Research Support Services Staff Publications
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Browsing Research Support Services Staff Publications by Subject "data management"
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Item Partnerships in a Data Management Village: Exploring how research and library services can work together(2015) Hofelich Mohr, Alicia; Lindsay, Thomas; Johnston, Lisa RProviding data management services is a task that takes a village; a distributed model of support, involving collaboration among diverse institutional offices, is needed to do it well. Researchers especially benefit when specialized institutional support offices are aware of other relevant providers and the impact their services have on the management of data across the research life cycle. However, once a village is assembled, how do we work with members to be committed collaborators, rather than a passive referral network? In this presentation, we will describe a case study of our in-depth collaboration between the University Libraries and the College of Liberal Arts (CLA) at the University of Minnesota. Both groups are developing new suites of data management services to meet evolving researcher needs and rising demands for data management support. Working together has provided many advantages for sharing resources and knowledge, but also has presented challenges, including how to define the respective roles of college-level and university-wide data management services, and how formalized collaborations may work. We will describe these challenges and how the collective and complementary skills of our offices will provide researchers with support across much larger portions of the research life cycle than either office could provide alone.Item Understanding Researcher Needs in Data Management: A Comparison of Four Colleges in a Large American University(2015) Hofelich Mohr, Alicia; Braun, Steven; Bishoff, Carolyn; Bishoff, Josh; Johnston, Lisa RThe diverse nature of research makes identifying needs and providing support for data management a complex task in an academic setting. To better understand this diversity, we compare the findings from three surveys on research data management delivered to faculty across 104 departments in the University of Minnesota - Twin Cities campus. Each survey was separately run in the Medical School, the College of Liberal Arts, the College of Food, Agricultural, and Natural Resource Sciences and the College of Science & Engineering and modified to use language that paralleled the different cultural understandings of research and data across these disciplines. Our findings reveal common points of need, such as a desire for more data management support across the research life cycle, with the strongest needs related to preparing data for sharing, data preservation, and data dissemination. However, the results also reveal striking differences across the disciplines in attitudes and perceptions toward data management, awareness of existing requirements, and community expectations. These survey results can be used by others to demonstrate that a one-size-fits-all approach to supporting data management is not appropriate for a large research university and that the services developed should be sensitive to discipline-specific research practices and perceived needs.