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A Proposed Scaffolding for Data Management Skills from Undergraduate Education through Post Graduate Training and Beyond

Presenter 1
Megan Sapp Nelson
Purdue University

Initial work in identifying data management or data information literacy skills went as far as identifying a list of proposed competencies without further differentiation between those competencies, whether by discipline, complexity, or use case. This presentation proposes an evolution in existing competencies by identifying a scaffolding built upon existing competencies that moves students progressively from undergraduate training through post graduate coursework and research to post-doctoral work and even into the early years of data stewardship. The scaffolding ties together existing research that has been completed in research data management skills and data information literacy with research into the outcomes that are desirable for individuals to present in data management at each of the levels of education. As a result of this presentation, competencies will be aligned according to application (personal, small group, large group) in such a way that the skills attained at the undergraduate level would give students moving on to graduate work greater familiarity with data management and therefore greater likelihood of success at the graduate and then post graduate and data steward levels.

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