Fesiability of data collection

[Foyerr]

After reviewing our Benchmarking write up and looking into Anki's privacy policy, I noticed that while user data shared with AnkiWeb is not used for research, scheduling data (excluding card content) is available for statistical purposes. However, since Anki has a builtin syncserver feature, it seems theoretically possible to host our own sync server and allow users to opt in to contribute their data.

Personally, I wouldn’t have an issue sharing this data, and implementing a hard opt-in approach feels far more transparent than an opt-out model.

My idea is to modify the FSRS Helper add-on by introducing a toggle and a written confirmation step (similar to how GitHub requires users to type a phrase before deleting a repository) to enable syncing with an FSRS sync server for large-scale data collection.

Would love to hear your thoughts on this approach!

"""
Consider the content of the cards: text, sound, and images. It would require adding another machine learning algorithm (or even several algorithms) just for text/audio/image recognition, and we wouldn’t be able to train it since Dae (the main Anki dev) can’t give us a dataset that has all of the content of cards. That is against Anki’s privacy policy, only scheduling data is available publicly.
"""

[Expertium]

I'm not the developer of FSRS (that's Jarrett), you should open an issue here: https://github.com/open-spaced-repetition/fsrs4anki-helper

[Foyerr]

Thought you might say that, just wanted your input since the idea came from your blog post. I'll move it over there :) Thanks