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<title>Jillian C Wallis</title>
<copyright>Copyright (c) 2009  All rights reserved.</copyright>
<link>http://works.bepress.com/jillian_wallis</link>
<description>Recent documents in Jillian C Wallis</description>
<language>en-us</language>
<lastBuildDate>Mon, 08 Jun 2009 14:02:07 PDT</lastBuildDate>
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<item>
<title>Drowning in Data: Digital Library Architecture to Support Scientists&apos; Use of Embedded Sensor Networks.</title>
<link>http://works.bepress.com/jillian_wallis/21</link>
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<pubDate>Mon, 11 May 2009 20:54:16 PDT</pubDate>
<description></description>

<author>Christine L. Borgman</author>


<category>Digital Libraries</category>

<category>CENS &amp; CENSEI</category>

</item>


<item>
<title>CENS Deployment Center </title>
<link>http://works.bepress.com/jillian_wallis/20</link>
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<pubDate>Mon, 11 May 2009 20:54:15 PDT</pubDate>
<description>CENS collects data for scientific applications using nascent embedded sensing system technology on real-world deployments.  Data collection occurs through a complex set of interactions and relationships between people, instruments, and the physical setting.  In order to fully understand and evaluate data that results from real-world deployments, it is necessary to be aware of the context of data collection.  CENS deployment documentation varies widely, existing both electronically and in lab or field notebooks, and is typically stored separate from the data. We are developing the CENS Deployment Center, a web accessible database for deployment information to provide CENS research groups with a centralized location for pre-deployment planning and post-deployment knowledge. We hope that the CENSDC will promote deployment efficiency and continuity as research personnel changes over time and CENS technology is deployed more widely.</description>

<author>Matthew S. Mayernik</author>


</item>


<item>
<title>Know thy sensor: CENS as a case study of the relationship between data integrity, metadata, and data interpretation.</title>
<link>http://works.bepress.com/jillian_wallis/19</link>
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<pubDate>Mon, 11 May 2009 20:54:14 PDT</pubDate>
<description></description>

<author>Jillian C. Wallis</author>


<category>CENS &amp; CENSEI</category>

</item>


<item>
<title>Education Overview</title>
<link>http://works.bepress.com/jillian_wallis/18</link>
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<pubDate>Mon, 11 May 2009 20:54:13 PDT</pubDate>
<description></description>

<author>Karen Kim</author>


<category>Education</category>

</item>


<item>
<title>The Life Cycle of CENS Data </title>
<link>http://works.bepress.com/jillian_wallis/17</link>
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<pubDate>Mon, 11 May 2009 20:54:13 PDT</pubDate>
<description>The success of eScience research depends not only upon effective collaboration between scientists and technologists but also upon the active involvement of data archivists. Archivists rarely receive scientific data until findings are published, by which time important information about their origins, context, and provenance may be lost. Research reported here addresses the life cycle of data from collaborative ecological research with embedded networked sensing technologies. A better understanding of these processes will enable archivists to participate in earlier stages of the life cycle and to improve curation of these types of scientific data. Evidence from our interview study and field research yields a nine-stage life cycle. Among the findings are the cumulative effect of decisions made at each stage of the life cycle; the balance of decision-making between scientific and technology research partners; and the loss of certain types of data that may be essential to later interpretation.</description>

<author>Jillian C. Wallis</author>


</item>


<item>
<title>Overview of CENS Statistics and Data Practices Research</title>
<link>http://works.bepress.com/jillian_wallis/16</link>
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<pubDate>Mon, 11 May 2009 20:54:12 PDT</pubDate>
<description>Data, statistical models and inferential procedures permeate CENS deployments, from the four founding scientific application areas to the more recent urban sensing campaigns. This cross-center research breaks down into three classes of research: 1) General statistical models for embedded sensing, with specific applications to data quality and continuous sampling, 2) Significant CENS-designed and supported databases and repositories, and 3) Studies into the data lifecycle for embedded sensing systems.      </description>

<author>David Fearon</author>


<category>Statistics and Data Practices</category>

</item>


<item>
<title>Little Science confronts the data deluge: Habitat ecology, embedded sensor networks, and digital libraries</title>
<link>http://works.bepress.com/jillian_wallis/14</link>
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<pubDate>Mon, 11 May 2009 20:54:11 PDT</pubDate>
<description></description>

<author>Christine L. Borgman</author>


<category>CENS &amp; CENSEI</category>

</item>


<item>
<title>The special case of scientific data sharing with education</title>
<link>http://works.bepress.com/jillian_wallis/15</link>
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<pubDate>Mon, 11 May 2009 20:54:11 PDT</pubDate>
<description></description>

<author>Jillian C. Wallis</author>


<category>Scientific Data Practices</category>

<category>Education &amp; Learning</category>

</item>


<item>
<title>CENS Pre-college Activities: 7 - 12 &amp; CENSEI</title>
<link>http://works.bepress.com/jillian_wallis/13</link>
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<pubDate>Mon, 11 May 2009 20:54:10 PDT</pubDate>
<description>This poster highlights the progress of The CENS Pre-College Education group as part of the CENS educational pipeline.</description>

<author>Kathy Griffis</author>


</item>


<item>
<title>Knitting a fabric of sensor data and literature. in Information Processing in Sensor Networks</title>
<link>http://works.bepress.com/jillian_wallis/12</link>
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<pubDate>Mon, 11 May 2009 20:54:09 PDT</pubDate>
<description></description>

<author>Alberto Pepe</author>


<category>CENS &amp; CENSEI</category>

</item>



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