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

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。只有很少或没有编程经验的用户将能够创建和建立数据管道，以收集和处理多个尺度的数据，并将这些数据转换为可用的结果。该项目创建了一个可扩展的地理空间数据框架(GeoEDF)，以应对普遍存在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)，-利用该框架满足领域科学需求，-发展与其他网络基础设施的互操作性，以及-向更广泛的社区传播GeoEDF。使用模块化即插即用应用程序编程接口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，而无需重新发明现有组件。该项目吸引了来自不同利益相关者社区的大量领域科学家；通过将该框架纳入HUBZO支持的网站，该团队预计将有超过75万用户。将向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(公平)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智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.