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Raw data, and the source code which you used to arrive at your conclusion, or it didn't happen.

In today's world of github gists and python PyPI's and R's CRAN, there's no excuse to not document the entire process, in addition to raw data.

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With some caveats. For example, I'm sure all the patients whose data I work with would rather not have it spilled out over GitHub.

Can you reasonably anonymize it?

For some things, yes. For others - not really. And there have been groups, historically, that have not been served well by "Everyone has access to this data". Given the need for their consent and cooperation, I generally side with what my subjects want their data to go toward, rather than some nebulous ideal.

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