<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Hi all,<div class=""><br class=""></div><div class="">In case you missed it, International Data Week has two calls for participation out:</div><div class=""><br class=""></div><div class="">1) The call for sessions for the Research Data Alliance Plenary portion of the week. Due 29 May:</div><div class=""> <a href="https://rd-alliance.org/plenaries/rda-eighth-plenary-meeting-denver-co/8th-plenary-call-sessions" class="">https://rd-alliance.org/plenaries/rda-eighth-plenary-meeting-denver-co/8th-plenary-call-sessions</a></div><div class=""><br class=""></div><div class="">2) The call for papers at the SciDataCon part of the week. Due 16 May!:</div><div class=""><a href="http://www.scidatacon.org/2016/submit/" class="">http://www.scidatacon.org/2016/submit/</a></div><div class=""><br class=""></div><div class="">I think a session of particular interest to this community is #98: Defining Data Professionals (abstract below)</div><div class=""><br class=""></div><div class=""><div class="">cheers,</div><div class=""><br class=""></div><div class="">-m. </div></div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">
<div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="color: rgb(0, 0, 0); letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div style="margin: 0px;" class="">Mark A. Parsons</div><div style="margin: 0px;" class="">Secretary General, Research Data Alliance</div><div style="margin: 0px;" class="">Rensselaer Polytechnic Institute</div><div style="margin: 0px;" class=""><a href="http://rd-alliance.org" class="">http://rd-alliance.org</a>, <a href="http://idea.rpi.edu" class="">http://idea.rpi.edu</a></div><div style="margin: 0px;" class=""> +1 518 410 3808</div><div style="margin: 0px;" class="">Skype: mark.a.parsons</div><div style="margin: 0px;" class="">mail: 1550 Linden Ave., Boulder CO 80304, USA</div><div style="margin: 0px;" class=""><br class=""></div><div style="margin: 0px;" class="">Have you made your plans for <a href="http://www.internationaldataweek.org" class="">International Data Week</a> yet? </div></div></div></div></div></div></div>
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<br class=""><div class=""><h5 style="box-sizing: border-box; font-family: Lato, Helvetica; font-weight: 500; line-height: 1.1; color: rgb(51, 51, 51); margin-top: 10px; margin-bottom: 10px; font-size: 14px;" class=""><span style="box-sizing: border-box; font-family: Lato; font-weight: 700;" class="">Session Title</span></h5><span style="color: rgb(51, 51, 51); font-family: Lato, Helvetica; font-size: 14px; background-color: rgb(255, 255, 255);" class="">Defining Data Professionals</span><h5 style="box-sizing: border-box; font-family: Lato, Helvetica; font-weight: 500; line-height: 1.1; color: rgb(51, 51, 51); margin-top: 10px; margin-bottom: 10px; font-size: 14px;" class=""><span style="box-sizing: border-box; font-family: Lato; font-weight: 700;" class="">Session Abstract</span></h5><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">Data reuse and analytics increasingly drive the research agenda and are even becoming a growing part of everyone's daily lives, whether they are aware of this or not. Enabling ethical data reuse requires data professionals to make data and associated systems and tools more robust, accessible, useful, and usable. This “in between” work is becoming more critical and is increasingly complex. It is multifaceted, and must include complex social and technical work necessary to enable greater analytics. </span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""><br style="box-sizing: border-box;" class=""></span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">While there is a strong demand for “data scientists” as highlighted in the now famous McKinsey Report (2011), and new data science programs are emerging in industry and academia, there is little understanding of what a data scientist does or should do (or even if that is the right term.) Current data scientists have diverse backgrounds. Some have established roles in information science and data management—research librarian, archivist, curator. Some may be statisticians or analysts. Some come from a background of computer science or systems engineering. Often, data professionals are people who are “doing data” as part of, or alongside, their “day job” as researcher, programmer, manager, lab technician, field support, etc. Yet none of these traditional professions fully address the complex, mediating requirements of making data work.</span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""><br style="box-sizing: border-box;" class=""></span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">In this session we propose to address the question of what it means to be a data professional. Defining the roles, the skills, and educational requirements for data professionals is challenging. We believe there is a need to rigorously define the core principles and requirements that would underlie data-centric professions. We seek to codify data professionalism be it a profession in its own right or the role of many professions. We have invited four diverse data professionals to share their perspectives.</span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""><br style="box-sizing: border-box;" class=""></span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">We also seek submissions for posters accompanied by a 90 - 120 second lightning talk. The posters can a) provide examples of current or developing educational and professional programs; b) describe how organisations are working to better define the role; c) provide</span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""> examples from other, especially similar, professions that have had to (re)define themselves, and d) ideas on how to better codify the profession, demonstrate value, and build respect for the field. The lighting talk should not summarize the poster, but should present a single conclusion, proposal, lesson learned, unanswered question, or point of debate drawn from the poster content. </span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""><br style="box-sizing: border-box;" class=""></span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">The session will open with four 10-minute presentations then we will have 20 min of lightning talks and close with a panel discussion with open audience participation on how to continue to advance the professionalism of data. </span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""><br style="box-sizing: border-box;" class=""></span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">Invited speakers and </span></font><span style="box-sizing: border-box; font-family: Lato; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">panellists</span><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""> include:</span></font></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class=""><br style="box-sizing: border-box;" class=""></span></font></div><p dir="ltr" style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""></p><ul style="box-sizing: border-box; font-family: Lato; margin-top: 0px; margin-bottom: 0in; color: rgb(51, 51, 51); font-size: 14px;" class=""><li style="box-sizing: border-box;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">Kevin Ashley, Director of the Digital Curation Center (confirmed)</span></li><li style="box-sizing: border-box;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">Peter Fox, Professor of Information Technology and Web Science and a founder of “geoinformatics. (confirmed)</span></li><li style="box-sizing: border-box;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">Amy Nurnberger, Research Data Manager at Columbia University Libraries who is conducting a survey of data related educational programs. (confirmed)</span></li><li style="box-sizing: border-box;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">Kristin Tolle, Head of Research Data Science at Microsoft Research. (pending)</span></li></ul><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0px 0px 10px; color: rgb(51, 51, 51); font-size: 14px;" class=""><br class="webkit-block-placeholder"></div><div style="box-sizing: border-box; font-family: Lato, Helvetica; margin: 0pt 0px; color: rgb(51, 51, 51); font-size: 14px;" class=""><font color="#000000" style="box-sizing: border-box; font-family: Lato;" class=""><span style="box-sizing: border-box; font-size: 14.6667px; line-height: 20.24px; white-space: pre-wrap;" class="">Mark Parsons will moderate the panel.</span></font></div></div></body></html>