Author:

Keywords:

SISTA

Abstract:

Data visualization is an integral part of biological sciences and essential to enable dissemination of knowledge and sophisticated analysis of data. With advances in both biological data acquisition technologies and data-management and -processing technologies, researchers face challenges of developing better conjectures from the data that continue to increase in volume and complexity. Consequently, such data analysis often requires interdisciplinary expertise to address challenges in each case. In this thesis, we examine the design process of visualization projects from a wide range of application domains. The discussion includes the descriptive explanation of intermediate iterations towards the final design solution. The existing visualization model and framework are extended to characterise the design space of biological data visualization. Also, a practical 4-step guideline for visualization design is provided as an actionable evaluation method of visualization design. Careful retrospective analysis of each design case reveals that data visualization is ubiquitous, highlighting its vital role at different stages of data-intensive science.