Data Literacy Information | North Carolina Central University
D’Ignazio, C., & Bhargava, R. (2016). DataBasic: Design principles, tools and activities for data literacy learners. The Journal of Community Informatics, 12(3), 83–107. https://doi.org/10.15353/joci.v12i3.3278
A growing number of tools for data novices are not designed with the goal of learning in mind. This paper proposes a set of pedagogical design principles for tool development to support data literacy learners. We document their use in the creation of three digital tools and activities that help learners build data literacy, showing design decisions driven by our pedagogy. Sketches students created during the activities reflect their adeptness with key data literacy skills. Based on early results, we suggest that tool designers and educators should orient their work from the outset around strong pedagogical principles.
Carlson, Jake R.; Fosmire, Michael; Miller, Chris; and Sapp Nelson, Megan R., "Determining Data Information Literacy Needs: A Study of Students and Research Faculty" (2011). Libraries Faculty and Staff Scholarship and Research. Paper 23.
https://docs.lib.purdue.edu/lib_fsdocs/23
Researchers increasingly need to integrate the disposition, management and curation of their data into their current workflows. However, it is not yet clear to what extent faculty and students are sufficiently prepared to take on these responsibilities. This paper articulates the need for a data information literacy program (DIL) to prepare students to engage in such an “e-research” environment. Assessments of faculty interviews and student performance in a geoinformatics course provide complementary sources of information, which are then filtered through the perspective of ACRL’s information literacy competency standards to produce a draft set of outcomes for a data information literacy program.