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X-WR-CALNAME;VALUE=TEXT:Spatial Data Lab Webinar: Effective Data Management and Spatial Analytics
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UID:event_1595078_0
SUMMARY:Spatial Data Lab Webinar: Effective Data Management and Spatial Analytics
DESCRIPTION:<p style="margin:0cm0cm0.0001pt;text-align:justify">	<span style="color:#000000;"><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span lang="EN-US"><strong>Spatial Data Lab Webinar: Effective Data Management and Spatial Analytics</strong></span></span></span></span></span></span></span></span></span></p><p style="margin:0cm0cm0.0001pt;text-align:justify">	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><span lang="EN-US"><span style="Helvetica,sans-serif">1:00PM – 3:00PM, Tuesday June 22, 2021 (</span></span><span lang="EN-US"><span style="Helvetica,sans-serif">US Eastern Time)</span></span></span></span></span></span></span></span></span></span></span></p><p>	PPTs and Recording: <a href="https://doi.org/10.7910/DVN/PG5YMV" target="_blank">https://doi.org/10.7910/DVN/PG5YMV</a>, </p><p>	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><strong>Topics</strong></span></span></span></span></span></span></span></span></span></p><ul>	<li align="left" style="margin:0cm0cm0.0001pt14.2pt">		<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><span lang="EN-US"><span>· </span></span><strong>An Introduction to the Spatial Data Lab project and the new cloud platform for data sharing and analysis at Harvard</strong></span></span></span></span></span></span></span></span></span>	</li></ul><p align="left" style="margin:0cm0cm0.0001pt14.2pt">	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif">Wendy Guan, Harvard University and Shuming Bao, China Data Institute</span></span></span></span></span></span></span></span></span></p><ul>	<li align="left" style="margin:0cm0cm0.0001pt14.2pt">		<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><span lang="EN-US"><span>· </span></span><strong>Research data management and sharing with Harvard DataVerse</strong></span></span></span></span></span></span></span></span></span>	</li></ul><p align="left" style="margin:0cm0cm0.0001pt14.2pt">	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif">Sonia Barbosa, Harvard Institute for Quantitative Social Sciences</span></span></span></span></span></span></span></span></span></p><ul>	<li align="left" style="margin:0cm0cm0.0001pt14.2pt">		<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><span lang="EN-US"><span>· </span></span><strong>New features and direction of Knime, a free and efficient tool for data analysis</strong></span></span></span></span></span></span></span></span></span>	</li></ul><p align="left" style="margin:0cm0cm0.0001pt14.2pt">	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif">Stefan Helfrich, Knime</span></span></span></span></span></span></span></span></span></p><ul>	<li align="left" style="margin:0cm0cm0.0001pt14.2pt">		<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><span lang="EN-US"><span>·</span></span><strong>Spatial data analysis and visualization with ArcGIS: new features and directions</strong></span></span></span></span></span></span></span></span></span>	</li></ul><p align="left" style="margin:0cm0cm0.0001pt14.2pt">	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif">Jian Lange, ESRI</span></span></span></span></span></span></span></span></span></p><ul>	<li align="left" style="margin:0cm0cm0.0001pt14.2pt">		<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><span lang="EN-US"><span>· </span></span><strong>Replicable, reproducible and expandable case studies with workflow based data analysis</strong></span></span></span></span></span></span></span></span></span>	</li></ul><p align="left" style="margin:0cm0cm0.0001pt14.2pt">	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif">Tao Hu and Hanchen Yu, Harvard University; and Vincent Chen, RMDS Lab</span></span></span></span></span></span></span></span></span></p><p style="margin:0cm0cm0.0001pt;text-align:justify">	<span><span style="background-image:initial"><span style="background-position:initial"><span style="background-size:initial"><span style="background-repeat:initial"><span style="background-attachment:initial"><span style="background-origin:initial"><span style="background-clip:initial"><span style="sans-serif"><strong>Abstract</strong>: 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 lang="EN-US">This event is free to the public.</span></span></span></span></span></span></span></span></span></span></p>
LOCATION:Online
STATUS:CONFIRMED
DTSTART:20210622T170000Z
DTEND:20210622T190000Z
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