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 jupyter+unsubscr...@googlegroups.com. To post to this group, send email to jupyter@googlegroups.com. 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.
