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A Survey of Current Practices in Data Management Education in Nursing Doctoral Programs

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Version 3 2021-04-07, 20:29
Version 2 2020-06-22, 00:15
Version 1 2020-06-18, 00:53
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posted on 2021-04-07, 20:29 authored by Rebecca RaszewskiRebecca Raszewski, Abigail GobenAbigail Goben, Martha Dewey Bergren, Krista Jones, Catherine Ryan, Alana Steffen, Susan Catherine. Vonderheid
Background: The inclusion of data management instruction within nursing doctoral curricula has not been systematically examined.
Purpose: The purpose of this study is
to determine the extent of data management education within nursing doctoral programs.
Method: Separate surveys were created for DNP (332) and PhD (138) program directors. Survey questions were based on the stages of the UK Data Service Research Data Lifecycle.
Results: One hundred and four nursing doctoral program
directors responded, a 22% response rate. Sixty-seven (64%) were from DNP programs while 37 (35%) were from PhD programs. Although program directors reported that they were teaching stages of the research data lifecycle, data management is mostly being taught through individual mentoring or a single lecture within a required course, and that students’ project data were not being preserved. Conclusions: Nursing doctoral programs need to develop consistent data management education, build an awareness
of data policies, and clarify student project data sharing and ownership.

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Citation

R. Raszewski, A.H. Goben, M.D. Bergren, et al., A survey ofcurrent practices in data management education in nursing doctoral programs, Journal of Professional Nursing (2021),37(1): 55-162 https://doi.org/10.1016/j.profnurs.2020.06.003

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  • en_US

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    Keywords

    data management, data lifecycle, nursing doctoral educationMedicine, Nursing and Health Curriculum and PedagogyLibrary and Information Studies

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    CC BY-ND 4.0

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