I participated in an interesting webinar about the general literature review process, including an introduction to "knowledge management". It showed a suggested process, including some AI tools. I tried to create a bit of a mapped description of it for you:
The webinar was suggested through litmaps, and with some other courses, it is available through this site:
https://effortlessacademic.com/
The webinar was about literature review; here are some details: https://effortlesslitreviewv2.carrd.co
The showed literature discovery engine included the following components:
• SciSpace Search to find relevant publications from just a plain text question
• Litmaps to find every relevant publication and spot gaps in your and others' research.
• scite.ai to find contrasting evidence for your papers and dig deep into an area of scientific discourse.
• Obsidian to leverage a smart note-taking strategy for synthesizing and remembering what you read
• Paperpal to polish your manuscripts with AI
As mentioned during the webinar, this process can be extended or altered with other services/apps. For example, I prefer Notion to Obsidian, and some tend to use OneNote for the same process. The webinar also mentions the use of referencing services e.g. Zotero or Mendeley, which can help you to create a collection of articles about a topic.
You can see the general overview of the webinar in an image:
The steps were presented as follows:
Note-taking app (You can use your preference e.g. Notion, OneNote, Evernote, Google Keep, etc., but Obsidian is a free, open-source variant):
The webinar mentioned separate courses about this, and they have a blog post for an introduction to Obsidian: https://ilyashabanov.substack.com/p/note-taking-system-for-success-in