- Name of the project for which this piece of information has been useful.
- Programming language used in the paper
- General information about the field of the article (web development, marketing, agile, . . .)
- Precise name of the module/library/tip (pickle, coding style, opencv, . . .)
- read tag, double check of the green circle (in case I want to access this piece of information using scripts).
Efficiently handle knowledge as a Computer Scientist
I love to learn. Each day. A bit more of what the world has to offer. I read a lot of technical stuff. I spend a lot of time reading about all kind of subjects, most of it being computer science / computer vision related. I also have a really bad memory. If I rarely forget a face, I must say I have already forgotten 80% of the programming languages and libraries I haven't been working with for more than 10 days. I spent years with hundreds of bookmarks in my browser, classified into folders that would also contain other folders. . . But if this could be a problem, my experience in research centers helped me find a nice workaround to highly increase my efficiency. Having no memory is no great deal, as soon as you are able to quickly process and find information. And a weak my long-term memory, as strong my need for organization. As a researcher, part of your job consists in being an expert in your field and "keep both eyes open". Some of your time should be spent reading publications related (or not) to your curent projects. And most researchers I know have their own way to handle this big piece of "paper knowledge" they process. While being in TNO, I found one piece of tool that I never stopped using : Mendeley Desktop. Basically speaking, Mendeley is a publication management tool. It would help you keep track of your publications by extracting meda-data from the pdfs, and sort them out for you. For each document, you can access its authors, abstract, . . . And you can also set these meta-data and add keywords or tags. While keywords are often already filled by the authors of the pdfs, tags have become my very secret weapon. There are 3 major things I want to show you here that can help you efficiently handle tons of information. First of all, the center part of the screen is dedicated to the list of pdfs you have in your library. And what I love is the small green circle you can find on the left part of the list. It shows whether you have already read the paper or not. This is very useful if you have to store a lot of papers in the same place (like me). Then, the right part of the screen. It shows all the meta-data available for each pdf. Once I have finished to read a paper, I switch the green circle to grey to show that this information has been processed and I add some tags. Here are the tags hierarchy I would always fill in :