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A survey of current practices in data management education in nursing doctoral programs
Rebecca Raszewski1, Abigail H Goben1, Martha Dewey Bergren2
1Library of the Health Sciences Chicago, University of Illinois at Chicago, 1750 West Polk Street (MC 763), Chicago, IL 60612, United States.
Nursing doctoral programs lack consistent data management education. Most programs teach data management through mentoring or single lectures, with student project data often not preserved, highlighting a need for curriculum development.
Area of Science:
- Nursing Education
- Data Management
Background:
- Systematic examination of data management instruction in nursing doctoral curricula is lacking.
- Current data management education in nursing doctoral programs is not well-defined.
Purpose of the Study:
- To assess the extent of data management education in nursing doctoral programs.
- To identify current practices in teaching data management to doctoral nursing students.
Main Methods:
- Surveys were distributed to directors of Doctor of Nursing Practice (DNP) and PhD nursing programs.
- Survey questions were structured around the UK Data Service Research Data Lifecycle stages.
Main Results:
- A 22% response rate was achieved from 104 nursing doctoral program directors (67% DNP, 35% PhD).
- Data management education is primarily delivered via individual mentoring or single lectures.
- Student project data preservation is not consistently practiced across programs.
Conclusions:
- Nursing doctoral programs require standardized data management education.
- Enhancing awareness of data policies is crucial for nursing doctoral programs.
- Clarification of student project data sharing and ownership is needed.
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