Abstract
Initial work in identifying data management or data information literacy skills generally went as far as identifying a list of proposed competencies without further differentiation between those competencies, whether by discipline, complexity, or use case. This article describes a significant innovation upon 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 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. Competencies are aligned according to application (personal, team, research enterprise) in such a way that the skills attained at the undergraduate level 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.
Highlights
Appendix 1: Crosswalk of Five Data Literacy Competency Lists Grey cells indicate that that competency list had no competencies directly addressing that concept
They are numbered as they were by the original authors
The list is sorted against Carlson et al 2011, as it is the most comprehensive competency list when compared with the others
Summary
Appendix 1: Crosswalk of Five Data Literacy Competency Lists Grey cells indicate that that competency list had no competencies directly addressing that concept. They are numbered as they were by the original authors. The list is sorted against Carlson et al 2011, as it is the most comprehensive competency list when compared with the others
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