Big data science: A literature review of nursing research exemplars.

Background: Big data and cutting-edge analytic methods in nursing research challenge nurse scientists to extend the data sources and analytic methods used for discovering and translating knowledge.

Purpose: The purpose of this study was to identify, analyze, and synthesize exemplars of big data nursing research applied to practice and disseminated in key nursing informatics, general biomedical informatics, and nursing research journals.

Methods: A literature review of studies published between 2009 and 2015.

Mapping nursing concepts to ontologies for evidence-based nursing.

In this paper we describe a project to map natural language expressions of nursing-related concepts to standard ontologies in support of an evidence-based nursing initiative. Natural language concept expressions are identified from syntheses of nursing knowledge and mapped to ICNP and SNOMED-CT.