Mother lodes and mining tools: Big data for nursing science

Nursing Research

Volumn 63, Issue 3, 2014, Pages 155-

  Henly, Susan J ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; EDITORIAL; NURSING INFORMATICS; NURSING RESEARCH;

DATA MINING; NURSING INFORMATICS; NURSING RESEARCH;

EID: 84900297344     PISSN: 00296562     EISSN: 15389847     Source Type: Journal    
DOI: 10.1097/NNR.0000000000000041     Document Type: Editorial

References (4)

1. Broome, M. (2014, March). Back to the future: Redeveloping our science in resource challenged environments. Paper presented at the Annual Meeting of the Midwest Nursing Research Society, St. Louis, MO.
2. Hey, T., Tansley, S., & Tolle, K. (Eds.). (2009). Jim Gray on eScience: A transformed scientific method. In The fourth paradigm: Data-intensive scientific discovery (pp. xvii-xxxi), Redmond, WA: Microsoft Research.
3. Lazer, D., Kennedy, R., King, G., & Vespignani, A. (2014). The parable of Google Flu: Traps in big data analysis. Science, 343, 1203-1205.
4. Lyon, D. E., Starkweather, A. R., Montpetit, A., Menzies, V., & Jallo, N. (2014). A biobehavioral perspective on telomere length and the exposome. Biological Research for Nursing. Advance on-line publication. Retrieved from http://brn.sagepub.com/content/early/2014/03/03/1099800414522689. abstract. DOI: 10.1177/1099800414522689.