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I have now downloaded obsidian. I am bit overwhelmed by how to start. It seems that Z plus obsidian can work well, but it also seems that if I were to make notes of an article... then I would need one card for the reference, and a card for each point/argument made. Hence creating 5-6 notes.... How does one stop this from becoming thousands and thousands of points.... does one make general cards for the main themes?

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Hello!

The reality is that hundreds of notes can emerge from one text. From a 400-page Asimov's novel I have 150 annotations. That's really common, but don't get overwhelmed. Most of those ideas will eventually condense into big ideas in the form of permanent notes. Of those 150 literary notes I've taken, once I've done the work of reflection, maybe 20 or 25 will remain.

Inevitably your system will grow, but that's not a problem because the more you know about a subject, the more you'll write them down, many ideas you'll see are already repeated or ‘contained’ in notes you previously took. That's the best part, it usually indicates that you already know a lot about the subject.

If you have any questions or need to know more about Obsidian or Zettelkasten you can talk to me by private message and I'll help you in any way I can :)

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I came across this via documentation for one of the apps you listed (Zettler, I believe) ... are you familiar with Cosma?

https://cosma.arthurperret.fr/

(I think this is the post that was in the Zettler docs; explanatory intro to Cosma from Arthur Perret: https://www.arthurperret.fr/blog/2022-01-30-cosma-from-record-to-graph.html)

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Hello Lis, I didn't know Cosma, it looks like an interesting option!

Thank you very much for sharing it, I was completely unaware of it. It looks like Zettlr, Logseq and Obsidian.

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This is a nice summary. Another cool thing about logseq is its ability to import Zotero, which could be really helpful for research.

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How, that's really nice. That's makes Logseq even more similar to Zettlr.

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Thanks for this list, excellent summary!

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Many thanks to you for reading me!

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