Thanks Hao! -Robert
On Sat, Jan 26, 2019, 12:09 AM Hao Ye <[email protected] wrote: > Hi, > > The requirements for a Data Carpentry workshop are listed at > https://datacarpentry.org/workshops/ > > Data Carpentry workshops must include: >> >> - A Data Carpentry lesson on data organization >> - Three other modules in the same domain from the Data Carpentry >> curriculum >> - Be taught by at least one certified Carpentries instructor >> >> and for Software Carpentry at https://software-carpentry.org/lessons/ > > A Software Carpentry workshop is taught by two trained and badged >> instructors. Over two days, they teach our three core topics: the Unix >> shell, version control with Git, and a programming language (Python or R). > > > The "R for Reproducible Scientific Analysis" lesson in Software Carpentry > is pretty flexible, and you can arrange the modules to cover much the same > content as an R-focused Data Carpentry workshop (though it will use the > gapminder dataset instead of one with an ecology-, genomics-, social > science- , etc. focus. That is one option. > > I think another option would be to run a normal 2-day Data Carpentry > workshop, and have an optional supplemental half-day on using Git and > GitHub. > > Best, > -- > Hao Ye > [email protected] > > > On Fri, Jan 25, 2019 at 10:05 PM Robert M. Flight <[email protected]> > wrote: > >> Hi Everyone, >> >> I couldn't find this specific answer searching my email, and it looks to >> have moved on the website as well. >> >> What topics are required to keep the branding of Software / Data >> Carpentry?? >> >> I am part of a self organized Data Carpentry R ecology workshop, and we >> are debating what topics to teach. The curriculum is data organization, >> openrefine, R, and SQL. >> >> I haven't taught one before, and I haven't dug into the lessons yet, and >> how they are integrated one with another, but we were thinking it would be >> good to introduce Git version control, especially in the context of R >> scripts for data analysis. >> >> So how much can we deviate from the curriculum and still be a Data >> Carpentry workshop, and has anyone else attempted this before?? >> >> If I was going to do it, my preference would be to remove the OpenRefine >> lesson and insert a lesson on Git integrated into the R lessons. >> >> Thoughts?? >> >> Thanks in advance, >> >> - Robert >> > *The Carpentries <https://carpentries.topicbox.com/latest>* / discuss / > see discussions <https://carpentries.topicbox.com/groups/discuss> + > participants <https://carpentries.topicbox.com/groups/discuss/members> + > delivery > options <https://carpentries.topicbox.com/groups/discuss/subscription> > Permalink > <https://carpentries.topicbox.com/groups/discuss/T72f2c57ee7b0ead4-M41585b9fa1251e943cb906b4> > ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/T72f2c57ee7b0ead4-M64bdc3859c68ac1f9f001593 Delivery options: https://carpentries.topicbox.com/groups/discuss/subscription
