Collaborative Research: GEO OSE Track 2: QGreenland-Net: Open, connected data infrastructure for Greenland-focused geoscience, and beyond

该项目将开发QGreenland- net，这是一个基于云的地理空间数据基础设施，用于以格陵兰为重点的研究和教育，它建立在现有的QGreenland地理信息系统（GIS）软件包之上。QGreenland-Net是由美国和国际战略重点推动的，旨在提高格陵兰岛相关数据的可用性和可访问性，用于研究和决策。为了满足这些需求，QGreenland-Net将在美国、格陵兰和丹麦的数据生产者和地理空间软件创建者之间建立开放数据共享、共享数据服务和一致标准的能力。QGreenland-Net将创建开放数据服务，简化地理空间数据集成，使研究人员和管理人员更容易绘制、分析和模拟格陵兰北极地区的变化。这种对数据共享的内在支持是QGreenland-Net活动将产生的开放数据生态系统创建的关键因素。QGreenland-Net的广泛影响是深远的，为数据创建者、数据用户、地球科学和跨学科研究人员、从高中到研究生院的教育工作者以及感兴趣的决策者、规划者和社区提供服务。免费和开放获取是开放科学生态系统的关键要素，QGreenland-Net的所有开发、工具和支持资源将继续开放和免费获取。QGreenland-Net将动员和提供关键的地理空间数据资源，用于以格陵兰为重点的研究和教育，这些资源目前是高度分散的、不可访问的、不可互操作的。由QGreenland-Net创建的软件将服务于整个地理空间数据社区，它将提供一种可复制的数据传输方法，可应用于北极科学和地球科学。QGreenland- net项目的核心是一个新的NSF北极数据中心和QGreenland合作伙伴关系，以创建一个“开放地理空间数据云”（OGDC），以提高来自DataONE数据存储库联盟的地理空间数据的可发现性、可访问性和互操作性。利用这些云资源，研究人员和教育工作者将能够从存储库网络中识别感兴趣的地理空间数据，进行数据转换，然后通过QGreenland或其他地理空间软件共享、分析和可视化这些数据。QGreenland-Net将协调格陵兰研究、开放研究软件和联合数据社区，以确保相互关联的数据到应用程序过程开发，它将通过研讨会、教程和社区建设支持这种新的开放科学生态系统的持续和网络化增长。引入针对教育工作者的QGreenland工具包将支持极地科学原理的教学，进一步开发持久的教育材料将使教师、学生和研究人员能够培养地理空间数据使用和发现的新能力。该奖项反映了美国国家科学基金会的法定使命，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。

This project will develop QGreenland-Net, a cloud-based geospatial data infrastructure for Greenland-focused research and education that builds on the existing QGreenland geographic information system (GIS) package. QGreenland-Net is motivated by U.S. and international strategic priorities to increase the usability and accessibility of Greenland-related data for research and decision-making. To address these needs, QGreenland-Net will build capacity for open data sharing, shared data services, and consistent standards across U.S.-, Greenland-, and Denmark-based data producers and geospatial software creators. QGreenland-Net will create open data services that simplify geospatial data integration, making it easier for researchers and managers to map, analyze, and model changes in the Greenlandic Arctic. This inherent support of data sharing is a key element of open data ecosystem creation that will arise from QGreenland-Net activities. The broader impacts of QGreenland-Net are far reaching, serving data creators, data users, geoscientific and interdisciplinary researchers, educators from high school through graduate school, and interested decision makers, planners, and communities. Free and open access is a key element of an open science ecosystem, and all QGreenland-Net development, tools, and support resources will continue to be open and free to access.QGreenland-Net will mobilize and deliver critical geospatial data resources for Greenland-focused research and education from sources that are currently highly dispersed, inaccessible, and not interoperable. The software created by QGreenland-Net will serve the full geospatial data community, and it will provide a replicable approach to data delivery that could be applied across Arctic science and the geosciences. At the heart of the QGreenland-Net project is a new NSF Arctic Data Center and QGreenland partnership to create an “Open Geospatial Data Cloud” (OGDC) to improve discoverability, accessibility, and interoperability for geospatial data from the DataONE federation of data repositories. Using these cloud resources, researchers and educators will be able to identify geospatial data of interest from the network of repositories, make data transformations, and then share, analyze, and visualize those data via QGreenland or other geospatial software. QGreenland-Net will coordinate across the Greenland research, open research software, and federated data communities to ensure interconnected data-to-application process development, and it will support sustained and networked growth of this new open science ecosystem through workshops, tutorials, and community-building. Introduction of an educator-specific QGreenland package will support teaching Polar science principles, and further development of enduring educational materials will allow teachers, students, and researchers to cultivate new capacity for geospatial data use and discovery.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.