A model to evaluate data science in nursing doctoral curricula

Shea, Kimberly; Brewer, Barbara B.; Carrington, Jane M.; Davis, Mary; Gephart, Sheila M.; Rosenfeld, Anne G.

doi:10.1016/j.outlook.2018.10.007

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Nevertheless, cross-training to allow the interdisciplinary team members to speak the same language when defining and troubleshooting analysis challenges improves communication and productivity, and nurse scientists are increasingly seeking formal training in data science or bioinformatics in addition to graduate-level research training. Guidelines have been developed to guide infusion of data science into doctoral education for nurse scientists including the Data Science Curriculum Organizing Model introduced by Shea et al 45 Nurses and nurse scientists are well poised to synthesize the multimodal data that come from studying the role of…”

Section: Nursing Contribution and Impactmentioning

confidence: 99%

A Comparison of Hypothesis-Driven and Data-Driven Research

Dreisbach

Maki

2023

CIN: Computers, Informatics, Nursing

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Data science, bioinformatics, and machine learning are the advent and progression of the fourth paradigm of exploratory science. The need for human-supported algorithms to capture patterns in big data is at the center of personalized healthcare and directly related to translational research. This paper argues that hypothesis-driven and data-driven research work together to inform the research process. At the core of these approaches are theoretical underpinnings that drive progress in the field. Here, we present several exemplars of research on the gut-brain axis that outline the innate values and challenges of these approaches. As nurses are trained to integrate multiple body systems to inform holistic human health promotion and disease prevention, nurses and nurse scientists serve an important role as mediators between this advancing technology and the patients. At the center of person-knowing, nurses need to be aware of the data revolution and use their unique skills to supplement the data science cycle from data to knowledge to insight.

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Section: Nursing Contribution and Impactmentioning

confidence: 99%

A Comparison of Hypothesis-Driven and Data-Driven Research

Dreisbach

Maki

2023

CIN: Computers, Informatics, Nursing

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“…Developing academic skills is needed, such as writing literature and systematic reviews, learning a new scientifi c language, communication skills, and oral presentations skills, emphasizing good writing skills. In publications, special attention was paid to building research capacity in nursing and the complexity of education for clinical researchers [15,[22][23][24][25][26][27][28][29].…”

Section: Nursing Research Educationmentioning

confidence: 99%

Development of Nursing Research–Directions and Best Practices in the USA and Europe: A Narrative Review

Saleva

Aleksandrova-Yankulovska

2022

Journal of Biomedical and Clinical Research

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Summary Nursing research is a relatively new area of professional development that began firstly in the USA and made significant progress during the second half of the 19th century. Nursing research has made significant progress in European countries, mainly developed countries. This article aimed to review publications describing the evolution of nursing research, the directions of development, and best practices in the USA and Europe. Different databases were searched according to selected criteria, and a narrative literature review was conducted. Forty-two articles from the USA and Europe were identified and included as the most appropriate in the analysis, published in 22 journals. During the analysis, five basic directions of developing nursing research were identified - nursing research education, organizational structures for nursing research and collaboration with clinical professionals, research dissemination and journals, trends and priorities, and funding nursing research. To increase research capacity and respond to the growing research culture and the requirements of the scientific community, nursing research education is needed at every educational level. Establishing organizational structures has proved the importance of supporting and encouraging nurses to participate in and conduct studies. Funding research in teams is more likely to occur at any organization or centеr than looking for funding sources from individuals. Encouraging nurses and midwives to conduct research in clinical practice and publish results from scientific studies will help achieve sustainable implementation of evidence-based practice.

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“…A key priority is to strengthen the educational curriculum so that nurse scientists have the needed data science skills and quantitative competencies to lead and contribute to these research teams (Shea et al, 2019). Other challenges associated with the use of big data, including the dentification and analysis of vast amounts of unstructured data, can prove too complex, expensive, and time-consuming to analyze (Westra et al, 2015).…”

Section: Data Sciencementioning

confidence: 99%

Research Agenda of the Oncology Nursing Society: 2019–2022

Ah¹,

Brown²,

Brown³

et al. 2019

ONF

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he Oncology Nursing Society (ONS) promotes excellence in oncology nursing and quality cancer care. In keeping with this mission, since 2001, ONS has developed and disseminated a Research Agenda identifying priority areas where new knowledge is urgently needed. The purpose of the Research Agenda is two-fold: it includes both the development and dissemination of contemporary research priorities needed to advance cancer care and delineates critical areas to be considered by research funders.A multimethod approach was used to develop the Research Agenda. ONS identified content experts to serve on the project team. This team was broken into smaller work groups to address various tasks that needed to be accomplished to update the Research Agenda. The first work group was convened to review the previous process used to formulate the prior ONS Research Agenda and discuss the best way to update the process in a scientifically rigorous yet time-and resource-efficient manner (Knobf et al., 2015). The previous process spanned multiple years and involved surveying ONS members, publishing survey results, and then convening an expert panel to update the Research Agenda based on survey responses. Given the low response rates (11%) and the lack of a clear set of focused research priorities that emerged from analysis of the survey results, an alternative approach was discussed to actively engage ONS members with expertise in research together with other key stakeholders to yield a focused set of research priorities (LoBiondo-Wood et al., 2014).A condensed process was recommended by the work group to identify a focused set of contemporary

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A model to evaluate data science in nursing doctoral curricula

Cited by 8 publications

References 5 publications

A Comparison of Hypothesis-Driven and Data-Driven Research

A Comparison of Hypothesis-Driven and Data-Driven Research

Development of Nursing Research–Directions and Best Practices in the USA and Europe: A Narrative Review

Research Agenda of the Oncology Nursing Society: 2019–2022

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