Browsing by Author "Braun, Steven"

Now showing 1 - 3 of 3
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    Data Management Needs Assessment - Surveys in CLA, AHC, CSE, and CFANS
    (2015) Hofelich Mohr, Alicia; Bishoff, Josh; Johnston, Lisa R; Braun, Steven; Storino, Christine; Bishoff, Carolyn
    Researcher's data management needs were assessed at four colleges with in the University of Minnesota: The College of Liberal Arts (CLA), the Academic Health Center (AHC), the College of Science and Engineering (CSE), and the College of Food, Agriculture, and Natural Resource Sciences (CFANS). The initial survey was designed in CLA and featured a branched design that presented researchers one of two versions of the questions based on how respondents described the products of their scholarship - as "data" or "research materials". The survey was then customized for the other colleges, adding or editing questions based on feedback from disciplinary experts, while maintaining comparability across surveys. Surveys were run between September 2013 and and February 2015.
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    Expanding Conventional Collection Boundaries Through Visualization
    (2014) Neeser, Amy; Schell, Justin; Braun, Steven; Lafferty, Meghan
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    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 R
    The 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.