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

被引:10
|
作者
Gephart, Sheila M. [1 ]
Davis, Mary [1 ]
Shea, Kimberly [1 ]
机构
[1] Univ Arizona, Coll Nursing, Tucson, AZ 85721 USA
基金
美国医疗保健研究与质量局;
关键词
big data; data science; nursing science; nursing standards; policy;
D O I
10.1177/0894318417741122
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
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.
引用
收藏
页码:78 / 81
页数:4
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