Mapping clinical phenotype data elements to standardized metadata repositories and controlled terminologies: The eMERGE Network experience Academic Article uri icon

Overview

MeSH Major

  • Data Mining
  • Database Management Systems
  • Databases, Genetic
  • Electronic Health Records
  • Vocabulary, Controlled

abstract

  • This study emphasizes the requirement for standardized representation of clinical research data using existing metadata and terminology resources and provides simple techniques and software for data element mapping using experiences from the eMERGE Network.

publication date

  • July 2011

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC3128396

Digital Object Identifier (DOI)

  • 10.1136/amiajnl-2010-000061

PubMed ID

  • 21597104

Additional Document Info

start page

  • 376

end page

  • 86

volume

  • 18

number

  • 4