<div dir="ltr"><div class="gmail_default" style="font-family:arial,helvetica,sans-serif"><br></div><div class="gmail_quote"><div dir="ltr"><div style="font-family:arial,helvetica,sans-serif"><span class=""><img src="cid:ii_ijn1pan54_1525fdf11fad04aa" height="156" width="495"><br><div style="font-family:arial,helvetica,sans-serif"><div style="text-align:left"><br></div><br>
<p class="MsoNormal"><b><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black">Save the Date! </span></b><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black">The Data and Visualization Institute for
Librarians will be held <b>May 23 - 27, 2016</b> at the James B. Hunt Jr.
Library, North Carolina State University in Raleigh, North Carolina. </span><span style="font-size:10pt;font-family:"Times","serif""></span></p>
<p class="MsoNormal"><span style="font-size:10pt;font-family:"Times","serif""> </span></p>
<p class="MsoNormal"><b><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black">Applications for the
Institute will be accepted beginning on February 15, 2016.</span></b><span style="font-size:10pt;font-family:"Times","serif""></span></p>
<p class="MsoNormal"><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black"><a href="https://www.lib.ncsu.edu/datavizinstitute" target="_blank">https://www.lib.ncsu.edu/datavizinstitute</a></span><span style="font-size:10pt;font-family:"Times","serif""></span></p>
<p class="MsoNormal"><span style="font-size:10pt;font-family:"Times","serif""> </span></p>
<p class="MsoNormal"><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black">The Data and Visualization
Institute for Librarians is a week-long course providing the opportunity for
librarians passionate about research and scholarship to immerse themselves in
learning about data science and visualization in collaboration with academic
peers. Participants will develop knowledge, skills, and confidence to
communicate effectively with faculty and student researchers about their data
and be able to provide initial consultancy on the course topics. Led by expert
instructors, sessions will be interactive and will focus on mastery of core
concepts, with hands-on exposure to select open source and highly used
commercial tools. Sharing of practices and experiences across institutions will
be encouraged.</span><span style="font-size:10pt;font-family:"Times","serif""></span></p>
<p class="MsoNormal"><span style="font-size:10pt;font-family:"Times","serif""> </span></p>
<p class="MsoNormal"><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black">A final curriculum will be
available in early February, including topics such as:</span><span style="font-size:10pt;font-family:"Times","serif""></span></p>
<p class="MsoNormal"><span style="font-size:10pt;font-family:"Times","serif""> </span></p>
<ul style="margin-top:0in" type="disc"><li class="MsoNormal" style="color:black;vertical-align:baseline"><span style="font-size:11pt;font-family:"Arial","sans-serif"">Data Exploration and Statistical
Analysis</span></li><li class="MsoNormal" style="color:black;vertical-align:baseline"><span style="font-size:11pt;font-family:"Arial","sans-serif"">Bibliometric Analysis</span></li><li class="MsoNormal" style="color:black;vertical-align:baseline"><span style="font-size:11pt;font-family:"Arial","sans-serif"">Data Visualization</span></li><li class="MsoNormal" style="color:black;vertical-align:baseline"><span style="font-size:11pt;font-family:"Arial","sans-serif"">Data Description, Sharing, and
Reuse</span></li><li class="MsoNormal" style="color:black;vertical-align:baseline"><span style="font-size:11pt;font-family:"Arial","sans-serif"">Working with Messy Data</span></li><li class="MsoNormal" style="color:black;vertical-align:baseline"><span style="font-size:11pt;font-family:"Arial","sans-serif"">Gathering and Analyzing Textual
and Multimedia Data</span></li><li class="MsoNormal" style="color:black;vertical-align:baseline"><span style="font-size:11pt;font-family:"Arial","sans-serif"">Open Data and Open Science</span></li></ul>
<p class="MsoNormal"><span style="font-size:10pt;font-family:"Times","serif""> </span></p>
<p class="MsoNormal"><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black">Visit our website (</span><a href="https://www.lib.ncsu.edu/datavizinstitute" target="_blank"><span style="font-size:11pt;font-family:"Arial","sans-serif";color:rgb(17,85,204)">https://www.lib.ncsu.edu/datavizinstitute</span></a><span style="font-size:11pt;font-family:"Arial","sans-serif";color:black">) to stay up-to-date on program details and to apply
(beginning February 15, 2016).</span><span style="font-size:10pt;font-family:"Times","serif""></span></p>
<br></div></span><div style="font-family:arial,helvetica,sans-serif;text-align:left"><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr"><div><div dir="ltr">Hilary Davis<br>Head of Collection Management & Director of Research Data Services<br>NCSU Libraries<br>Box 7111<br>2 Broughton Drive<br>Raleigh, NC 27695<br>fax: 919-515-7854<br>phone: 919-513-0654<br><a href="mailto:hmdavis4@ncsu.edu" target="_blank">hmdavis4@ncsu.edu</a></div></div></div></div>
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