Framework: Data: HDR: Extensible Geospatial Data Framework towards FAIR (Findable, Accessible, Interoperable, Reusable) Science

框架：数据：HDR：面向 FAIR（可查找、可访问、可互操作、可重用）科学的可扩展地理空间数据框架

• 批准号: 1835822
• 负责人: Xiaohui Carol Song
• 金额: $ 457.18万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835822&HistoricalAwards=false
• 关键词: Framework; Data; HDR; Extensible; Geospatial

This project provides seamless connections among platforms, data and tools, making large scientific and social geospatial datasets directly usable in scientific models and tools. Users with little or no programming experience will be able to create and build data pipelines that collect and process data at multiple scales and convert such data into usable results. Four case studies demonstrate the capability of the data framework: flood hazard prediction, plant phenotyping, water quality monitoring and sustainable development.The project creates an extensible geospatial data framework (GeoEDF) to address prevalent geospatial data challenges, support domain science needs, and contribute to a national geospatial data and software ecosystem. Specific objectives include: - development of a plug-and-play data framework (GeoEDF), - use of the framework to address domain science needs, - development of interoperability with other cyberinfrastructures, and - dissemination of GeoEDF to the broader community. Use of modular plug-and-play application programming interfaces (APIs) would enable integration of domain-specific geospatial data in a meaningful and accessible manner, leveraging an existing cyberinfrastructure capability (HUBzero) to facilitate adoption and dissemination without reinventing existing components. The project engages a substantial number of domain scientists from a variety of stakeholder communities; by incorporating the framework into HUBzero-powered sites, the team anticipates having access to more than 750,000 users. Training will be provided to the next-generation of researchers and professionals; internship programs are planned for undergraduate and underrepresented groups. The project allows users / scientists to connect a range of data sources, potentially increasing interdisciplinary work. The ultimate goal is to put easy-to-use tools and platforms into the hands of researchers and students to conduct scientific investigations using findable, accessible, interoperable, and reusable (FAIR) science principles.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.

该项目提供平台、数据和工具之间的无缝连接，使大型科学和社会地理空间数据集可直接用于科学模型和工具。 几乎没有编程经验的用户将能够创建和构建数据管道，以多个尺度收集和处理数据，并将这些数据转换为可用的结果。 四个案例研究证明了数据框架的能力：洪水灾害预测，植物表型，水质监测和可持续发展。该项目创建了一个可扩展的地理空间数据框架（GeoEDF），以应对普遍的地理空间数据挑战，支持领域科学需求，并为国家地理空间数据和软件生态系统做出贡献。具体目标包括：- 开发即插即用数据框架（GeoEDF），-使用该框架满足领域科学需求，-开发与其他网络基础设施的互操作性，以及-将GeoEDF传播到更广泛的社区。使用模块化即插即用应用程序编程接口（API）将能够以有意义和可访问的方式整合特定领域的地理空间数据，利用现有的网络基础设施能力（HUBzero）促进采用和传播，而无需重新设计现有组件。该项目吸引了来自各种利益相关者社区的大量领域科学家;通过将框架整合到HUBzero供电的网站中，该团队预计将访问超过750，000个用户。 将为下一代研究人员和专业人员提供培训;计划为本科生和代表性不足的群体提供实习计划。该项目允许用户/科学家连接一系列数据源，可能会增加跨学科的工作。 最终目标是将易于使用的工具和平台交到研究人员和学生手中，以使用可发现、可访问、可互操作和可重复使用（FAIR）的科学原则进行科学调查。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

Cyber-enabled autocalibration of hydrologic models to support Open Science

• DOI: 10.1016/j.envsoft.2022.105561
• 发表时间: 2022-10
• 期刊: Environ. Model. Softw.
• 作者: M. Rajib;I. L. Kim;M. Ercan;V. Merwade;Lan Zhao;C. Song;Kuan-Hung Lin

C3F: A Collaborative Container-based Model Coupling Framework

C3F：基于容器的协作模型耦合框架

• 发表时间: 2022
• 期刊: ACM Practice & Experience in Advanced Research Computing
• 作者: Jungha Woo, Lan Zhao

Open Science via HUBzero: Exploring Five Science Gateways Supporting and Growing their Open Science Communities

通过 HUBzero 开放科学：探索支持和发展开放科学社区的五个科学网关

• DOI: 10.24251/hicss.2022.090
• 发表时间: 2022
• 期刊: HICSS 2022: Hawaii International Conference on System Sciences
• 作者: Gesing, S.;Stirm, C.;Klimeck, G.;Zentner, LK;Wang, S;Villegas-Martínez, BM;Eaton, CD;Donovan, S;Zhao, L;Song, CX
• 通讯作者: Song, CX

GeoEDF: An Extensible Geospatial Data Framework for FAIR Science

GeoEDF：FAIR Science 的可扩展地理空间数据框架

• DOI: 10.1145/3311790.3396631
• 发表时间: 2020
• 期刊: PEARC '20: Practice and Experience in Advanced Research Computing
• 作者: Kalyanam, Rajesh;Zhao, Lan;Song, X. Carol;Merwade, Venkatesh;Jin, Jian;Baldos, Uris;Smith, Jack
• 通讯作者: Smith, Jack

Cyberinfrastructure for sustainability sciences

可持续科学的网络基础设施

• DOI: 10.1088/1748-9326/acd9dd
• 发表时间: 2023
• 期刊: Environmental Research Letters
• 影响因子: 6.7
• 作者: Song, Carol X.;Merwade, Venkatesh;Wang, Shaowen;Witt, Michael;Kumar, Vipin;Irwin, Elena;Zhao, Lan;Walton, Amy
• 通讯作者: Walton, Amy