Collaborative data science is a research field and methodological approach focused on the principles, processes, and technologies enabling multiple individuals to work collectively on data science projects. It investigates the dynamics of team-based data analysis, modeling, and deployment, emphasizing shared environments, knowledge management, workflow orchestration, and the effective use of collaborative tools and platforms to enhance efficiency, reproducibility, and the consolidation of data science activities within organizational contexts.