<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
  This ontology document is licensed under the Creative Commons
  Attribution License. To view a copy of this license, visit
  http://creativecommons.org/licenses/by/2.0/ or send a letter to
  Creative Commons, 559 Nathan Abbott Way, Stanford, California
  94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu/tag/scientific computing/">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/scientific computing/</link>
  <description><![CDATA[RSS Tag Search]]></description>
  <items>
   <rdf:Seq>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence"/>
   </rdf:Seq>
  </items>
 </channel>
 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
  <url>http://ebiquity.umbc.edu/img/logo.jpg</url>
 </image>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System">
  <title><![CDATA[Provenance Tracking in an Earth Science Data Processing System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/444/Provenance-Tracking-in-an-Earth-Science-Data-Processing-System</link>
  <description><![CDATA[NASA and other organizations involved with climate research have captured huge archives of earth observations. The sensors, spacecraft, and science algorithms for transforming and analyzing the data and the processing frameworks are evolving over time. Science Data Processing Systems (SDPSes) should capture, archive, and distribute provenance information of all externally received data and algorithms, as well as describing all internal processes used for data transformation.  This will make t...]]></description>
  <dc:date>2008-06-17</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence">
  <title><![CDATA[Enabling Reproducibility of Scientific Data Flows with Provenance Equivalence]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/380/Enabling-Reproducibility-of-Scientific-Data-Flows-with-Provenance-Equivalence</link>
  <description><![CDATA[Reproducibility of results is a key tenet of science.  Some modern scientific domains, such as Earth Science, have become computationally complicated and, particularly with the advent of higher resolution space based remote sensing platforms, tremendously data intensive.  Over the last few decades, these complexities along with the the rapid advancement of the state of the art confound the goal of scientific transparency.

We explore concepts of data identification, organization, equivalenc...]]></description>
  <dc:date>2011-02-08</dc:date>
 </item>
</rdf:RDF>

