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This lecture explores the concept of Digital Humanities, discussing the distinction between humanists and digital humanists, the role of computer scientists in DH communities, the debate between makers and interpreters, and the balance between distant and close reading in DH research. It also delves into the question-driven vs. data-driven approaches, the differences between Big Data DH and Small Data DH, and the narratives surrounding Big Data. The lecture further examines the technological, open-ended, relational, and paradigmatic dimensions of data bigness, emphasizing the challenges and opportunities presented by Big Cultural Data Sets.