Stephanie,
Tracy Teal and I work closely together as the EDs of Data and Software
Carpentry respectively, you can contact either or both of us and we can
coordinate conversations with each other where appropriate.
We are rather opinionated at Software Carpentry about what should be involved
in a workshop for you to call it SWC. It must have modules on the Shell, Git
and either of Python, R or Matlab. We do this because we feel strongly that the
background in Shell and GIt combined with a high-level programming language
give researchers a sense of the components of building and collaborating on
reproducible and automated workflows composed of tools written in a many
programming languages. The approach I have usually encouraged is to run a
general Data Carpentry or Software Carpentry workshop and support it with short
mini-workshops (often half-day) that go off into things like ggplot2, cleaning
data, literate programming skils etc. It is more work, but I think in the long
run you're building a framework for more effective later learning when you do
it this way.
Our two day workshops aren't meant to be an exhaustive set of skills, we can't
fit everything into two days. They're meant to be an inspiring taste of the
superpowers that computational tools and best-practices can enable in
data-driven research.
There is always an opportunity to give more or less focus to particular topics
in our lessons, and we'd be happy to talk through with you how you might do
that.
Regards,
---
Jonah Duckles
Software Carpentry, Executive Director
http://software-carpentry.org
From: Stephanie Labou <[email protected]>
Reply: Stephanie Labou <[email protected]>
Date: May 24, 2016 at 2:31:23 PM
To: [email protected] <[email protected]>
Subject: [Discuss] Reproducible R workshop - melded Software/Data Carpentry
Hi all,
The economics department at my university is interested in holding a data
bootcamp for some of their students and I’ve been trying to steer them towards
Software/Data Carpentry. (I am a newly certified instructor and would love to
get a workshop under my belt, especially at my home institution.)
From my discussions with faculty, they don’t want or need to spend time going
over Excel or SQL (Data Carpentry) and standards of programming (Software
Carpentry) isn’t the goal either. What they want: “…what is really needed is
the workflow from data processing to analysis in R. The content doesn’t need
to be particularly economics focused as long as the data types are relevant.
For example, we want to improve our students ability to work with a range of
data types including time stamped data, and strings, in addition to standard
numeric. Teach them how to write code to clean and process data (merge,
reshape, etc.) that clearly documents what was done and meets standards of
reproducibility. A component on visualization, perhaps a ggplot2 focus, would
also be interesting.”
What they’re describing is basically R for reproducible scientific analysis.
Which is great! But I’m not sure where to go from here – this alone doesn’t
make a Software Carpentry workshop (although it could easily take two days) and
although the topics overlap with Data Carpentry, it doesn’t make a Data
Carpentry workshop either.
Has anyone used the R for reproducible scientific analysis/intermediate R as a
two-day workshop? If so, what did you call it? Can it still somehow fall under
the Software/Data Carpentry banner? (Also, is there a main contact person
between the Carpentrys that I can steer the faculty point person towards? I
would hate to lead them astray, promising a Carpentry workshop when I can’t
technically call it that…)
Any and all feedback/suggestions welcome!
Thanks,
Stephanie
----
Stephanie Labou
Research Assistant / Data Manager
Center for Environmental Research, Education, and Outreach
Washington State University
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