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I have learnt to differentiate between archive and active areas. I have recently begun exploring concepts of spaced repetition to this effect but its too early to comment on this. I tend to frequently write, bookmark, capture things and leave it at that. However, my system is stunningly poor at filtering and modelling information into memory. Here's the post that inspired me towards this system. I'm fairly settled on a homebrew style of noguci's system including pen, folded paper in my back pocket, a few paper notebooks as well as markdown, google docs, simplenote (via notational velocity) and google keep. I attest to the per use-case notion for organizing anything. I've used and refined these principles in setting up wikis at my last 3 companies and it's worked pretty well for organizing a collective knowledge base as well. Wikis do work for me, provided it's organized around Schelling points. As wenc puts it, "discover your own data use patterns." Then I need to be rigorous, reorganizing things when they don't work intuitively and adding new nodes when something I need has not yet been recorded. But as wenc notes, keep the graph shallow. They are the edges in my knowledge graph. Links/URLs will tie everything together. It shouldn't take me more than three clicks to get from my starting point to the information I'm looking for. For me, this is the home page of my wiki. To retrieve information, I should know where to start: a Schelling point. It's a little too heavy for me, but many people seem to find it useful. Wikis don't fit the PKM use case that well, so these too have fallen by the wayside for me.įor me, PKMs need to in some way feel like a single broadsheet where I can easily see and touch my information without having to drill-down hierarchies and follow too many links. I've tried wikis but due to their multipage nature, they segment knowledge too finely (often there are wiki pages hidden in deep in the link hierarchy that I forgot existed). I also occasionally use some specialized tools like Jabref (BibTeX) for specific types of data like references, but I hardly ever write papers anymore, so these have fallen by the wayside. It's simple, searchable, and multi-device. My PKM system is very simple: a single unorganized Google Docs for quick thoughts and ideas (just bullet points), separate Google Docs files for specific projects, etc. If you go with a super organization system on day 1, it will likely be too general and require too much effort (tagging, keywords, hierarchies, version controlled, branches, etc.) you will end up expending resources on metadata management on data that you may never ever need to retrieve and very soon you will abandon the effort. After a couple of projects, and you will naturally discover your own data use patterns.
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writing a blog or paper), and work backwards to figure out how to organize your data to meet the requirements of that project. Start with a specific use-case/project (e.g. Instead, organize your information per "use-case".
You will end up overengineering your org method. There is no single all-purpose organization method.ĭon't start with figuring out a method to organize your information. If your data is variegated in format and form, don't look for a single tool/method solution to organize them. Each task is repeated 2 to 3 times, so you can see it more than once if you need to without having to manually start it over again.This is what I learned from designing data architectures: The short videos showing the steps to do a particular task have no narration, but short written instructions when needed. This course has short tutorials on how to do a particular task listed in alphabetical order, so that you can find what you need quickly.
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The link to the download will be included in the Bonus Section at the end of the class. It still has a few things missing and certain things aren't working exactly the way they will be, but most everything you are learning in this course is available in the Beta version. GET A HEAD START ON SCRIVENER 3 FOR WINDOWS: If you have Scrivener for Windows, you may want to download the Scrivener 3 for Windows Beta version. NOTE: The Windows-specific videos will be added once Scrivener 3 for Windows is released.
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Occasionally, because of Mac and PC platform differences, a task has to be done slightly different in each, in that case both the Mac and PC version will be recorded separately. Most of the videos were recorded in Scrivener 3 for Mac, but most everything is in the same place and the same icons are used in both. These videos apply to both the Scrivener 3 Mac and Windows versions unless otherwise indicated.
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Scrivener 3 for Mac came out in November of 2017 and Scrivener 3 for Windows is in Beta and should be coming out in the near future.
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