CDS&E: AAG: "glupyter": Enabling multi-dimensional linked data visualization with glue in the browser

CDS

• 批准号: 1908419
• 负责人: Alyssa Goodman
• 金额: $ 23.35万
• 依托单位: Harvard University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1908419&HistoricalAwards=false
• 关键词: CDS&E; AAG; glupyter; Enabling; multi

The open-source glue package allows scientists to explore relationships within and across related datasets. It makes it easy to create multi-dimensional linked visualizations, to select subsets interactively or programmatically, and then see those selections in context. A unique feature of glue is that it allows user-defined mathematical relationships between sets of data components. Because of limitations with the current glue application, a new interface to glue is under development, called "glupyter". The present award will support transforming glupyter from a proof-of-concept application to a fully featured, polished and science-grade application for astronomical research and beyond. Glue and glupyter can be used across many fields of science, from exploring astronomical observations to analyzing radiological images of the brain to exploring patterns in multi-wavelength satellite images. As their capabilities expand, so will their potential for impact outside of scientific research. They are already good tools for teaching the fundamentals of data exploration, and will enable new data-science curricula for students in grades 6-14. Cognitive and visualization research has long shown that humans are especially adept at seeing change, which is why real-time data exploration using linked views of high-dimensional data offers such an effective way to look for trends, outliers and salient subsets, even in very large data sets. Commercial linked-view tools can be used for single tabular data files, but no extant tool handles linked-view selection in two-dimensional images and three-dimensional volumes spread across multiple files. This is where the strength of glue lies. Meanwhile, Jupyter notebooks are increasingly popular for data analysis, as they store an entire workflow using narrative text, code, and visualizations. They encourage reproducibility and facilitate sharing. Bringing glue into the Jupyter ecosystem as glupyter offers unparalleled potential for insight.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

开源胶水包允许科学家探索相关数据集内部和之间的关系。 它可以轻松创建多维链接可视化，以交互方式或编程方式选择子集，然后在上下文中查看这些选择。 胶水的一个独特功能是它允许用户定义数据组件之间的数学关系。 由于当前glue应用程序的限制，一个新的glue接口正在开发中，称为“glupyter”。 目前的奖项将支持将glupyter从概念验证应用程序转变为功能齐全，抛光和科学级应用程序，用于天文学研究及其他领域。 胶水和glupyter可以用于许多科学领域，从探索天文观测到分析大脑的放射性图像，再到探索多波长卫星图像中的模式。 随着其能力的扩大，其在科学研究之外的影响潜力也将扩大。它们已经是教授数据探索基础知识的良好工具，并将为6-14年级的学生提供新的数据科学课程。长期以来，认知和可视化研究表明，人类特别擅长看到变化，这就是为什么使用高维数据的链接视图进行实时数据探索提供了一种有效的方法来寻找趋势，离群值和显着子集，即使在非常大的数据集中。 商业链接视图工具可用于单个表格数据文件，但现有工具无法处理分布在多个文件中的二维图像和三维体积中的链接视图选择。 这就是胶水的力量所在。 与此同时，Xueyter笔记本在数据分析方面越来越受欢迎，因为它们使用叙述性文本、代码和可视化来存储整个工作流程。 它们鼓励可复制性并促进共享。 将胶水作为glupyter引入到Glupyter生态系统中，提供了无与伦比的洞察潜力。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

The star formation history of the Sco-Cen association: Coherent star formation patterns in space and time

Sco-Cen协会的恒星形成历史：空间和时间上一致的恒星形成模式

• DOI: 10.1051/0004-6361/202346901
• 发表时间: 2023
• 期刊: Astronomy & Astrophysics
• 影响因子: 6.5
• 作者: Ratzenböck, Sebastian;Großschedl, Josefa E.;Alves, João;Miret-Roig, Núria;Bomze, Immanuel;Forbes, John;Goodman, Alyssa;Hacar, Álvaro;Lin, Doug;Meingast, Stefan
• 通讯作者: Meingast, Stefan

A 3D View of Orion. I. Barnard's Loop

猎户座的 3D 视图。

• DOI: 10.3847/1538-4357/acb5f4
• 发表时间: 2023
• 期刊: The Astrophysical Journal
• 作者: Foley, Michael M.;Goodman, Alyssa;Zucker, Catherine;Forbes, John C.;Konietzka, Ralf;Swiggum, Cameren;Alves, João;Bally, John;Soler, Juan D.;Großschedl, Josefa E.
• 通讯作者: Großschedl, Josefa E.

Constraining the distance to the North Polar Spur with Gaia DR2

• DOI: 10.1093/mnras/staa2702
• 发表时间: 2020-11-01
• 期刊: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
• 影响因子: 4.8
• 作者: Das, Kaustav K.;Zucker, Catherine;Alves, Joao
• 通讯作者: Alves, Joao

Building the molecular cloud population: the role of cloud mergers

构建分子云群：云合并的作用

• DOI: 10.1093/mnras/stac3627
• 发表时间: 2022
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Skarbinski, Maya;Jeffreson, Sarah M. R.;Goodman, Alyssa A.
• 通讯作者: Goodman, Alyssa A.

Turbulence, coherence, and collapse: Three phases for core evolution

湍流、凝聚和崩溃：核心演化的三个阶段

• DOI: 10.1093/mnras/stac2734
• 发表时间: 2022
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Offner, Stella S;Taylor, Josh;Markey, Carleen;Chen, Hope How-Huan;Pineda, Jaime E;Goodman, Alyssa A;Burkert, Andreas;Ginsburg, Adam;Choudhury, Spandan
• 通讯作者: Choudhury, Spandan