Social Science Data Carpentry
Would anyone be interested in contributing to the development of social science focused introductory workshop? I'm teaching a Data Carpentry workshop for the Federal Reserve Board of Governors using the Gapminder data set. With the work already done, these lessons feel like they could be brought up to publication level with a little bit of polishing. Please feel free to contact me directly or leave comments here.
* I should note that the initial release of lessons would probably not incorporate the text mining lesson. In addition to being a very specific application, it would also require a major rewrite of the current lessons.
I helped teach one last year at the Fed for their fellows w/ the GM novice lesson from: https://github.com/resbaz/r-novice-gapminder. Depending on your audience, you may need to break it up into two parts which I ended up covering it over two afternoons and dropping a few of the more technical pieces, then adding a capstone shiny project to help them rehash the R stuff. You'll find there's a lot of interest in data cleaning.
Some of the capstone shiny stuff is below (obv messy):
Thanks for the links. Our workshop went pretty well IMO. (And +1 on the interest in data cleaning!) So far I've imported the file for the SQL, Spreadsheet, and OpenRefine lessons and applied the data carpentry layout. Next I need to import and reformat some of the R pages before I start work on editing the lessons to better resemble the Ecology lesson set (multi-page, links to additional resources, etc.). You can check out the work done so far here:
April FRB Workshop Wiki - Lessons