Perspectives on Policy and the Value of Nursing Science in a Big Data Era

Sheila M. Gephart, Mary Davis, Kimberly Shea

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

As data volume explodes, nurse scientists grapple with ways to adapt to the big data movement without jeopardizing its epistemic values and theoretical focus that celebrate while acknowledging the authority and unity of its body of knowledge. In this article, the authors describe big data and emphasize ways that nursing science brings value to its study. Collective nursing voices that call for more nursing engagement in the big data era are answered with ways to adapt and integrate theoretical and domain expertise from nursing into data science.

Original languageEnglish (US)
Pages (from-to)78-81
Number of pages4
JournalNursing science quarterly
Volume31
Issue number1
DOIs
StatePublished - Jan 1 2018

Keywords

  • big data
  • data science
  • nursing science
  • nursing standards
  • policy

ASJC Scopus subject areas

  • General Nursing

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