Proposal Title

Data Management (or how I learned to love my data): Reaching Graduate Students through a Responsible Conduct of Research Program

Start Date

17-3-2020 10:30 AM

End Date

17-3-2020 11:30 AM

Author(s) Bio

Sophia Lafferty-Hess obtained an M.S. in Information Science and a Master of Public Administration from the University of North Carolina (UNC) at Chapel Hill. Sophia currently works at Duke University as a Senior Research Data Management Consultant where she provides data management and sharing instruction and guidance. Prior to joining Duke, Sophia worked at the UNC Odum Institute for Research in Social Science Data Archive where she curated digital research data and contributed to numerous projects to develop data management educational resources. Ciara Healy is a graduate of the iSchool at the University of Illinois and is employed as the librarian for psychology, neuroscience, mathematics and physics at Duke University. She works in the Research and Instructional Services department as a subject liaison and is an instructional designer. I have had a varied library career, working mostly at public universities and community college libraries in the Midwest and in the South. She has worked as a cataloger, a school library media specialist (uncertified), a media librarian and an instruction librarian, to name a few. Next up, considering living and working abroad.

Keywords

data management, data sharing, cross-disciplinary

Presentation Type

30 minutes (e.g. Individual)

Description of Proposal

At Duke University there is a requirement for all graduate students to take a number of credits in courses called Responsible Conduct of Research (RCR). While faculty and staff members can be approved to teach these two hour workshops, librarians at Duke have in the last few years proposed several that cross disciplinary boundaries, such as the workshop on retractions in the science and social scientific literature as well as more discipline focused, such as Scholarly Publishing in East Asian Studies.

For our presentation we would like to focus on developing, delivering and evolving the RCR courses on data management. These workshops focus on educating graduate students on best practices on pre-project planning, active workflow design and organization, storage and backup strategies, publishing data via repositories, preparing data for sharing, and strategies for integrating reproducible research practices.

We have taken an iterative approach to the development of these workshops over the past three years. While these workshops began being targeted on high-level topics, our Data Management 101 courses have evolved to become more inclusive of cross-disciplinary data, such as images, textual corpuses and social science data inclusive of mixed methodological data. Our presentation at the conference will trace the life cycle of changes across the early and present versions of these RCR courses and preview upcoming changes to the elements of the course.

What takeaways will attendees learn from your session?

  • Introduce Duke University Libraries’ strategy for teaching data management approaches to graduate students through the Responsible Conduct of Research Program
  • Discuss the role of librarians in teaching data management skills including data description, openness in scientific inquiry, and reproducible results as a scientific and social scientific goal
  • Describe the iterative, collaborative, and interdisciplinary approach employed to develop the program
  • Share pedagogical strategies around teaching data management competency

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Mar 17th, 10:30 AM Mar 17th, 11:30 AM

Data Management (or how I learned to love my data): Reaching Graduate Students through a Responsible Conduct of Research Program

At Duke University there is a requirement for all graduate students to take a number of credits in courses called Responsible Conduct of Research (RCR). While faculty and staff members can be approved to teach these two hour workshops, librarians at Duke have in the last few years proposed several that cross disciplinary boundaries, such as the workshop on retractions in the science and social scientific literature as well as more discipline focused, such as Scholarly Publishing in East Asian Studies.

For our presentation we would like to focus on developing, delivering and evolving the RCR courses on data management. These workshops focus on educating graduate students on best practices on pre-project planning, active workflow design and organization, storage and backup strategies, publishing data via repositories, preparing data for sharing, and strategies for integrating reproducible research practices.

We have taken an iterative approach to the development of these workshops over the past three years. While these workshops began being targeted on high-level topics, our Data Management 101 courses have evolved to become more inclusive of cross-disciplinary data, such as images, textual corpuses and social science data inclusive of mixed methodological data. Our presentation at the conference will trace the life cycle of changes across the early and present versions of these RCR courses and preview upcoming changes to the elements of the course.