The DataSpace for HIV vaccine studies

David McColgin, Paul Hoover, M. Igra
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引用次数: 1

Abstract

The DataSpace for HIV vaccine studies is a discovery tool available on the web to hundreds of investigators. We designed it to help them better understand activity in the field and explore new ideas latent in completed research. The DataSpace harmonizes immunoassay results and study metadata so that a broader research community can pursue more flexible discovery than the typical centrally planned analyses. Insights from human-centered design and beta evaluation suggest strong potential for visual analytics that may also apply to other efforts in open science. The contribution of this paper is to elucidate key domain challenges and demonstrate an application that addresses them. We made several changes to familiar visualizations to support key tasks such as identifying and filtering to a cohort of interest, making meaningful comparisons of time series data from multiple studies that have different plans, and preserving analytic context when making data transformations and comparisons that would normally exclude some data.
艾滋病毒疫苗研究数据空间
艾滋病毒疫苗研究数据空间是一个可供数百名研究人员在网上使用的发现工具。我们设计它是为了帮助他们更好地了解该领域的活动,并探索已完成研究中潜在的新想法。DataSpace协调免疫分析结果和研究元数据,使更广泛的研究团体可以追求比典型的中央计划分析更灵活的发现。从以人为中心的设计和beta评估中获得的见解表明,视觉分析的巨大潜力也可能适用于开放科学的其他努力。本文的贡献在于阐明了关键领域的挑战,并演示了解决这些挑战的应用程序。我们对熟悉的可视化进行了一些更改,以支持关键任务,例如识别和过滤感兴趣的队列,对具有不同计划的多个研究的时间序列数据进行有意义的比较,以及在进行数据转换和比较时保留分析上下文,通常会排除某些数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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