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Proposed Data Literacy Competency Framework through Literature Analysis
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Type
Academic journal
Author
Hyo-suk Kang (Jeonbuk National University) Suntae Kim (Jeonbuk National University)
Journal
Research Institute for Knowledge Content Development & Technology International Journal of Knowledge Content Development & Technology Vol.14 No.3 KCI Accredited Journals
Published
2024.9
Pages
115 - 140 (26page)

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Result
Proposed Data Literacy Competency Framework through Literature Analysis
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Abstract· Keywords

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With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.
#Data Literacy #Data Literacy Competency #Data Literacy Framework #Literature Analysis #Research Data Management

Contents

ABSTRACT
1. Introduction
2. Data Literacy Competency Framework Comparative Analysis Criteria
3. Country-specific data literacy competency framework
4. Data literacy competency literature
5. Proposed Data Literacy Competency Framework
6. Conclusion
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