TY - JOUR
T1 - Visualization of Multidimensional Data in Nursing Science
AU - Docherty, Sharron L.
AU - Vorderstrasse, Allison
AU - Brandon, Debra
AU - Johnson, Constance
N1 - Publisher Copyright:
© 2016, © The Author(s) 2016.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Nursing scientists have long been interested in complex, context-dependent questions addressing individual- and population-level challenges in health and illness. These critical questions require multilevel data (e.g., genetic, physiologic, biologic, behavioral, affective, and social). Advances in data-gathering methods have resulted in the collection of large sets of complex, multifaceted, and often non-comparable data. Scientific visualization is a powerful methodological tool for facilitating understanding of these multidimensional data sets. Our purpose is to demonstrate the utility of scientific visualization as a method for identifying associations, patterns, and trends in multidimensional data as exemplified in two studies. We describe a brief history of visual analysis, processes involved in scientific visualization, and opportunities and challenges in the use of visualization methods. Scientific visualization can play a crucial role in helping nurse scientists make sense of the structure and underlying patterns in their data to answer vital questions in the field.
AB - Nursing scientists have long been interested in complex, context-dependent questions addressing individual- and population-level challenges in health and illness. These critical questions require multilevel data (e.g., genetic, physiologic, biologic, behavioral, affective, and social). Advances in data-gathering methods have resulted in the collection of large sets of complex, multifaceted, and often non-comparable data. Scientific visualization is a powerful methodological tool for facilitating understanding of these multidimensional data sets. Our purpose is to demonstrate the utility of scientific visualization as a method for identifying associations, patterns, and trends in multidimensional data as exemplified in two studies. We describe a brief history of visual analysis, processes involved in scientific visualization, and opportunities and challenges in the use of visualization methods. Scientific visualization can play a crucial role in helping nurse scientists make sense of the structure and underlying patterns in their data to answer vital questions in the field.
KW - Big Data
KW - data analysis
KW - data integration
KW - data science
KW - multidimensional data
KW - visualization
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U2 - 10.1177/0193945916672448
DO - 10.1177/0193945916672448
M3 - Article
C2 - 27756850
AN - SCOPUS:85006512056
SN - 0193-9459
VL - 39
SP - 112
EP - 126
JO - Western Journal of Nursing Research
JF - Western Journal of Nursing Research
IS - 1
ER -