Fascinating! Thanks for doing this! I think it was a very worth-while
investigation.

Jason


On Mon, Mar 6, 2017 at 4:36 AM 'Daniel Mietchen' via Project Jupyter <
[email protected]> wrote:

> Here is a write-up of our attempts to re-run these notebooks:
> https://markwoodbridge.com/2017/03/05/jupyter-reproducible-science.html .
>
>
> On Sunday, March 5, 2017 at 1:35:42 AM UTC+1, Daniel Mietchen wrote:
>
> Dear list,
>
> as part of an Open Data Day event this weekend, a small group of
> participants with varying Jupyter expertise looked into Jupyter
> notebooks in the context of research reproducibility.
>
> The basic idea was to go through scholarly articles available as part
> of the article corpus in PubMed Central, to re-run any Jupyter
> notebooks that could be found in there, and to document the
> observations, as described in
> https://github.com/sparcopen/open-research-doathon/issues/25 .
>
> We have looked at about 10 of these notebooks, none of which ran
> through at the first attempt. So we documented the first problem that
> occurred and moved on to the next notebook, except for the example
> notebook mentioned in the first post in that thread, which we tried to
> get to run by addressing any of the error messages.
>
> If you have suggestions on how best to document such a systematic
> re-run of a collection of Jupyter notebooks, or if you are aware of
> past attempts in this direction, we would appreciate pointers.
>
> You are also most welcome to join in directly - we'll continue
> tomorrow (i.e. Sunday 5).
>
> Thanks and cheers,
>
> Daniel
>
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