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Symptom Science Research in the Era of Big Data: Leveraging Interdisciplinary Resources and Partners to Make It Happen
Author(s) -
Corwin Elizabeth J.,
Jones Dean P.,
Dunlop Anne L.
Publication year - 2019
Publication title -
journal of nursing scholarship
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.009
H-Index - 80
eISSN - 1547-5069
pISSN - 1527-6546
DOI - 10.1111/jnu.12446
Subject(s) - relevance (law) , nursing science , big data , norm (philosophy) , engineering ethics , psychology , nursing research , medicine , computer science , nursing , political science , engineering , operating system , law
Purpose The purpose of this article is to review the concept of team science as well as its benefits and challenges, within the framework of how including new ways of knowing can advance nursing science. Design An exemplar highlights the experiences and strategies utilized by researchers at one school of nursing as they increasingly became involved in team science. Methods Presented are the steps and processes that occurred as team science became the norm, expanding to include a network of linked investigators. Conclusions Although challenges to conducting team science exist, a reflection on how team science fits into the theoretical framework of Carper's Patterns of Knowing highlights its potential to drive nursing research forward. Clinical Relevance Leading or participating in team science can expand the lens by which nursing scientists conduct research that is meaningful to patients and families.