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X-WR-CALNAME;VALUE=TEXT:Effective Data Management and Spatial Analytics
PRODID:-//Harvard events data//EN
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UID:event_1598943_0
SUMMARY:Effective Data Management and Spatial Analytics
DESCRIPTION:<p>	<span style="background:white"><strong>Effective Data Management and Spatial Analytics</strong></span></p><p>	<span style="background:white"><span lang="EN-US" style="color:#222222">1:00PM – 3:00PM, Tuesday June 22, 2021 (</span>US Eastern Time<span style="color:#222222">)</span></span></p><p>	<span style="background:white"><strong>Registration</strong><span lang="EN-US" style="color:#222222">: <a href="https://www.eventbrite.com/e/158149785265">https://www.eventbrite.com/e/158149785265</a></span></span></p><p>	<span style="background:white"><strong>Topics</strong></span></p><ul>	<li align="left" style="text-align:left">		<span style="background:white"><span style="tab-stops:list36.0pt"><strong>An Introduction to the Spatial Data Lab project and the new cloud platform for data sharing and analysis at Harvard</strong></span></span>	</li></ul><p align="left" style="margin-left:14.2pt;text-align:left">	<span style="background:white"><span lang="EN-US" style="color:#222222">Wendy Guan, Harvard University and Shuming Bao, China Data Institute</span></span></p><ul>	<li align="left" style="text-align:left">		<span style="background:white"><span style="tab-stops:list36.0pt"><strong>Research data management and sharing with Harvard DataVerse</strong></span></span>	</li></ul><p align="left" style="margin-left:14.2pt;text-align:left">	<span style="background:white"><span lang="EN-US" style="color:#222222">Sonia Barbosa, Harvard Institute for Quantitative Social Sciences</span></span></p><ul>	<li align="left" style="text-align:left">		<span style="background:white"><span style="tab-stops:list36.0pt"><strong>New features and direction of Knime, a free and efficient tool for data analysis</strong></span></span>	</li></ul><p align="left" style="margin-left:14.2pt;text-align:left">	<span style="background:white"><span lang="EN-US" style="color:#222222">Stefan Helfrich, Knime</span></span></p><ul>	<li align="left" style="text-align:left">		<span style="background:white"><span style="tab-stops:list36.0pt"><strong>Spatial data analysis and visualization with ArcGIS: new features and directions</strong></span></span>	</li></ul><p align="left" style="margin-left:14.2pt;text-align:left">	<span style="background:white"><span lang="EN-US" style="color:#222222">Jian Lange, ESRI</span></span></p><ul>	<li align="left" style="text-align:left">		<span style="background:white"><span style="tab-stops:list36.0pt"><strong>Replicable, reproducible and expandable case studies with workflow based data analysis</strong></span></span>	</li></ul><p align="left" style="margin-left:14.2pt;text-align:left">	<span style="background:white"><span lang="EN-US" style="color:#222222">Tao Hu and Huanchen Yu, Harvard University; and Vincent Chen, RMDS Lab</span></span></p><p>	 </p><strong>Abstract</strong><span lang="EN-US"><span><span style="color:#222222">: This webinar will introduce the implementations of effective data management and spatial analytics by academic and industry leaders of the field, and discuss the directions for further enhancement through integration with a cloud-based platform for research data sharing and workflow-based data analytics.</span></span></span>
LOCATION:Online
STATUS:CONFIRMED
DTSTART:20210622T170000Z
DTEND:20210622T190000Z
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