@ma_salmon @ecojydrology We have an updated version of that essay in @thePeerJ https://t.co/Qd8g91OhjR by @cboettig, @lincolnmullen and me: "Packaging data analytical work reproducibly using R (and friends)": https://t.co/kel620L6wn
@thehauer @suzie_birch @electricarchaeo @figshare @github @OpenContext Yes, including the Rmd is common, as in the figure below. I try to do it every time. We review several popular approaches to bundling #rstats code and data in https://t.co/Qd8g91OhjR https://t.co/G3Lt1GeyVk
@noamross @mauro_lepore @JennyBryan @hadleywickham @rOpenSci The recent follow-up to the rrrpkg essay is https://t.co/Qd8g91OhjR with @cboettig & @lincolnmullen. But as @noamross notes, there's now a rich diversity of approaches to organizing research projects using #rstats for reproducibility, each suiting different types of research.
@tjowens @Ted_Underwood On the specific details, here are articles about data sharing and reproducible research. While both are aimed at data scientists, I don't think there would be any meaningful difference for humanities data.