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.

SuAVE (Survey Analysis via Visual Exploration) 是一套新兴基础设施的核心组成部分，可支持自然科学与社会科学领域的用户发布、共享并协作分析调查数据。本文探讨了SuAVE的分析能力，其整合了可视化分析、统计分析与制图分析功能，同时配套提供了调查发布、数据标注以及与合作伙伴共享标注内容的相关工具。除将该应用作为面向各类调查数据的可扩展科学网关进行介绍外，本文还以2015年科学网关研究院（Science Gateways Institute）的调查作为示例数据集，对其进行了演示。该研究院的调查数据已在SuAVE平台发布，既让原始调查数据的分析过程变得易于获取、直观易懂且视觉效果出众，同时也集成了一系列强大的数据探索工具。