We introduce the notion of a data-first design study which is triggered by the acquisition of
real-world data instead of specific stakeholder analysis questions. We propose an …

Data visualization is becoming an increasingly popular field of design practice. Although
many studies have highlighted the knowledge required for effective data visualization …

Two fundamental tenants of scientific research are that it can be scrutinized and built-upon.
Both require that the collected data and supporting materials be shared, so others can …

This workshop focuses on'data-visualization activities', especially methods and challenges
for teaching and engaging with data visual-ization concepts, knowledge, and practices. For …

Understanding a visualization is a multi-level process. A reader must extract and extrapolate
from numeric facts, understand how those facts apply to both the context of the data and …

Among the many changes brought about by the COVID-19 pandemic, one of the most
pressing for scientific research concerns user testing. For the researchers who conduct …

Data visualization design often requires creativity, and research is needed to understand its
nature and means for promoting it. The current visualization literature on creativity is not well …

When creating a visualization, designers face various conflicting design choices. They
typically rely on their hunches to deal with intricate trade-offs or resort to feedback from their …

Data visualization provides a powerful way for analysts to explore and make data-driven
discoveries. However, current visual analytic tools provide only limited support for …

Visualization is an inherently interdisciplinary research area: visualization researchers are
always visualizing other people's data. While recent trends in the field has turned toward a …