Iceberg Sensemaking: A Process Model for Critical Data Analysis and Visualization
Charles Berret, Tamara Munzner

TL;DR
This paper introduces a new interpretivist, iceberg-inspired process model for critical data analysis and visualization, emphasizing schemas and power dynamics in sensemaking.
Contribution
It presents a novel three-phase sensemaking model grounded in humanistic and interpretivist principles, contrasting with traditional positivist models.
Findings
Model validated through four analysis scenarios
Highlights importance of schemas and power in data interpretation
Fosters epistemic humility and pluralism in data analysis
Abstract
We offer a new model of the sensemaking process for data analysis and visualization. Whereas past sensemaking models have been grounded in positivist assumptions about the nature of knowledge, we reframe data sensemaking in critical, humanistic terms by approaching it through an interpretivist lens. Our three-phase process model uses the analogy of an iceberg, where data is the visible tip of underlying schemas. In the Add phase, the analyst acquires data, incorporates explicit schemas from the data, and absorbs the tacit schemas of both data and people. In the Check phase, the analyst interprets the data with respect to the current schemas and evaluates whether the schemas match the data. In the Refine phase, the analyst considers the role of power, articulates what was tacit into explicitly stated schemas, updates data, and formulates findings. Our model has four important…
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Taxonomy
TopicsData Visualization and Analytics
