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Using A Standardized Nomenclature to Semantically Map Oncology-Related Concepts from Common Data Models to a Pediatric Cancer Data Model.
Carlson, Bradley; Watkins, Michael; Li, Mei; Furner, Brian; Cohen, Ellen; Volchenboum, Samuel L.
Afiliação
  • Carlson B; Department of Pediatrics, University of Chicago, Chicago, IL.
  • Watkins M; Department of Pediatrics, University of Chicago, Chicago, IL.
  • Li M; Department of Pediatrics, University of Chicago, Chicago, IL.
  • Furner B; Department of Pediatrics, University of Chicago, Chicago, IL.
  • Cohen E; Department of Pediatrics, University of Chicago, Chicago, IL.
  • Volchenboum SL; Department of Pediatrics, University of Chicago, Chicago, IL.
AMIA Annu Symp Proc ; 2023: 874-883, 2023.
Article em En | MEDLINE | ID: mdl-38222364
ABSTRACT
The Pediatric Cancer Data Commons (PCDC) comprises an international community whose ironclad commitment to data sharing is combatting pediatric cancer in an unprecedented way. The byproduct of their data sharing efforts is a gold-standard consensus data model covering many types of pediatric cancer. This article describes an effort to utilize SSSOM, an emerging specification for semantically-rich data mappings, to provide a "hub and spoke" model of mappings from several common data models (CDMs) to the PCDC data model. This provides important contributions to the research community, including 1) a clear view of the current coverage of these CDMs in the domain of pediatric oncology, and 2) a demonstration of creating standardized mappings. These mappings can allow downstream crosswalk for data transformation and enhance data sharing. This can guide those who currently create and maintain brittle ad hoc data mappings in order to utilize the growing volume of viable research data.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Limite: Child / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article