Navigating the Data Landscape

This chapter explores the critical role of context in data usage, emphasizing the need to understand how and why data is collected and utilized. It discusses the evolution from big data to AI, highlighting new roles like knowledge engineers and the importance of diverse perspectives from underrepresented groups. The chapter also examines issues surrounding data quality and security, while reflecting on insights gained from a recent conference that underscore the significance of human-centric approaches in the data community.