Managing complex research datasets using electronic tools: A meta-analysis exemplar
Identifieur interne : 000165 ( Ncbi/Merge ); précédent : 000164; suivant : 000166Managing complex research datasets using electronic tools: A meta-analysis exemplar
Auteurs : Sharon A. Brown ; Ellen E. Martin ; Theresa J. Garcia ; Mary A. Winter ; Alexandra A. García ; Adama Brown ; Heather E. Cuevas ; Lisa L. SumlinSource :
- Computers, informatics, nursing : CIN [ 1538-2931 ] ; 2013.
Abstract
Meta-analyses of broad scope and complexity require investigators to organize many study documents and manage communication among several research staff. Commercially available electronic tools, e.g., EndNote, Adobe Acrobat Pro, Blackboard, Excel, and IBM SPSS Statistics (SPSS), are useful for organizing and tracking the meta-analytic process, as well as enhancing communication among research team members. The purpose of this paper is to describe the electronic processes we designed, using commercially available software, for an extensive quantitative model-testing meta-analysis we are conducting. Specific electronic tools improved the efficiency of (a) locating and screening studies, (b) screening and organizing studies and other project documents, (c) extracting data from primary studies, (d) checking data accuracy and analyses, and (e) communication among team members. The major limitation in designing and implementing a fully electronic system for meta-analysis was the requisite upfront time to: decide on which electronic tools to use, determine how these tools would be employed, develop clear guidelines for their use, and train members of the research team. The electronic process described here has been useful in streamlining the process of conducting this complex meta-analysis and enhancing communication and sharing documents among research team members.
Url:
DOI: 10.1097/NXN.0b013e318295e69c
PubMed: 23681256
PubMed Central: 3703244
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PMC:3703244Le document en format XML
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<author><name sortKey="Brown, Sharon A" sort="Brown, Sharon A" uniqKey="Brown S" first="Sharon A." last="Brown">Sharon A. Brown</name>
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<author><name sortKey="Martin, Ellen E" sort="Martin, Ellen E" uniqKey="Martin E" first="Ellen E." last="Martin">Ellen E. Martin</name>
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<author><name sortKey="Garcia, Theresa J" sort="Garcia, Theresa J" uniqKey="Garcia T" first="Theresa J." last="Garcia">Theresa J. Garcia</name>
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<author><name sortKey="Winter, Mary A" sort="Winter, Mary A" uniqKey="Winter M" first="Mary A." last="Winter">Mary A. Winter</name>
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<author><name sortKey="Garcia, Alexandra A" sort="Garcia, Alexandra A" uniqKey="Garcia A" first="Alexandra A." last="García">Alexandra A. García</name>
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<author><name sortKey="Brown, Adama" sort="Brown, Adama" uniqKey="Brown A" first="Adama" last="Brown">Adama Brown</name>
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<front><div type="abstract" xml:lang="en"><p id="P1">Meta-analyses of broad scope and complexity require investigators to organize many study documents and manage communication among several research staff. Commercially available electronic tools, e.g., EndNote, Adobe Acrobat Pro, Blackboard, Excel, and IBM SPSS Statistics (SPSS), are useful for organizing and tracking the meta-analytic process, as well as enhancing communication among research team members. The purpose of this paper is to describe the electronic processes we designed, using commercially available software, for an extensive quantitative model-testing meta-analysis we are conducting. Specific electronic tools improved the efficiency of (a) locating and screening studies, (b) screening and organizing studies and other project documents, (c) extracting data from primary studies, (d) checking data accuracy and analyses, and (e) communication among team members. The major limitation in designing and implementing a fully electronic system for meta-analysis was the requisite upfront time to: decide on which electronic tools to use, determine how these tools would be employed, develop clear guidelines for their use, and train members of the research team. The electronic process described here has been useful in streamlining the process of conducting this complex meta-analysis and enhancing communication and sharing documents among research team members.</p>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">101141667</journal-id>
<journal-id journal-id-type="pubmed-jr-id">27068</journal-id>
<journal-id journal-id-type="nlm-ta">Comput Inform Nurs</journal-id>
<journal-id journal-id-type="iso-abbrev">Comput Inform Nurs</journal-id>
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<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Managing complex research datasets using electronic tools: A meta-analysis exemplar</article-title>
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<contrib-group><contrib contrib-type="author"><name><surname>Brown</surname>
<given-names>Sharon A.</given-names>
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<degrees>PhD, RN, FAAN</degrees>
<role>Joseph H. Blades Centennial Memorial Professor in Nursing</role>
<aff id="A1">School of Nursing The University of Texas at Austin</aff>
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<contrib contrib-type="author"><name><surname>Martin</surname>
<given-names>Ellen E.</given-names>
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<degrees>RN, MSN</degrees>
<role>Doctoral Student</role>
<aff id="A2">School of Nursing The University of Texas at Austin</aff>
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<contrib contrib-type="author"><name><surname>Garcia</surname>
<given-names>Theresa J.</given-names>
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<degrees>RN, BSN</degrees>
<role>Doctoral Candidate</role>
<aff id="A3">School of Nursing The University of Texas at Austin</aff>
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<contrib contrib-type="author"><name><surname>Winter</surname>
<given-names>Mary A.</given-names>
</name>
<degrees>RN, MSN</degrees>
<role>Research Associate</role>
<aff id="A4">School of Nursing The University of Texas at Austin</aff>
</contrib>
<contrib contrib-type="author"><name><surname>García</surname>
<given-names>Alexandra A.</given-names>
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<degrees>PhD, RN</degrees>
<role>Associate Professor</role>
<aff id="A5">School of Nursing The University of Texas at Austin</aff>
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<contrib contrib-type="author"><name><surname>Brown</surname>
<given-names>Adama</given-names>
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<degrees>PhD</degrees>
<role>Research Scientist</role>
<aff id="A6">School of Nursing The University of Texas at Austin</aff>
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<contrib contrib-type="author"><name><surname>Cuevas</surname>
<given-names>Heather E.</given-names>
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<degrees>RN, MSN, CDE</degrees>
<role>Doctoral Candidate</role>
<aff id="A7">School of Nursing The University of Texas at Austin</aff>
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<contrib contrib-type="author"><name><surname>Sumlin</surname>
<given-names>Lisa L.</given-names>
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<degrees>RN, MSN</degrees>
<role>Doctoral Student</role>
<aff id="A8">School of Nursing The University of Texas at Austin</aff>
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<author-notes><corresp id="CR1"><bold>Corresponding Author</bold>
: Sharon A. Brown, PhD, RN, FAAN The University of Texas at Austin School of Nursing 1710 Red River Street Austin, TX 78701 Phone: (512) 232-4704 Fax: (512) 232-6239 <email>sabrown@mail.utexas.edu</email>
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<pub-date pub-type="nihms-submitted"><day>26</day>
<month>6</month>
<year>2013</year>
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<pub-date pub-type="ppub"><month>6</month>
<year>2013</year>
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<pub-date pub-type="pmc-release"><day>01</day>
<month>6</month>
<year>2014</year>
</pub-date>
<volume>31</volume>
<issue>6</issue>
<fpage>257</fpage>
<lpage>265</lpage>
<abstract><p id="P1">Meta-analyses of broad scope and complexity require investigators to organize many study documents and manage communication among several research staff. Commercially available electronic tools, e.g., EndNote, Adobe Acrobat Pro, Blackboard, Excel, and IBM SPSS Statistics (SPSS), are useful for organizing and tracking the meta-analytic process, as well as enhancing communication among research team members. The purpose of this paper is to describe the electronic processes we designed, using commercially available software, for an extensive quantitative model-testing meta-analysis we are conducting. Specific electronic tools improved the efficiency of (a) locating and screening studies, (b) screening and organizing studies and other project documents, (c) extracting data from primary studies, (d) checking data accuracy and analyses, and (e) communication among team members. The major limitation in designing and implementing a fully electronic system for meta-analysis was the requisite upfront time to: decide on which electronic tools to use, determine how these tools would be employed, develop clear guidelines for their use, and train members of the research team. The electronic process described here has been useful in streamlining the process of conducting this complex meta-analysis and enhancing communication and sharing documents among research team members.</p>
</abstract>
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<funding-group><award-group><funding-source country="United States">National Institute of Nursing Research : NINR</funding-source>
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<name sortKey="Garcia, Alexandra A" sort="Garcia, Alexandra A" uniqKey="Garcia A" first="Alexandra A." last="García">Alexandra A. García</name>
<name sortKey="Garcia, Theresa J" sort="Garcia, Theresa J" uniqKey="Garcia T" first="Theresa J." last="Garcia">Theresa J. Garcia</name>
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