<div dir="ltr"><div class="gmail_quote"><div dir="ltr"><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><a href="https://codata.org/wp-content/uploads/2021/02/dsschool1.jpg" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none" target="_blank"><img src="https://codata.org/wp-content/uploads/2021/02/dsschool1-300x126.jpg" alt="" width="428" height="181" style="box-sizing:border-box;margin:0px 0px 0px 15px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;max-width:100%;height:auto;float:right;display:inline"></a>Contemporary research – particularly when addressing the most significant, inter-disciplinary research challenges – cannot effectively be done without a range of skills relating to data. The CODATA-RDA Schools of Research Data Science initiative has developed a short course curriculum, presented in summer school style, that addresses these training requirements. <a href="https://www.datascienceschools.org/" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none" target="_blank">Read more</a></p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">The curriculum of the CODATA-RDA School of Research Data Science – South Africa is presented as ten themes. Participants will be allowed seven days (a week) to complete each theme. Generally the participant would need to make provision for at least seven to eight hours to work through the content of the theme. The content also makes provision for practical exercises and at least one live question and answer session where facilitators will address concerns participants may have. Content will be provided as video lectures as well as presentation slides.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">Link to a <a href="https://researchdata.up.ac.za/articles/media/CODATA-RDA_Summer_School_Pretoria_2020/11955453" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none" target="_blank">video with testimonials</a> by some of the 2020 School participants.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">This online school provides early career African researchers (M-level to postdoc) and professionals with the foundational data science skills, which include technical skills and responsible research practices, to enable them to work with their data in an effective and efficient manner required by 21st century research.</p><p style="box-sizing:border-box;margin:0px;padding:0px 0px 1em;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">For more information and to apply, visit <a href="https://datascienceschools.co.za/about/" rel="noopener" style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;vertical-align:baseline;background:transparent;color:rgb(46,163,242);text-decoration-line:none" target="_blank">https://datascienceschools.co.za/about/</a></p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">The deadline for applications is 14 March.  There is a non refundable attendance fee of 1150 ZAR.</p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif"><br></p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">Thanks,</p><p style="box-sizing:border-box;margin:0px;padding:0px;border:0px;outline:0px;font-size:14px;vertical-align:baseline;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;color:rgb(102,102,102);font-family:"Open Sans",Arial,sans-serif">Asha</p><div><br></div>--<div><div style="color:rgb(0,0,0)">___________________________<br></div><div style="color:rgb(0,0,0)"><div><br></div><div><b><a href="https://codata.org/events/conferences/international-data-week-2021/call-for-sessions-scidatacon-2021/" target="_blank">Call for Sessions, SciDataCon</a> part of <a href="https://internationaldataweek.org/" target="_blank">International Data Week</a>: </b><a href="https://www.scidatacon.org/IDW2021/" target="_blank">deadline 31 March 2021</a></div><div><br></div><div><b>What is International Data Week?</b> <a href="https://codata.org/register-now-webinar-on-introducing-the-international-data-week-2021/" target="_blank">Find out in this webinar at 13:00 UTC on 4 March.</a></div><div><br></div><div><b>Open Science for a Global Transformation:</b> <a href="https://codata.org/open-science-for-a-global-transformation-call-for-papers-for-a-special-collection-in-data-science-journal/" target="_blank">Call for Papers for a Special Collection in Data Science Journal in relation to the UNESCO Recommendation on Open Science</a></div><div><br></div><div><b>Data for Resilient Cities Podcast Series: </b><a href="https://codata.org/initiatives/strategic-programme/codata-connect/cag-cept-and-codata-podcast-series-on-data-for-resilient-cities/" target="_blank">CAG-CEPT and CODATA Podcast Series</a> | <a href="https://crdf.org.in/podcast/data-for-resilient-cities" target="_blank">Subscribe</a> | <a href="https://soundcloud.com/dataforresilientcities" target="_blank">SoundCloud</a></div><div><br></div><a href="https://codata.org/january-2021-publications-in-the-data-science-journal/" target="_blank"><b>January 2021 publications</b></a> in the <a href="https://datascience.codata.org/" target="_blank">CODATA Data Science Journal</a></div><div style="color:rgb(0,0,0)"><div><br></div><div><b>Stay in touch with CODATA:</b></div><div></div><div><br></div><div>Stay up to date with CODATA activities: <a href="http://lists.codata.org/mailman/listinfo/codata-international_lists.codata.org" target="_blank">join the CODATA International News list</a></div><div><br></div><div>Looking for training and career opportunities in data science and data stewardship?  <a href="http://lists.codata.org/mailman/listinfo/data_science_training_lists.codata.org" target="_blank">Sign up to the CODATA early career community-run data science training and careers list</a></div><div><br></div><div>Follow us on social media! <a href="https://twitter.com/CODATANews" target="_blank">Twitter</a> - <a href="https://www.facebook.com/codata.org/" target="_blank">Facebook</a> - <a href="https://www.linkedin.com/in/simon-hodson-b3711a11/" target="_blank">LinkedIn</a> - <a href="https://www.instagram.com/codatainternational/" target="_blank">Instagram</a></div></div><div><div dir="ltr" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr" style="font-size:small"><div style="font-size:12.8px"><div style="color:rgb(0,0,0)">___________________________<br></div></div></div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">Asha Law | Program Assistant, CODATA | <a href="http://www.codata.org/" style="color:rgb(17,85,204)" target="_blank">http://www.codata.org</a></div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">E-Mail: <a href="mailto:asha@codata.org" style="color:rgb(17,85,204)" target="_blank">asha@codata.org</a><br></div><div dir="ltr" style="font-size:small">Tel (Office): +33 1 45 25 04 96</div><div dir="ltr" style="font-size:small"><br></div><div dir="ltr" style="font-size:small">CODATA (Committee on Data of the International Council for Science), 5 rue Auguste Vacquerie, 75016 Paris, FRANCE</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>