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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Jonathan N. Cummings.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Nunes, Daniel A. (Daniel Aaron)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">62324354</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 41).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">With global collaboration becoming increasingly common among researchers, project managers are seeking to reduce the negative impact of distance on team performance. There is an increasing demand for an integrated tool to assess and analyze the properties of work groups in order to identify key features which could either facilitate or hinder performance. The described system creates a robust interface for researchers and project managers to calculate statistics, analyze, visualize, and compare assessment data in order to gain insight into the interaction networks of work groups.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Daniel A. Nunes.</dim:field>
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   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">43 p.</dim:field>
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   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">System for the online analysis of distributed projects</dim:field>
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   	&lt;Title>System for the online analysis of distributed projects&lt;/Title>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>With global collaboration becoming increasingly common among researchers, project managers are seeking to reduce the negative impact of distance on team performance. There is an increasing demand for an integrated tool to assess and analyze the properties of work groups in order to identify key features which could either facilitate or hinder performance. The described system creates a robust interface for researchers and project managers to calculate statistics, analyze, visualize, and compare assessment data in order to gain insight into the interaction networks of work groups.&lt;/Abstract>
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