Symptom Science Research in the Era of Big Data: Leveraging Interdisciplinary Resources and Partners to Make It Happen.
Symptom Science Research in the Era of Big Data: Leveraging Interdisciplinary Resources and Partners to Make It Happen.
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大数据时代的症状科学研究：利用跨学科资源和合作伙伴实现这一目标。
DOI：
10.1111/jnu.12446
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Dunlop,AnneL
中科院分区：
文献类型：
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作者：
Corwin,ElizabethJ;Jones,DeanP;Dunlop,AnneL
本文的目的是回顾团队科学的概念，以及它的好处和挑战，在包括新的认识方法如何促进护理科学的框架内。设计一个范例突出了一个护理学院的研究人员随着他们越来越多地参与到团队科学中来所使用的经验和策略。方法呈现了随着团队科学成为常态而发生的步骤和过程，扩展到包括相互关联的研究人员的网络。结论尽管开展团队科学存在挑战，反思团队科学如何适应卡珀的认知模式的理论框架，突出了它推动护理研究向前发展的潜力。临床关系领导或参与团队科学可以扩展护理科学家开展对患者和家庭有意义的研究的镜头。
PurposeThe 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.DesignAn exemplar highlights the experiences and strategies utilized by researchers at one school of nursing as they increasingly became involved in team science.MethodsPresented are the steps and processes that occurred as team science became the norm, expanding to include a network of linked investigators.ConclusionsAlthough 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 RelevanceLeading or participating in team science can expand the lens by which nursing scientists conduct research that is meaningful to patients and families.