Objective and Setting: As universities and libraries grapple with data management and “big data,” the need for data management solutions across disciplines is particularly relevant in clinical and translational science (CTS) research, which is designed to traverse disciplinary and institutional boundaries. At the University of Florida Health Science Center Library, a team of librarians undertook an assessment of the research data management needs of CTS researchers, including an online assessment and follow-up one-on-one interviews.
Design and Methods: The 20-question online assessment was distributed to all investigators affiliated with UF’s Clinical and Translational Science Institute (CTSI) and 59 investigators responded. Follow-up in-depth interviews were conducted with nine faculty and staff members.
Results: Results indicate that UF’s CTS researchers have diverse data management needs that are often specific to their discipline or current research project and span the data lifecycle. A common theme in responses was the need for consistent data management training, particularly for graduate students; this led to localized training within the Health Science Center and CTSI, as well as campus-wide training. Another campus-wide outcome was the creation of an action-oriented Data Management/Curation Task Force, led by the libraries and with participation from Research Computing and the Office of Research.
Conclusions: Initiating conversations with affected stakeholders and campus leadership about best practices in data management and implications for institutional policy shows the library’s proactive leadership and furthers our goal to provide concrete guidance to our users in this area.
needs assessment, clinical and translational science, service development
Norton, Hannah F., Michele R. Tennant, Cecilia Botero, and Rolando Garcia-Milian. 2016. "Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond." Journal of eScience Librarianship 5(1): e1090. http://dx.doi.org/10.7191/jeslib.2016.1090
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Figure 1: Types of data generated
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Figure 2: How data is stored
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Figure 3: How long data should be stored
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Figure 4: How data is shared or planned to be shared
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Figure 5: Resources outside of the department needed to best manage and analyze data
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Appendix 1: University of Florida Health Science Center Library Data Survey
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Appendix 2: UF Health Science Center Library Data Interview Questions – Modified from University of Virginia