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SI2-SSE: Visualizing Astronomy Repository Data using WorldWide Telescope Software Systems

SI2-SSE: Visualizing Astronomy Repository Data using WorldWide Telescope Software Systems
SI2-SSE:使用全球望远镜软件系统可视化天文学存储库数据
批准号:
1642446
负责人:
Patrick Heidorn
金额:
$50.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-10-01 至 2022-07-31

项目摘要

项目成果

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中文摘要
翻译
世界范围望远镜(WWT)提供了一个强大的数据可视化界面,用于数据探索和显示。通过开源的WWT可视化软件系统,该项目可以更广泛地使用机构和社区,面向研究人员的天文数据存储库和计算工具。WWT将与Astrolabe集成,Astrolabe是亚利桑那大学(UA)的一个数据存储库,针对具有遗留数据的研究人员,主要支持学术文章,并正在构建中,以使用(nsf资助的)CyVerse网络基础设施提供数据访问。通过创建一个全功能的基于web的WWT前端,模块化以方便与各种天文数据档案和计算工具的连接,该项目整合了以前未管理的数据。UA和美国天文学会(AAS)项目团队将与天文学研究界共同参与这些发展,使WWT成为一个社区定义的数据档案接口,并在数据、软件工具和期刊出版物之间提供链接。通过扩展其功能,并通过网络版本将WWT整合到存储库中,WWT将成为天文学家工作流程中的通用工具,包括支持志愿者开展的公民科学活动。这使得研究、教育和外展之间有了紧密的联系,这样天文学家就可以把WWT作为他们研究活动的一部分,然后与教育团体和公众分享工作成果,造福社会。天文学界面临着与大规模大数据相关的诸多挑战,具体而言:(1)在其他观测的背景下实现特定数据集的可视化;(2)组织和共享底层数据,以实现结果的重用、引用和验证。数据存档通常以重新发明可视化系统而告终,这反过来又重复了以前的工作,并导致围绕数据而不是研究人员的需求构建可视化界面。天文学研究人员的工作流程包括存储数据,使其可以通过搜索和浏览发现,通过开放访问访问,通过连接到现有工具以及运行在CyVerse上的社区开发的工具进行操作,最后将数据可视化或引用。通过这个项目,WWT将提供一个强大的界面,用于浏览、与高性能和高吞吐量处理交互,以及显示从档案搜索中检索到的数据。有效的搜索将通过与社区管理分类法的集成而实现,在Astrolabe功能和WWT接口中以统一天文学同义词表(UAT)的形式实现。从Astrolabe开始,创建一个全功能的、基于web的客户端模块化版本的WWT作为档案的前端,并将UAT集成到搜索和浏览功能中,该项目将服务于广泛的天文学研究人员社区,同时降低档案开发这种可视化能力的成本。
英文摘要
WorldWide Telescope (WWT) provides a powerful data-visualization interface for data exploration and presentation. Through the open source WWT visualization software systems, this project enables the broader use of institutional and community-based, researcher-oriented astronomy data repositories and computational tools. WWT will be integrated with Astrolabe, a University of Arizona (UA) data repository targeted at researchers with legacy data, mostly supporting scholarly articles, and being built to provide dataset access using the (NSF-funded) CyVerse cyberinfrastructure. By creating a full-featured WWT web-based front-end, modularized for ease of connection to diverse astronomy data archives and computational tools, this project incorporates previously un-curated data. The UA and American Astronomical Society (AAS) project team will engage the astronomy research community to participate in these developments to make WWT a community-defined interface for data archives with linkages provided between data, software tools, and journal publications. By expanding the functionality and enabling the integration of WWT into repositories through a web-based version, WWT will become a common tool in the astronomers' workflow including supporting citizen science activities carried out by volunteers. This enables strong connections between research, education, and outreach so that an astronomer could use WWT as part of their research activities, and then share the work with educational communities and the public to benefit society.The astronomy community faces many challenges related to the large scale of big data, specifically: (1) the visualization of specific datasets in the context of other observations; and (2) organizing and sharing underlying data to enable reuse, citation, and verification of results. Data archives often end up reinventing visualization systems, in turn duplicating previous efforts, and resulting in visualization interfaces built around the data rather than the needs of researchers. The astronomy researcher workflow incorporates depositing data to make it discoverable through search and browsing, accessible through open access, actionable through connections to existing tools as well as community-developed tools running on CyVerse, and finally visualizing or citing data. Through this project, WWT will provide a powerful interface for browsing, interacting with high performance and high throughput processing, and displaying data retrieved from searches of the archives. Effective searching will be enabled by integration with community-managed taxonomy, in the form of the Unified Astronomy Thesaurus (UAT) in both the Astrolabe functions and the WWT interface. In creating a full-featured, web-based client modular version of WWT as a front-end to archives, starting with Astrolabe, and integrating the UAT into search and browsing functions, this project will both serve the broad community of astronomy researchers as well as mitigating costs for archives to develop this visualization capacity.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.3847/1538-4365/aab77e
发表时间: 2018-02
期刊: The Astrophysical Journal Supplement Series
影响因子: --
作者: [P. Heidorn;Gretchen R. Stahlman;Julie Steffen]
通讯作者: P. Heidorn;Gretchen R. Stahlman;Julie Steffen
The Astrolabe Project: Identifying and Curating Astronomical ‘Dark Data’ through Development of Cyberinfrastructure Resources
星盘项目:通过开发网络基础设施资源来识别和管理天文“暗数据”
DOI: 10.1051/epjconf/201818603003
发表时间: 2018
期刊: EPJ Web of Conferences
影响因子: --
作者: [Stahlman, Gretchen, Bryan Heidorn, P., Steffen, Julie, Lesteven, S., Kern, B., D’Abrusco, R., Dorch, B.]
通讯作者: Dorch, B.
DOI: 10.1002/pra2.276
发表时间: 2020-06
期刊: Proceedings of the Association for Information Science and Technology
影响因子: --
作者: [Gretchen R. Stahlman;P. Heidorn]
通讯作者: Gretchen R. Stahlman;P. Heidorn
Collaborative Research: Converging Genomics, Phenomics, and Environments Using Interpretable Machine Learning Models
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  • 财政年份:
    2019
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    Patrick Heidorn
  • 依托单位:
Collaborative Research: Conceptualizing an Institute for Empowering Long Tail Research
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    1216884
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    2012
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    2010
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Biodiversity and Biocomplexity Informatics: Policy and Implementation, Science versus Citizen Science, to be held in Portland, Oregon, July 16, 2002
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