A Novel Gateway for Visual Exploratory Analysis and Sharing of Survey Data

SuAVE (Survey Analysis via Visual Exploration) is a key component of an emerging infrastructure enabling users to publish, share, and collaboratively analyze survey data in natural and social sciences. We discuss SuAVE analytical capabilities, which combine visual, statistical and cartographic analyses, as well as associated tools for publishing surveys, annotating them, and sharing annotations with partners. In addition to presenting this application as a scalable science gateway for survey data of different types, we demonstrate it using the 2015 Science Gateways Institute survey as a sample dataset. The Institute survey was published in SuAVE to make analysis of raw survey data easily accessible, intuitive, and visually attractive, while offering a combination of powerful data exploration tools.