Browse Items (24 total)

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.

The author discusses the importance of delineating rights and responsibilities concerning data and how to determine data ownership.

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.

The author argues that creating software and/or data necessitates a commitment to maintaining that software and/or data, and therefore should be considered a "first class" contribution.

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.

Due to a flood in Sri Lanka, researchers lost the raw data necessary to support their case in an image manipulation investigation.

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.

The author describes how, when he was a PhD student, the lab he worked in prevented data fraud by entrusting research data to an undergraduate student who had no stake in the outcome and no information about the experiment.

The author argues that withholding data violates professional standards in research, and therefore could be considered scientific misconduct.