<div><div dir="auto">The databrarian book itself has very good coverage of the topic! </div></div><div><br><div class="gmail_quote"><div dir="ltr">On Mon, Feb 4, 2019 at 2:57 PM Rachel Woodbrook <<a href="mailto:woodbr@umich.edu">woodbr@umich.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div dir="ltr"><div>(Apologies for cross-posting)</div><div><br></div><div>Hello all,</div><div><br></div><div>I'm working with a colleague to put together a course for iSchool students on data services in libraries, and was hoping to tap into the collective breadth of knowledge. We are reviewing several possible textbooks and looking at other readings but if there are any blog posts, articles, or other treatments from the past few years that you've read and think are especially timely or informative for folks considering this direction in their career, we'd welcome suggestions.</div><div><br></div><div>If this is of interest to others I'm happy to compile and link the list; or if there are obvious existing resources we're missing, feel free to point us toward those as well (i.e., I know the <a href="https://databrarianship.wordpress.com/suggested-reading-brief-bibliography/" target="_blank">Databrarianship</a> book site has a list of suggested readings up through 2015).</div><div><br></div><div>Thank you!</div>-- <br><div dir="ltr" class="m_-1171817461342368811gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div><br></div><div>Rachel Woodbrook</div><div>Data Curation Librarian</div><div>Research Data Services</div><div>University of Michigan Libraries</div><div>3175 Shapiro Library</div><div><a href="mailto:woodbr@umich.edu" target="_blank">woodbr@umich.edu</a> | (734) 764-2203</div><div>Pronouns: she, her</div></div></div></div></div></div></div></div></div></div>
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</blockquote></div></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature">Sent from Gmail Mobile: please excuse and/or laugh at the probable typos. </div>