This study aims to analyze the understanding and practice of data-driven journalism in Indonesia using big data analytics in media institutions such as data infrastructure availability, data structuring, data deepening, enrichment, presenting in the media, resource development, and management, and develop the model of data-driven journalism. The qualitative approach is used by in-depth interviews with 45 participants from media leaders, journalists, vloggers, and audiences. Besides, contents analyses are conducted on 48 samples of various media series along one year. The results showed that
big data analytics was conducted for data-driven journalism step by step at national and local media in Indonesia. However, the knowledge and understanding of big data analytics and data-driven journalism in the newsroom and research supporters are still not adequate for both policy and technology. This study suggests the model development of the data-driven journalism process from Indonesia's experience and has managerial implications on empowering data-driven journalism in Indonesia.
Big Data-Driven Materials Science and Its FAIR Data Infrastructure