The integration of data science, machine learning, and artificial intelligence in landscape architecture, urban studies and design promises transformative impacts on cities. While acknowledging that urban complexities transcend data, the concepts of datafication and dataism emphasize the potential to sample, model, and predict urban phenomena through data. This study explores the synergy of digital visualization in collaboration. A structured framework, rooted in the multidimensional collaboration model and guided by theories, elucidates dimensions like Governance, Administration, Autonomy, Mutuality, Norms, and Equality. An illustration of qualitative research prepared for a second phase quantitative research complements the framework, aiming to discover indicators to assess the impact of data visualization on collaboration formation. This study contributes to structuring the framework to examine the symbiotic relationship between data visualization, collaboration, and decision-making, propelling transformative landscape architecture and urban data governance.