Abstract

Educating researchers in sound data management skills is a hot topic in today’s data intensive research world. Librarians across the country and the world are taking the lead in offering this training to their campus research communities. In Fall, 2013, the Data Curation Librarian at the University of Tennessee, Knoxville, held a one-day “Data Management Basics” Workshop geared towards graduate students in engineering and science disciplines based on the New England Collaborative Data Management Curriculum. Students were asked to complete a pre-workshop survey and a series of seven post-module surveys throughout the day. This article discusses the results of the survey feedback, the planning process, and elaborates on important variables in planning data management training initiatives, such as disciplinary adjustments and time constraints. The article concludes with a discussion of the author’s future plans for providing training initiatives based on the feedback he received.

Highlights

  • How confident are you in your ability to manage data well during a research project?

  • How well did this module help you to understand that data should be managed differently in different phases of the life cycle?

  • How well did this module familiarize you with data management plan (DMP) requirements used to characterize and plan for the life cycle of research data?

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Summary

How well did this module prepare you to explain what research data is?

How well did this module prepare you to explain the need for managing/sharing research data and identify relevant public policies?. How well did this module prepare you to explain the life cycle continuum to manage and preserve research data?. How well did this module help you to understand that data should be managed differently in different phases of the life cycle?. How well did this module familiarize you with data management plan (DMP) requirements used to characterize and plan for the life cycle of research data?. How well did this module prepare you to identify the value and relative importance of data management to the success of a research project?. 7. How well did the objectives of this module meet your expectations for what you need to learn regarding data management?

How appropriate was the length of the module to cover the content offered?
How well did this module prepare you to identify stages of research data?
How well did this module help you to understand why metadata is important?
10. How appropriate was the length of the module to cover the content offered?
How well did this module prepare you to explain the benefits of sharing data?
11. How appropriate was the length of the module to cover the content offered?
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