quickly look up the nutritional values of products (beyond what is already on the packaging), to compare nutrition levels in different options, as an extra safeguard against allergens, and so on.
But undoubtedly there are many usecases I'm unaware of for both of them - that's the nice thing about open datasets :)
@srfirehorseart They definitely track where the food is available, and you can filter by this - but the UI is certainly something that needs to be improved. I think the expectation for casual users is to mainly use it by scanning individual products (and in the Netherlands, I'd say I've had about a 70% success rate with that, despite it being a very obscure site here).
Ultimately it *is* going to be primarily crowdsourced, and that means there's a certain amount of fuzziness to the data that's unavoidable. But within that, they track revisions, ask people to make pictures of the packaging as a data source, they extract expiry dates to associate data with production dates, and so on.