Building a biomedical cyberinfrastructure for collaborative research.
Identifieur interne : 000715 ( Main/Exploration ); précédent : 000714; suivant : 000716Building a biomedical cyberinfrastructure for collaborative research.
Auteurs : Peter A. Schad [États-Unis] ; Lee Rivers Mobley ; Carol M. HamiltonSource :
- American journal of preventive medicine [ 1873-2607 ] ; 2011.
Descripteurs français
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Biomedical Research (organization & administration), Biomedical Research (standards), Cooperative Behavior, Databases, Factual, Genome-Wide Association Study (methods), Humans, Internet, Medical Informatics (methods), National Institutes of Health (U.S.), Translational Medical Research (organization & administration), United States.
- MESH :
- geographic : United States.
- methods : Genome-Wide Association Study, Medical Informatics.
- organization & administration : Biomedical Research, Translational Medical Research.
- standards : Biomedical Research.
- Cooperative Behavior, Databases, Factual, Humans, Internet, National Institutes of Health (U.S.).
Abstract
For the potential power of genome-wide association studies (GWAS) and translational medicine to be realized, the biomedical research community must adopt standard measures, vocabularies, and systems to establish an extensible biomedical cyberinfrastructure. Incorporating standard measures will greatly facilitate combining and comparing studies via meta-analysis. Incorporating consensus-based and well-established measures into various studies should reduce the variability across studies due to attributes of measurement, making findings across studies more comparable. This article describes two well-established consensus-based approaches to identifying standard measures and systems: PhenX (consensus measures for phenotypes and eXposures), and the Open Geospatial Consortium (OGC). NIH support for these efforts has produced the PhenX Toolkit, an assembled catalog of standard measures for use in GWAS and other large-scale genomic research efforts, and the RTI Spatial Impact Factor Database (SIFD), a comprehensive repository of geo-referenced variables and extensive meta-data that conforms to OGC standards. The need for coordinated development of cyberinfrastructure to support measures and systems that enhance collaboration and data interoperability is clear; this paper includes a discussion of standard protocols for ensuring data compatibility and interoperability. Adopting a cyberinfrastructure that includes standard measures and vocabularies, and open-source systems architecture, such as the two well-established systems discussed here, will enhance the potential of future biomedical and translational research. Establishing and maintaining the cyberinfrastructure will require a fundamental change in the way researchers think about study design, collaboration, and data storage and analysis.
DOI: 10.1016/j.amepre.2011.01.018
PubMed: 21521587
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000044
- to stream PubMed, to step Curation: 000044
- to stream PubMed, to step Checkpoint: 000044
- to stream Ncbi, to step Merge: 000218
- to stream Ncbi, to step Curation: 000218
- to stream Ncbi, to step Checkpoint: 000218
- to stream Main, to step Merge: 000717
- to stream Main, to step Curation: 000715
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Building a biomedical cyberinfrastructure for collaborative research.</title><author><name sortKey="Schad, Peter A" sort="Schad, Peter A" uniqKey="Schad P" first="Peter A" last="Schad">Peter A. Schad</name><affiliation wicri:level="2"><nlm:affiliation>RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation></author><author><name sortKey="Mobley, Lee Rivers" sort="Mobley, Lee Rivers" uniqKey="Mobley L" first="Lee Rivers" last="Mobley">Lee Rivers Mobley</name></author><author><name sortKey="Hamilton, Carol M" sort="Hamilton, Carol M" uniqKey="Hamilton C" first="Carol M" last="Hamilton">Carol M. Hamilton</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="doi">10.1016/j.amepre.2011.01.018</idno><idno type="RBID">pubmed:21521587</idno><idno type="pmid">21521587</idno><idno type="wicri:Area/PubMed/Corpus">000044</idno><idno type="wicri:Area/PubMed/Curation">000044</idno><idno type="wicri:Area/PubMed/Checkpoint">000044</idno><idno type="wicri:Area/Ncbi/Merge">000218</idno><idno type="wicri:Area/Ncbi/Curation">000218</idno><idno type="wicri:Area/Ncbi/Checkpoint">000218</idno><idno type="wicri:Area/Main/Merge">000717</idno><idno type="wicri:Area/Main/Curation">000715</idno><idno type="wicri:Area/Main/Exploration">000715</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Building a biomedical cyberinfrastructure for collaborative research.</title><author><name sortKey="Schad, Peter A" sort="Schad, Peter A" uniqKey="Schad P" first="Peter A" last="Schad">Peter A. Schad</name><affiliation wicri:level="2"><nlm:affiliation>RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709</wicri:regionArea><placeName><region type="state">Caroline du Nord</region></placeName></affiliation></author><author><name sortKey="Mobley, Lee Rivers" sort="Mobley, Lee Rivers" uniqKey="Mobley L" first="Lee Rivers" last="Mobley">Lee Rivers Mobley</name></author><author><name sortKey="Hamilton, Carol M" sort="Hamilton, Carol M" uniqKey="Hamilton C" first="Carol M" last="Hamilton">Carol M. Hamilton</name></author></analytic><series><title level="j">American journal of preventive medicine</title><idno type="eISSN">1873-2607</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomedical Research (organization & administration)</term><term>Biomedical Research (standards)</term><term>Cooperative Behavior</term><term>Databases, Factual</term><term>Genome-Wide Association Study (methods)</term><term>Humans</term><term>Internet</term><term>Medical Informatics (methods)</term><term>National Institutes of Health (U.S.)</term><term>Translational Medical Research (organization & administration)</term><term>United States</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Genome-Wide Association Study</term><term>Medical Informatics</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Biomedical Research</term><term>Translational Medical Research</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Biomedical Research</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Cooperative Behavior</term><term>Databases, Factual</term><term>Humans</term><term>Internet</term><term>National Institutes of Health (U.S.)</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>États-Unis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">For the potential power of genome-wide association studies (GWAS) and translational medicine to be realized, the biomedical research community must adopt standard measures, vocabularies, and systems to establish an extensible biomedical cyberinfrastructure. Incorporating standard measures will greatly facilitate combining and comparing studies via meta-analysis. Incorporating consensus-based and well-established measures into various studies should reduce the variability across studies due to attributes of measurement, making findings across studies more comparable. This article describes two well-established consensus-based approaches to identifying standard measures and systems: PhenX (consensus measures for phenotypes and eXposures), and the Open Geospatial Consortium (OGC). NIH support for these efforts has produced the PhenX Toolkit, an assembled catalog of standard measures for use in GWAS and other large-scale genomic research efforts, and the RTI Spatial Impact Factor Database (SIFD), a comprehensive repository of geo-referenced variables and extensive meta-data that conforms to OGC standards. The need for coordinated development of cyberinfrastructure to support measures and systems that enhance collaboration and data interoperability is clear; this paper includes a discussion of standard protocols for ensuring data compatibility and interoperability. Adopting a cyberinfrastructure that includes standard measures and vocabularies, and open-source systems architecture, such as the two well-established systems discussed here, will enhance the potential of future biomedical and translational research. Establishing and maintaining the cyberinfrastructure will require a fundamental change in the way researchers think about study design, collaboration, and data storage and analysis.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Caroline du Nord</li></region></list><tree><noCountry><name sortKey="Hamilton, Carol M" sort="Hamilton, Carol M" uniqKey="Hamilton C" first="Carol M" last="Hamilton">Carol M. Hamilton</name><name sortKey="Mobley, Lee Rivers" sort="Mobley, Lee Rivers" uniqKey="Mobley L" first="Lee Rivers" last="Mobley">Lee Rivers Mobley</name></noCountry><country name="États-Unis"><region name="Caroline du Nord"><name sortKey="Schad, Peter A" sort="Schad, Peter A" uniqKey="Schad P" first="Peter A" last="Schad">Peter A. Schad</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000715 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000715 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= CyberinfraV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:21521587
|texte= Building a biomedical cyberinfrastructure for collaborative research.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:21521587" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CyberinfraV1
| This area was generated with Dilib version V0.6.25. |  |