[data-carpentry-discuss] Data carpentry for librarians

[Jonathan Petters]

Hi Jez,

I think it’s great idea to use the DC framework to teach something about data analysis and common applications to Librarian RDM folks!  I have a computational research background, and believe it’s very helpful to draw upon that experience in talking to researchers about their workflows and data processing.

No particular great suggestions from my end though: I think getting a grip on the background of your librarian audience, being that some will have analysis experience and others will not, is most important.  It’s also my understanding that the DC courses assume some domain-specific material, so perhaps you’ll need to come up with a simple sample dataset that’s appropriate for the interested librarians (across domains).

Hoping some of the more experienced DCers chime in.  If you get this going it’ll be interesting to hear your challenges and successes!

Regards,

Jon

Jonathan Petters, Ph.D.
Data Management Consultant
JHU Data Management Services
The Sheridan Libraries
http://dmp.data.jhu.edu/
(410) 516-5957



From: dc-discuss-bounces at lists.idyll.org [mailto:dc-discuss-bounces at lists.idyll.org] On Behalf Of Jeremy Cope
Sent: Wednesday, March 25, 2015 12:20 PM
To: dc-discuss at lists.idyll.org
Subject: [data-carpentry-discuss] Data carpentry for librarians

Hi there,

I currently work in the library at Imperial College London (United Kingdom), supporting research data management (RDM). I'm interested in running a Data Carpentry workshop for my library colleagues, and wondered if anyone has any thoughts or advice on this?

I've seen there have been a few SC for Librarians bootcamps (see e.g. http://software-carpentry.org/blog/2014/08/bootcamps-for-librarians.html), but couldn't find anything about DC so far. DC seems most appropriate for this group as they are non-programmers rather than beginner programmers — my aims would be:

1. Give them data analysis tools above and beyond Excel to use in their day jobs;
2. Give them experience of what some of our researchers will be doing to help them understand where our own RDM guidance fits in with that.

Any suggestions or pointers?

Thanks,
Jez
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