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Sharing behavioral data through a grid infrastructure using data standards

Identifieur interne : 000364 ( Pmc/Corpus ); précédent : 000363; suivant : 000365

Sharing behavioral data through a grid infrastructure using data standards

Auteurs : Hua Min ; Riki Ohira ; Michael A. Collins ; Jessica Bondy ; Nancy E. Avis ; Olga Tchuvatkina ; Paul K. Courtney ; Richard P. Moser ; Abdul R. Shaikh ; Bradford W. Hesse ; Mary Cooper ; Dianne Reeves ; Bob Lanese ; Cindy Helba ; Suzanne M. Miller ; Eric A. Ross

Source :

RBID : PMC:4078270

Abstract

Objective

In an effort to standardize behavioral measures and their data representation, the present study develops a methodology for incorporating measures found in the National Cancer Institute's (NCI) grid-enabled measures (GEM) portal, a repository for behavioral and social measures, into the cancer data standards registry and repository (caDSR).

Methods

The methodology consists of four parts for curating GEM measures into the caDSR: (1) develop unified modeling language (UML) models for behavioral measures; (2) create common data elements (CDE) for UML components; (3) bind CDE with concepts from the NCI thesaurus; and (4) register CDE in the caDSR.

Results

UML models have been developed for four GEM measures, which have been registered in the caDSR as CDE. New behavioral concepts related to these measures have been created and incorporated into the NCI thesaurus. Best practices for representing measures using UML models have been utilized in the practice (eg, caDSR). One dataset based on a GEM-curated measure is available for use by other systems and users connected to the grid.

Conclusions

Behavioral and population science data can be standardized by using and extending current standards. A new branch of CDE for behavioral science was developed for the caDSR. It expands the caDSR domain coverage beyond the clinical and biological areas. In addition, missing terms and concepts specific to the behavioral measures addressed in this paper were added to the NCI thesaurus. A methodology was developed and refined for curation of behavioral and population science data.


Url:
DOI: 10.1136/amiajnl-2013-001763
PubMed: 24076749
PubMed Central: 4078270

Links to Exploration step

PMC:4078270

Le document en format XML

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,
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<title>Objective</title>
<p>In an effort to standardize behavioral measures and their data representation, the present study develops a methodology for incorporating measures found in the National Cancer Institute's (NCI) grid-enabled measures (GEM) portal, a repository for behavioral and social measures, into the cancer data standards registry and repository (caDSR).</p>
</sec>
<sec>
<title>Methods</title>
<p>The methodology consists of four parts for curating GEM measures into the caDSR: (1) develop unified modeling language (UML) models for behavioral measures; (2) create common data elements (CDE) for UML components; (3) bind CDE with concepts from the NCI thesaurus; and (4) register CDE in the caDSR.</p>
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<p>UML models have been developed for four GEM measures, which have been registered in the caDSR as CDE. New behavioral concepts related to these measures have been created and incorporated into the NCI thesaurus. Best practices for representing measures using UML models have been utilized in the practice (eg, caDSR). One dataset based on a GEM-curated measure is available for use by other systems and users connected to the grid.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Behavioral and population science data can be standardized by using and extending current standards. A new branch of CDE for behavioral science was developed for the caDSR. It expands the caDSR domain coverage beyond the clinical and biological areas. In addition, missing terms and concepts specific to the behavioral measures addressed in this paper were added to the NCI thesaurus. A methodology was developed and refined for curation of behavioral and population science data.</p>
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<xref ref-type="aff" rid="af6">6</xref>
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<xref ref-type="aff" rid="af7">7</xref>
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<name>
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<given-names>Mary</given-names>
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<xref ref-type="aff" rid="af9">9</xref>
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<given-names>Dianne</given-names>
</name>
<xref ref-type="aff" rid="af10">10</xref>
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<contrib contrib-type="author">
<name>
<surname>Lanese</surname>
<given-names>Bob</given-names>
</name>
<xref ref-type="aff" rid="af11">11</xref>
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<contrib contrib-type="author">
<name>
<surname>Helba</surname>
<given-names>Cindy</given-names>
</name>
<xref ref-type="aff" rid="af12">12</xref>
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<contrib contrib-type="author">
<name>
<surname>Miller</surname>
<given-names>Suzanne M</given-names>
</name>
<xref ref-type="aff" rid="af2">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ross</surname>
<given-names>Eric A</given-names>
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<xref ref-type="aff" rid="af2">2</xref>
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<addr-line>Department of Social Sciences and Health Policy</addr-line>
,
<institution>Wake Forest University School of Medicine</institution>
,
<addr-line>Winston-Salem, North Carolina</addr-line>
,
<country>USA</country>
</aff>
<aff id="af6">
<label>6</label>
<institution>Dana-Farber Cancer Institute</institution>
,
<addr-line>Boston, Massachusetts</addr-line>
,
<country>USA</country>
</aff>
<aff id="af7">
<label>7</label>
<institution>Behavioral Research Program, National Cancer Institute</institution>
,
<addr-line>Rockville, Maryland</addr-line>
,
<country>USA</country>
</aff>
<aff id="af8">
<label>8</label>
<institution>PricewaterhouseCoopers LLP</institution>
,
<addr-line>McLean, Virginia</addr-line>
,
<country>USA</country>
</aff>
<aff id="af9">
<label>9</label>
<institution>Science Applications International Corporation</institution>
,
<addr-line>McLean, Virginia</addr-line>
,
<country>USA</country>
</aff>
<aff id="af10">
<label>10</label>
<institution>National Cancer Institute</institution>
,
<addr-line>Rockville, Maryland</addr-line>
,
<country>USA</country>
</aff>
<aff id="af11">
<label>11</label>
<institution>Ireland Cancer Center, Case Western Reserve University</institution>
,
<addr-line>Cleveland, Ohio</addr-line>
,
<country>USA</country>
</aff>
<aff id="af12">
<label>12</label>
<institution>Westat</institution>
,
<addr-line>Rockville, Maryland</addr-line>
,
<country>USA</country>
</aff>
<author-notes>
<corresp>
<label>Correspondence to</label>
Dr Hua Min, Department of Health Administration and Policy, College of Health and Human Services, 4400 University Drive – MS1J3, George Mason University, Fairfax, VA 22030, USA;
<email>gmu3@gmu.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="ppub">
<month>7</month>
<year>2014</year>
</pub-date>
<pub-date pub-type="epub">
<day>27</day>
<month>9</month>
<year>2013</year>
</pub-date>
<volume>21</volume>
<issue>4</issue>
<fpage>642</fpage>
<lpage>649</lpage>
<history>
<date date-type="received">
<day>25</day>
<month>2</month>
<year>2013</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>8</month>
<year>2013</year>
</date>
<date date-type="accepted">
<day>9</day>
<month>9</month>
<year>2013</year>
</date>
</history>
<permissions>
<copyright-statement>Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions</copyright-statement>
<copyright-year>2014</copyright-year>
</permissions>
<self-uri xlink:title="pdf" xlink:type="simple" xlink:href="amiajnl-2013-001763.pdf"></self-uri>
<abstract>
<sec>
<title>Objective</title>
<p>In an effort to standardize behavioral measures and their data representation, the present study develops a methodology for incorporating measures found in the National Cancer Institute's (NCI) grid-enabled measures (GEM) portal, a repository for behavioral and social measures, into the cancer data standards registry and repository (caDSR).</p>
</sec>
<sec>
<title>Methods</title>
<p>The methodology consists of four parts for curating GEM measures into the caDSR: (1) develop unified modeling language (UML) models for behavioral measures; (2) create common data elements (CDE) for UML components; (3) bind CDE with concepts from the NCI thesaurus; and (4) register CDE in the caDSR.</p>
</sec>
<sec>
<title>Results</title>
<p>UML models have been developed for four GEM measures, which have been registered in the caDSR as CDE. New behavioral concepts related to these measures have been created and incorporated into the NCI thesaurus. Best practices for representing measures using UML models have been utilized in the practice (eg, caDSR). One dataset based on a GEM-curated measure is available for use by other systems and users connected to the grid.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Behavioral and population science data can be standardized by using and extending current standards. A new branch of CDE for behavioral science was developed for the caDSR. It expands the caDSR domain coverage beyond the clinical and biological areas. In addition, missing terms and concepts specific to the behavioral measures addressed in this paper were added to the NCI thesaurus. A methodology was developed and refined for curation of behavioral and population science data.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Common Data Element</kwd>
<kwd>Vocabulary</kwd>
<kwd>Ontology</kwd>
<kwd>Behavioral Measure</kwd>
<kwd>Grid Infrastructure</kwd>
<kwd>Data Sharing</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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