A survey to understand how researchers use metadata for creating literary corpora

First time I hear about OpenAtlas, which appears to be a competitor to [Nodegoat](https://nodegoat.net) and I guess [ResearchSpace](https://researchspace.org).

There are many interesting comments in this driver file.

Basically an awesome list of things you shouldn't do on GitHub.

Tools to automatically suggest [PubPeer](https://pubpeer.com) comments on scholarly publucations. Most problematic papers are found through "tortured phrases", like *man-made knowledge* instead of *artificial intelligence*. It's fascinating that people believe(?) this could work - and that these papers are actually published in the first place.

Use this [bookmarklet](https://en.wikipedia.org/wiki/Bookmarklet) URL to post to code4lib.net with one click: `javascript:void function(){var u=document.URL,t=document.title;window.open('https://code4lib.net/create_post?title='+t+'&url='+u,'_blank').focus()}()`

I'm quite new to #Fediverse and only found this discussion to fix integration of Mastodon and Lemmy. Is there an introduction for dummies how to use both together in a meaningful way?