Grid-Enabled Measures
Identifieur interne : 000217 ( Ncbi/Merge ); précédent : 000216; suivant : 000218Grid-Enabled Measures
Auteurs : Richard P. Moser ; Bradford W. Hesse ; Abdul R. Shaikh ; Paul Courtney ; Glen Morgan ; Erik Augustson ; Sarah Kobrin ; Kerry Levin ; Cynthia Helba ; David Garner ; Marsha Dunn ; Kisha CoaSource :
- American journal of preventive medicine [ 0749-3797 ] ; 2011.
Abstract
Scientists are taking advantage of the Internet and collaborative web technology to accelerate discovery in a massively connected, participative environment —a phenomenon referred to by some as Science 2.0. As a new way of doing science, this phenomenon has the potential to push science forward in a more efficient manner than was previously possible. The Grid-Enabled Measures (GEM) database has been conceptualized as an instantiation of Science 2.0 principles by the National Cancer Institute with two overarching goals: (1) Promote the use of standardized measures, which are tied to theoretically based constructs; and (2) Facilitate the ability to share harmonized data resulting from the use of standardized measures. This is done by creating an online venue connected to the Cancer Biomedical Informatics Grid (caBIG®) where a virtual community of researchers can collaborate together and come to consensus on measures by rating, commenting and viewing meta-data about the measures and associated constructs. This paper will describe the web 2.0 principles on which the GEM database is based, describe its functionality, and discuss some of the important issues involved with creating the GEM database, such as the role of mutually agreed-on ontologies (i.e., knowledge categories and the relationships among these categories— for data sharing).
Url:
DOI: 10.1016/j.amepre.2011.01.004
PubMed: 21521586
PubMed Central: 3088871
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As a new way of doing science, this phenomenon has the potential to push science forward in a more efficient manner than was previously possible. The Grid-Enabled Measures (GEM) database has been conceptualized as an instantiation of Science 2.0 principles by the National Cancer Institute with two overarching goals: (1) Promote the use of standardized measures, which are tied to theoretically based constructs; and (2) Facilitate the ability to share harmonized data resulting from the use of standardized measures. This is done by creating an online venue connected to the Cancer Biomedical Informatics Grid (caBIG<sup>®</sup>) where a virtual community of researchers can collaborate together and come to consensus on measures by rating, commenting and viewing meta-data about the measures and associated constructs. This paper will describe the web 2.0 principles on which the GEM database is based, describe its functionality, and discuss some of the important issues involved with creating the GEM database, such as the role of mutually agreed-on ontologies (i.e., knowledge categories and the relationships among these categories— for data sharing).</p></div></front></TEI><pmc article-type="research-article" xml:lang="en"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<pmc-dir>properties manuscript</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8704773</journal-id><journal-id journal-id-type="pubmed-jr-id">1656</journal-id><journal-id journal-id-type="nlm-ta">Am J Prev Med</journal-id><journal-title-group><journal-title>American journal of preventive medicine</journal-title></journal-title-group><issn pub-type="ppub">0749-3797</issn><issn pub-type="epub">1873-2607</issn></journal-meta><article-meta><article-id pub-id-type="pmid">21521586</article-id><article-id pub-id-type="pmc">3088871</article-id><article-id pub-id-type="doi">10.1016/j.amepre.2011.01.004</article-id><article-id pub-id-type="manuscript">NIHMS285492</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Grid-Enabled Measures</article-title><subtitle>Using Science 2.0 to Standardize Measures and Share Data</subtitle></title-group><contrib-group><contrib contrib-type="author"><name><surname>Moser</surname><given-names>Richard P.</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Hesse</surname><given-names>Bradford W.</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Shaikh</surname><given-names>Abdul R.</given-names></name><degrees>PhD, MHSc</degrees></contrib><contrib contrib-type="author"><name><surname>Courtney</surname><given-names>Paul</given-names></name><degrees>MS</degrees></contrib><contrib contrib-type="author"><name><surname>Morgan</surname><given-names>Glen</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Augustson</surname><given-names>Erik</given-names></name><degrees>PhD, MPH</degrees></contrib><contrib contrib-type="author"><name><surname>Kobrin</surname><given-names>Sarah</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Levin</surname><given-names>Kerry</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Helba</surname><given-names>Cynthia</given-names></name><degrees>PhD</degrees></contrib><contrib contrib-type="author"><name><surname>Garner</surname><given-names>David</given-names></name></contrib><contrib contrib-type="author"><name><surname>Dunn</surname><given-names>Marsha</given-names></name><degrees>MPH</degrees></contrib><contrib contrib-type="author"><name><surname>Coa</surname><given-names>Kisha</given-names></name><degrees>MPH</degrees></contrib><aff id="A1">National Cancer Institute (Moser, Hesse, Shaikh, Morgan, Augustson, Kobrin), NIH, Bethesda; Clinical Monitoring Research Program (Courtney), SAIC-Frederick, Inc., NCI-Frederick, Frederick; Westat Inc. (Levin, Helba, Garner, Dunn, Coa), Rockville, Maryland</aff></contrib-group><author-notes><corresp id="FN1">Address correspondence to: Richard P. Moser, PhD, National Cancer Institute, 6130 Executive Blvd., MSC 7326, Bethesda MD 20892-7365. <email>moserr@mail.nih.gov</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>5</day><month>4</month><year>2011</year></pub-date><pub-date pub-type="ppub"><month>5</month><year>2011</year></pub-date><pub-date pub-type="pmc-release"><day>1</day><month>5</month><year>2012</year></pub-date><volume>40</volume><issue>5 Suppl 2</issue><fpage>S134</fpage><lpage>S143</lpage><abstract><p id="P2">Scientists are taking advantage of the Internet and collaborative web technology to accelerate discovery in a massively connected, participative environment —a phenomenon referred to by some as Science 2.0. As a new way of doing science, this phenomenon has the potential to push science forward in a more efficient manner than was previously possible. The Grid-Enabled Measures (GEM) database has been conceptualized as an instantiation of Science 2.0 principles by the National Cancer Institute with two overarching goals: (1) Promote the use of standardized measures, which are tied to theoretically based constructs; and (2) Facilitate the ability to share harmonized data resulting from the use of standardized measures. This is done by creating an online venue connected to the Cancer Biomedical Informatics Grid (caBIG<sup>®</sup>) where a virtual community of researchers can collaborate together and come to consensus on measures by rating, commenting and viewing meta-data about the measures and associated constructs. This paper will describe the web 2.0 principles on which the GEM database is based, describe its functionality, and discuss some of the important issues involved with creating the GEM database, such as the role of mutually agreed-on ontologies (i.e., knowledge categories and the relationships among these categories— for data sharing).</p></abstract><funding-group><award-group><funding-source country="United States">NIH Intramural Employee : PHS</funding-source><award-id>NIH0011139653 || PHS</award-id></award-group></funding-group></article-meta></front></pmc><affiliations><list></list><tree><noCountry><name sortKey="Augustson, Erik" sort="Augustson, Erik" uniqKey="Augustson E" first="Erik" last="Augustson">Erik Augustson</name><name sortKey="Coa, Kisha" sort="Coa, Kisha" uniqKey="Coa K" first="Kisha" last="Coa">Kisha Coa</name><name sortKey="Courtney, Paul" sort="Courtney, Paul" uniqKey="Courtney P" first="Paul" last="Courtney">Paul Courtney</name><name sortKey="Dunn, Marsha" sort="Dunn, Marsha" uniqKey="Dunn M" first="Marsha" last="Dunn">Marsha Dunn</name><name sortKey="Garner, David" sort="Garner, David" uniqKey="Garner D" first="David" last="Garner">David Garner</name><name sortKey="Helba, Cynthia" sort="Helba, Cynthia" uniqKey="Helba C" first="Cynthia" last="Helba">Cynthia Helba</name><name sortKey="Hesse, Bradford W" sort="Hesse, Bradford W" uniqKey="Hesse B" first="Bradford W." last="Hesse">Bradford W. Hesse</name><name sortKey="Kobrin, Sarah" sort="Kobrin, Sarah" uniqKey="Kobrin S" first="Sarah" last="Kobrin">Sarah Kobrin</name><name sortKey="Levin, Kerry" sort="Levin, Kerry" uniqKey="Levin K" first="Kerry" last="Levin">Kerry Levin</name><name sortKey="Morgan, Glen" sort="Morgan, Glen" uniqKey="Morgan G" first="Glen" last="Morgan">Glen Morgan</name><name sortKey="Moser, Richard P" sort="Moser, Richard P" uniqKey="Moser R" first="Richard P." last="Moser">Richard P. Moser</name><name sortKey="Shaikh, Abdul R" sort="Shaikh, Abdul R" uniqKey="Shaikh A" first="Abdul R." last="Shaikh">Abdul R. Shaikh</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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