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As requested for part of the Repronim instructor training, here are some notes/feedback on this module:
Page 1: elaborate & clarify. What are the knowledge outcomes versus skill outcomes? Will they be more aware of the problem and solutions, or will they gain applicable skills in this module?
Page 2:
Higher res version of photo (possibly just a recreation if high-res not available?)
Add figure caption
Mention more terms covered in this review, and a couple others of which the links are currently evading me, on repro-literature and clarify where we sit.
Page 3:
Improve formatting
Add case studies, such as Button (power failure), Ioannidis (false findings), Lewis (one voxel), Glatard (operating systems), Bowring (tools), and something on sample bias/data inclusion
Page 4: mention multiple initiatives which have already begun striving for this with links, such as eLife, Aperture, CONP/NeuroLibre
The text was updated successfully, but these errors were encountered:
As requested for part of the Repronim instructor training, here are some notes/feedback on this module:
The text was updated successfully, but these errors were encountered: