Article Title
Article Type
Full-Length Paper
Publication Date
2016-04-22
DOI
10.7191/jeslib.2016.1090
Abstract
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.
Keywords
needs assessment, clinical and translational science, service development
Repository Citation
Norton HF, Tennant MR, Botero C, Garcia-Milian R. Assessment of and Response to Data Needs of Clinical and Translational Science Researchers and Beyond. Journal of eScience Librarianship 2016;5(1): e1090. https://doi.org/10.7191/jeslib.2016.1090. Retrieved from https://escholarship.umassmed.edu/jeslib/vol5/iss1/2
Rights and Permissions
Copyright © 2016 The Author(s).
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Figure 1: Types of data generated
Figure2_1090.tif (719 kB)
Figure 2: How data is stored
Figure3_1090.tif (961 kB)
Figure 3: How long data should be stored
Figure4_1090.tif (18306 kB)
Figure 4: How data is shared or planned to be shared
Figure5_1090.tif (18601 kB)
Figure 5: Resources outside of the department needed to best manage and analyze data
Appendix1_1090.pdf (684 kB)
Appendix 1: University of Florida Health Science Center Library Data Survey
Appendix2_1090.pdf (694 kB)
Appendix 2: UF Health Science Center Library Data Interview Questions – Modified from University of Virginia
