Research Support Services Staff Publications
Persistent link for this collection
Browse
Browsing Research Support Services Staff Publications by Type "Presentation"
Now showing 1 - 4 of 4
Results Per Page
Sort Options
Item Call me maybe? It's not crazy! Data collection offices are a good partner in data management(2015) Sell, Andrew; Hofelich Mohr, AliciaFor data management professionals, attention is largely focused on the beginning and ends of the research process, as many researchers are worried about meeting federal requirements for data management plans (DMPs) and are looking for ways to share and archive their data. As a University office specializing in survey and experimental data collection, we have seen how the "middle" steps of data collection and analysis can be influenced by, and be an influence on, these upstream and downstream data management processes. In this Pecha Kucha, we will present relevant data management lessons we have learned from designing, developing, and hosting data collection tools. Challenges of anonymity and paying participants, quirks of statistical files produced by data collection tools, and transparency in the research process are among some of the issues we will discuss. As many of these challenges directly impact later sharing and curation of the data collected, we emphasize that data collection offices can be important partners in data management efforts.Item Ethical and Practical Considerations of Open Data Sharing when Conducting Research with Human Participants(2019-03) Bakker, Caitlin; Hunt, Shanda; Hofelich Mohr, AliciaThe Libraries and LATIS will present on the conflicts that can arise when attempting to balance the protection of participant privacy with expectations for open data. Restrictive language in IRB protocols, consent forms, and participant agreements designed to protect privacy can limit researchers when sharing, storing, or archiving the resulting data. Ethically, what is the appropriate course of actionItem Recruitment, Participation, and Sampling: Researchers’ Results in General Practice(2011-06-01) Lindsay, Thomas; Sell, AndrewWhile large-scale projects have the resources to ensure best practice, most social science researchers face compromises relating to cost, time, and availability of respondents. We worked with researchers to experimentally test specific approaches to sampling and recruitment. We discuss the results of these tests within the framework of theoretical best practices and expectations.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.