Big data, data science, and big contributions

Nursing Outlook

Volumn 64, Issue 2, 2016, Pages 113-114

  Broome, Marion E ^a  

^a DUKE UNIVERSITY HEALTH SYSTEM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN; INFORMATION PROCESSING; NURSING INFORMATICS; TRANSLATIONAL RESEARCH;

DATASETS AS TOPIC; HUMANS; NURSING INFORMATICS; TRANSLATIONAL MEDICAL RESEARCH;

EID: 84960093276     PISSN: 00296554     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.outlook.2016.02.001     Document Type: Editorial

References (4)

1. Brennan P., Bakken S. Nursing needs big data and big data needs nursing. Journal of Nursing Scholarship 2015, 47(5):477-484.
2. Clancy T., Bowles K., Gelinas L., Androvitch I., Delaney C., Matney S., Westra B. A call to action: Engage in big data science. Nursing Outlook 2013, 62(1):62-64.
3. National Institutes of Health. (2016). Retrived from . http://dtasciences.nih.gov/bd2k/about/what.
4. Westra B., Bliss D., Savik K., Hou Y., Borchert A. Effectiveness of wound, ostomy, and continence nurses on agency level wound and incontinence outcomes in home health care. Journal of Wound, Ostomy, and Continence Nursing 2013, 40:135-142.