The author argues against the suggestion that .RData files become the standard format for sharing research data, in part because he believes data should be shared in a way that is accessible to the wider community.
A good practice guide for data collection and storage, including information about merging, cleaning, documenting, and sharing data, as well as resources for further reading.
A cognitive scientist provides an overview of how and why to share data, including where to post it, how to maintain it, recommended formats, and sharing scripts.
A member of the board of directors of the Center for Scientific Integrity warns that data sharing may have unintended consequences in addition to the high costs involved.
The author describes how coding errors can be avoided by cross-checking the code with the same data before publication and publishing the original data.