I'm trying to follow some of the best practices of the "open science" movement. In my thesis, I've performed all of the analyses in R (a non-proprietary, open-source program for analyzing data), and my datasets are in the non-proprietary CSV format.
I would like to be as transparent as possible, by sharing my datasets and R analysis/code files with my thesis committee, and ultimately with the public once my thesis is finalized and placed in a repository. How can I best do this?
I was thinking about uploading my files to the Open Science Framework (http://osf.io) and citing them with a regular HTTPS link. Once my thesis is finalized, I would then "freeze" them on the OSF website (as I understand, this would prevent post-hoc changes), then get a DOI that points to the frozen files and cite that.
Are there any better options?
First, best compliments for your intent on open and reproducible research!
Your code and datasets ought to bring you better visibility for your research. GitHub is a good alternative to publish your code. If your datasets involve elements of machine learning you may donate it to the UCI Machine Learning Repository.
