The American Meteorological Society currently has a draft statement open to comments by members until Oct. 3, on Full and Open Access to Data. As a member I submitted the following comment:
"I applaud the principles outlined in this document, and AMS's willingness to take a definite stand on the issues discussed. I am particularly in favor of strong encouragement for academic journals and funding agencies to *require* that data sources be clearly identified and publicly available, unless a justification can be given. What the policy fails to address, perhaps because it is out of scope, is a more complete endorsement of the principles of reproducible research, which would also require making computer code publicly available, and also specification of software options and settings used, and finally full specification of any data reduction or manipulation procedures carried out between the raw and the analyzed data sets (e.g., filtering, interpolation to convert non-equally spaced time series into equally spaced time seris, etc.) Thank you for this opportunity to comment."
The Diffusion Tensor Literary Review (DTLR) similarly endorses the draft statement on Full and Open Access to Data.
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