Thanks Jon, that's useful advice — I've set some of my library colleagues to thinking of some datasets they might be interested in looking at. If we do manage to get something going, I'll try to keep this list updated with how we get on.<br><br>All the best,<br>Jez<br><div class="gmail_quote">On Thu, 26 Mar 2015 at 17:11, Jonathan Petters <<a href="mailto:jpetter1@jhu.edu">jpetter1@jhu.edu</a>> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Hi Jez,<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">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.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">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).<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Hoping some of the more experienced DCers chime in. If you get this going it’ll be interesting to hear your challenges and successes!<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Regards,<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Jon<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Jonathan Petters, Ph.D.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Data Management Consultant<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">JHU Data Management Services<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">The Sheridan Libraries<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><a href="http://dmp.data.jhu.edu/" target="_blank">http://dmp.data.jhu.edu/</a><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">(410) 516-5957<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">From:</span></b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif""> <a href="mailto:dc-discuss-bounces@lists.idyll.org" target="_blank">dc-discuss-bounces@lists.idyll.org</a> [mailto:<a href="mailto:dc-discuss-bounces@lists.idyll.org" target="_blank">dc-discuss-bounces@lists.idyll.org</a>]
<b>On Behalf Of </b>Jeremy Cope<br>
<b>Sent:</b> Wednesday, March 25, 2015 12:20 PM<br>
<b>To:</b> <a href="mailto:dc-discuss@lists.idyll.org" target="_blank">dc-discuss@lists.idyll.org</a><br>
<b>Subject:</b> [data-carpentry-discuss] Data carpentry for librarians<u></u><u></u></span></p></div></div><div lang="EN-US" link="blue" vlink="purple"><div>
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<p class="MsoNormal">Hi there,<u></u><u></u></p>
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<p class="MsoNormal">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?<u></u><u></u></p>
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<p class="MsoNormal">I've seen there have been a few SC for Librarians bootcamps (see e.g.
<a href="http://software-carpentry.org/blog/2014/08/bootcamps-for-librarians.html" target="_blank">
http://software-carpentry.org/blog/2014/08/bootcamps-for-librarians.html</a>), 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:<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">1. Give them data analysis tools above and beyond Excel to use in their day jobs;<u></u><u></u></p>
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<p class="MsoNormal">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.<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">Any suggestions or pointers?<u></u><u></u></p>
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<p class="MsoNormal">Thanks,<u></u><u></u></p>
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<p class="MsoNormal">Jez<u></u><u></u></p>
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