<div dir="ltr"><p style="margin:0px 0px 1.71429rem;padding:0px;border:0px;font-size:14px;vertical-align:baseline;line-height:1.71429;color:rgb(68,68,68);font-family:"Open Sans",Helvetica,Arial,sans-serif"><b style="margin:0px;padding:0px;border:0px;vertical-align:baseline">July 2019:  Publications in the Data Science Journal</b></p><div style="margin:0px;padding:0px;border:0px;font-size:14px;vertical-align:baseline;color:rgb(68,68,68);font-family:"Open Sans",Helvetica,Arial,sans-serif"><table border="0" width="100%" style="margin:0px 0px 1.71429rem;padding:0px;border-width:0px 0px 1px;border-top-style:initial;border-right-style:initial;border-bottom-style:solid;border-left-style:initial;border-top-color:initial;border-right-color:initial;border-bottom-color:rgb(237,237,237);border-left-color:initial;font-size:0.857143rem;vertical-align:baseline;border-collapse:collapse;border-spacing:0px;color:rgb(117,117,117);line-height:2;width:624.667px"><tbody style="margin:0px;padding:0px;border:0px;font-size:12px;vertical-align:baseline"><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/987/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>Real Estate Evaluation Model Based on Genetic Algorithm Optimized Neural Network<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Yan Sun<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>URL: </strong><a href="http://doi.org/10.5334/dsj-2019-036" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-036</a></td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td align="left" valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td align="left" valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><a href="https://datascience.codata.org/articles/codata/thumbs/serve/914/" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)"><img class="gmail-alignleft gmail-size-large" src="https://datascience.codata.org/articles/codata/thumbs/serve/914/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;"></a>Title:</strong> Abnormal Pattern Prediction: Detecting Fraudulent Insurance Property Claims with Semi-Supervised Machine-Learning<br><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline">Author: </strong>Sebastián M. Palacio<br><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline">URL: </strong><a href="http://doi.org/10.5334/dsj-2019-035" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-035</a></td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td align="left" valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td align="left" valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-size-large gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/950/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>A Regional Project in Support of the SADC Cyber-Infrastructure Framework Implementation: Weather and Climate<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Mary-Jane Morongwa Bopape , Happy Marumo Sithole, Tshiamo Motshegwa, Edward Rakate, Francois Engelbrecht, Emma Archer, Anneline Morgan, Lwando Ndimeni, Joel Botai<br><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline">URL: </strong><a href="http://doi.org/10.5334/dsj-2019-034" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-034</a></td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-size-large gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/990/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>Designing Transnational Hydroclimatological Observation Networks and Data Sharing Policies in West Africa<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Seyni Salack , Aymar Bossa, Jan Bliefernicht, Sina Berger, Yacouba Yira, Kamil A. Sanoussi, Samuel Guug, Dominicus Heinzeller, Adolphe S. Avocanh, Barro Hamadou, Symphorien Meda, Belko A. Diallo, Igor B. Bado, Inoussa A. Saley, Elidaa K. Daku, Namo Z. Lawson, Aida Ganaba, Safiétou Sanfo, Koufanou Hien, Arone Aduna, Gero Steup, Bernd Diekkrüger, Moussa Waongo, Antonio Rogmann, Ralf Kunkel, John P. A. Lamers, Mouhamadou B. Sylla, Harald Kunstmann, Boubacar Barry, Laurent G. Sedogo, Christian Jaminon, Paul Vlek, Jimmy Adegoke, Moumini Savadogo<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>URL: </strong><a href="http://doi.org/10.5334/dsj-2019-033" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-033</a></td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-size-large gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/913/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Nuno Antonio, Ana de Almeida, Luis Nunes <strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>URL: </strong><a href="http://doi.org/10.5334/dsj-2019-032" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-032</a></td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-size-large gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/886/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>Indigenous Data Governance: Strategies from United States Native Nations <strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Stephanie Russo Carroll, Desi Rodriguez-Lonebear, Andrew Martinez <strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>URL: </strong><a href="http://doi.org/10.5334/dsj-2019-031" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-03</a>1</td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-size-large gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/952/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>Building Open Access to Research (OAR) Data Infrastructure at NIST<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Gretchen Greene , Raymond Plante, Robert Hanisch<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>URL: </strong><a href="http://doi.org/10.5334/dsj-2019-030" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-030</a></td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-size-large gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/903/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>The Landscape of Rights and Licensing Initiatives for Data Sharing<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Sam Grabus, Jane Greenberg<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>URL: </strong><a href="http://doi.org/10.5334/dsj-2019-029" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-029</a></td></tr><tr style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"></td><td valign="top" style="padding:6px 10px 6px 0px;border-width:1px 0px 0px;border-top-style:solid;border-right-style:initial;border-bottom-style:initial;border-left-style:initial;border-top-color:rgb(237,237,237);border-right-color:initial;border-bottom-color:initial;border-left-color:initial;vertical-align:baseline"><strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><img class="gmail-size-large gmail-alignleft" src="https://datascience.codata.org/articles/codata/thumbs/serve/963/" width="100" height="100" style="margin: 0.857143rem 1.71429rem 0.857143rem 0px; padding: 0px; border: 0px; vertical-align: baseline; float: left; max-width: 100%; height: auto; border-radius: 3px; box-shadow: rgba(0, 0, 0, 0.2) 0px 1px 4px;">Title: </strong>Data Sharing Practices among Researchers at South African Universities<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>Author</strong>: Siviwe Bangani, Mathew Moyo<strong style="margin:0px;padding:0px;border:0px;vertical-align:baseline"><br>URL: </strong><a href="http://doi.org/10.5334/dsj-2019-028" style="margin:0px;padding:0px;border:0px;vertical-align:baseline;outline:none;color:rgb(159,159,159)">http://doi.org/10.5334/dsj-2019-028</a></td></tr></tbody></table></div><div>Thanks,</div><div>Asha</div>-- <br><div dir="ltr" class="gmail_signature" 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>