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Data and Code

 

REED: How “Open Science” Can Discourage Good Science, And What Journals Can Do About It

In a recent tweet (or series of tweets) Kaitlyn Werner shares her experience of having a paper rejected after she posted all her data and code and submitted her paper to a journal. The journal rejected the paper because a reviewer looked over the data and had “a hunch” that there was a mistake.

BOB REED: On Andrew Gelman, Retractions, and the Supply and Demand for Data Transparency

In a recent interview on Retraction Watch, Andrew Gelman reveals that what keeps him up at night isn’t scientific fraud, it’s “the sheer number of unreliable studies — uncorrected, unretracted — that have littered the literature.” He then goes on to argue that retractions cannot be the answer. His argument is simple.

RICHARD ANDERSON: Replication and the Zen of Home Repair

This summer is the first since my retirement from government that I find myself without academic obligations here or abroad. Instead, I am focused on starting to rehab a tattered house that I recently purchased jointly with one of my children. Surprising parallels exist between repairing a house and pursuing scientific research, at least for persons with an active imagination.

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