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Exploring bibliometric perspectives on data culture in scholarly discourse

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Exploring bibliometric perspectives on data culture in scholarly discourse

Data culture refers to an organization's prevailing attitudes, beliefs, behaviors, and practices concerning data and its utilization. It encompasses the organization's data collection, analysis, sharing, and decision-making approach. A robust data culture is achieved over time but requires a concerted effort by leadership and employees. This study overviews data culture, encompassing organizations' and institutions' attitudes, behaviors, and data-related practices. It highlights the study's exploration of data culture's dimensions and significance in driving innovation, informed decision-making, and competitiveness. The study mentions the relevance of theories like Schwartz's cultural values in understanding data culture's perception across diverse cultures. The study employed bibliometric analysis to assess data culture research trends and identify gaps. It emphasizes the need for interdisciplinary, global, and longitudinal studies to advance understanding in this field. This study is a comprehensive resource for researchers and practitioners interested in data culture, offering insights and future research directions.

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