For my pre-writing I took a concept map style approach. I started with my initial ideas, which turned into my thesis, at the top and put my ideas and arguments below it. I drew arrows for how I wanted to connect my arguments and wrote the sources I thought I might use for each argument. The second page is ideas of my sources: how and what I thought I could use from each one after I went back and re-read or re-watched each on. For me, this pre-writing style was extremely helpful. I had all my ideas down in an organized way so when I went to write my first draft it more or less just flowed right onto the paper. I was also able to add or take away ideas as I thought through my ideas. This style made it very easy for me to direct my ideas toward my thesis and direct my ideas in an easy way. I will definitely be using this style of pre-writing again because it made righting my paper so easy.
My pre-writing process was extremely useful for the big data paper. I was able to brain-storm and string together main points that I wanted to make using my concept map. I was also able to identify key quotes and ideas I wanted to use from my sources which made integrating them into my paper very easy. My pre-writing made my revision process very easy as well. Being able to have a map of what I wanted to talk about allowed me to go back and revise my paper so to make sure I hit those topics. It made global revision easy too because I was able to see how I want to string my arguments together so when I was revising I could make sure I did that. Globally, I did a lot of work on the big data paper. I restructured all of my main arguments and added and took away arguments as well. In doing this I expanded on the topics I did keep to make those points stronger. I thought my revision process was thorough and helped my paper to be more concise, flow better, and be a stronger work overall.
