Research Management Team (RMT): A Model for Research Support -Services at Duke University

Denise C. Snyder, Shelly Epps, Henry F. Beresford, Cory Ennis, Justin S. Levens, Stephen K. Woody, James E. Tcheng, Mark A. Stacy, Meredith Nahm

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Collecting and managing data for clinical and translational research presents significant challenges for clinical and translational researchers, many of whom lack needed access to data management expertise, methods, and tools. At many institutions, funding constraints result in differential levels of research informatics support among investigators. In addition, the lack of widely shared models and ontologies for clinical research informatics and health information technology hampers the accurate assessment of investigators' needs and complicates the efficient allocation of crucial resources for research projects, ultimately affecting the quality and reliability of research. In this paper, we present a model for providing flexible, cost-efficient institutional support for clinical and translational research data management and informatics, the research management team, and describe our initial experiences with deploying this model at our institution.

Original languageEnglish (US)
Pages (from-to)464-469
Number of pages6
JournalClinical and translational science
Volume5
Issue number6
DOIs
StatePublished - Dec 2012

Keywords

  • Biostatistics
  • Clinical trials
  • Computers
  • Translational research

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Pharmacology, Toxicology and Pharmaceutics(all)

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