| Literature DB >> 29235962 |
Sheila M Gephart1, Mary Davis1, Kimberly Shea1.
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.Keywords: big data; data science; nursing science; nursing standards; policy
Mesh:
Year: 2018 PMID: 29235962 DOI: 10.1177/0894318417741122
Source DB: PubMed Journal: Nurs Sci Q ISSN: 0894-3184 Impact factor: 0.883