Scaffolding for data management skills: From undergraduate education through postgraduate training and beyond

Listed in Datasets

By Megan Sapp Nelson

Purdue University

This document contains an matrix of existing competencies expanded to 36 competencies, a scaffolding that moves students progressively from undergraduate training to post graduate coursework and research to post-doctoral work.

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Version 1.0 - published on 21 Jul 2016 doi:10.4231/R7QJ7F9R - cite this Archived on 25 Oct 2016

Licensed under Attribution-NonCommercial-ShareAlike 3.0 Unported


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 document contains an evolution in existing competencies. It identifies a scaffolding built upon existing competencies that moves students progressively from the personal domain of data management through team data management to the research enterprise level of data management. 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 document, 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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Version 3.0 July 20, 2016. 

This version has one additional competency, significant reworking of existing competencies, and edits for grammar and ease of use. 

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