A systematic method for surveying data visualizations and a resulting genomic epidemiology visualization typology: GEViT.

ABSTRACT:

Motivation

Data visualization is an important tool for exploring and communicating findings from genomic and healthcare datasets. Yet, without a systematic way of organizing and describing the design space of data visualizations, researchers may not be aware of the breadth of possible visualization design choices or how to distinguish between good and bad options.

Results

We have developed a method that systematically surveys data visualizations using the analysis of both text and images. Our method supports the construction of a visualization design space that is explorable along two axes: why the visualization was created and how it was constructed. We applied our method to a corpus of scientific research articles from infectious disease genomic epidemiology and derived a

SUBMITTER: Crisan A 

PROVIDER: S-EPMC6513170 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature