A Survey of Current Practices in Data Management Education in Nursing Doctoral Programs Rebecca Raszewski Abigail Goben Martha Dewey Bergren Krista Jones Catherine Ryan Alana Steffen Susan Catherine. Vonderheid 10.25417/uic.12501599.v2 https://indigo.uic.edu/articles/preprint/A_Survey_of_Current_Practices_in_Data_Management_Education_in_Nursing_Doctoral_Programs/12501599 Background: The inclusion of data management instruction within nursing doctoral curricula has not been systematically examined. <br>Purpose: The purpose of this study is<br>to determine the extent of data management education within nursing doctoral programs. <br><div>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. <br></div><div>Results: One hundred and four nursing doctoral program <br></div>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<br>of data policies, and clarify student project data sharing and ownership. 2020-06-22 00:15:50 data management, data lifecycle, nursing doctoral education Medicine, Nursing and Health Curriculum and Pedagogy Library and Information Studies