Policy mentions in data literacy research: A bibliometric analysis of 127 research papers

Abstract

Rationale of Study – This study examines the policy landscape surrounding data literacy, focusing on the intersection between data literacy and policy.
Methodology – A bibliometric analysis was conducted on 127 documents related to data literacy out of the 997 indexed in Scopus. Keywords, titles, and abstracts were analysed to identify the presence and focus of policy-related discussions. Network visualisations of keyword clusters were employed to explore the interdisciplinary nature of data literacy.
Findings – The study reveals a relatively low engagement with policy in data literacy research, with policy frequently mentioned in abstracts (111 occurrences) but rarely in titles or keywords. Keyword clusters showed two primary areas where policy considerations are crucial: education and governance. The findings also identified the need for differentiated policy approaches tailored to specific sectors like education, governance, and scientific research. The isolation of terms like "scientific data" suggests niche areas requiring targeted policy interventions.
Implications – The findings suggest that data literacy initiatives need a more explicit focus on policy frameworks, particularly in education and governance, to ensure ethical and responsible data use. The study calls for policymakers to embed governance, privacy, and ethics discussions within data literacy education and decision-making processes.
Originality – This study contributes to the underexplored area of policy integration in data literacy research. By highlighting the gap in policy considerations, the research underscores the need for a more holistic approach to data literacy, combining technical skills with governance, privacy, and ethical dimensions.