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 > -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/4f79ad8a-8ada-49e1-9753-aa7dd68526ef%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
