Are there any journal articles in psychology that have promoted and discussed reproducible data analysis? I consider reproducible analysis to be really important.
In particular, I'd like to see more researchers in psychology:


sharing their data
producing their journal articles using literate programming technologies like Sweave and knitr that combine data analysis code and text into an integrated documenst.


I consider this particularly important in light of  concerns over research fraud (e.g., data fabrication) and  various forms of data fishing (e.g., testing many hypotheses and only reporting the significant one).

Certainly in statistical fields, there is a lot of discussion about the importance of reproducible analyses (e.g., see here, and here). However, I sometimes feel that in psychology this is only starting to filter through.

Thus, my question is:


Are there any journal articles in psychology that have advocated reproducible analysis?


There are many angles that such articles might take: reward structures that discourage open science and reproducible analysis; technical challenges which make it difficult to do such analyses; how-to articles that outline how to perform reproducible analyses in psychology. I'd be interested in any articles that address these topics.
It's not a journal article, but it's a project, called Reproducibility Project.
They are re-doing psychological studies to estimate the reproducibility of a sample of studies. They try to stay as close as possible on the original study (they e-mail the author(s) for the exact stimuli etc.).
Here's the main site and here's the link to their spreadsheet.

This is a short article promoting the sharing of data in psychology. Another related study (by the same author) is also mentioned.