POSE: Phase II: Growing GRASS OSE for Worldwide Access to Multidisciplinary Geospatial Analytics

有助于从基于位置的信息（地理空间数据）中产生见解的软件，对于解决对国家和社会具有重要意义的许多领域的问题至关重要，这些领域包括公共卫生、自然资源、城市规划和灾难恢复。该项目旨在扩大和支持开发和使用名为GRASS GIS的免费地理空间软件平台的社区。几十年来，GRASS GIS使世界各地的研究人员能够找到紧迫问题的新解决方案，并通过为广泛的分析创建和修改地理空间工作流程，在彼此的工作基础上进行构建。对GRASS GIS的需求正在增加，因此需要协调一致的努力来增加大学、政府机构和企业的研究人员和其他软件用户的数量，他们可以帮助维护和改进对GRASS GIS的访问。通过现代化和扩展软件分发，简化GRASS GIS与其他开源软件的使用方式，提高质量保证和软件安全，加快重要更新的步伐，这种协同努力将使GRASS GIS在支持开源软件研究方面更具可持续性。该项目的目标是使软件基础设施现代化，并战略性地发展GRASS社区，以实现技术上和社会上可持续的开源生态系统，为科学家提供新颖的跨学科研究基础，这些研究将是可访问的，可复制的，并为进一步的创新做好准备。该项目旨在促进学术界、政府和工业界越来越多的研究人员和地理空间实践者采用GRASS GIS作为关键的地理处理引擎。为了通过更广泛地使用GRASS算法和模型来实现技术上可持续的生态系统，该项目将现代化并扩展软件分发，提高安全性和质量保证，并简化GRASS与其他软件（如R和QGIS）集成的维护。简化的贡献者入职程序以及远程和现场培训、指导和推广活动将鼓励研究人员贡献新的地理空间算法和模型。集成在自动化测试中的入门和教学材料将显著降低开发人员社区维护这个复杂软件环境的成本。该项目旨在通过跨项目聚会、开发者峰会、社区冲刺、在线和面对面培训以及一对一的贡献者指导等参与活动，发展全球的GRASS用户、贡献者和开发者社区。通过与格拉斯项目指导委员会合作，建立重点工作组，实施确保包容性环境和高质量贡献的政策，解决项目治理中的国际参与和多样性问题。扩大来自学术界和研究机构、非营利组织和工业界的贡献者的数量和多样性，将促进新的地理处理引擎功能的开发，并确保所贡献的研究模型的长期维护。它还将加快地理处理工具的开发，以解决与地点和地点相关的重大社会挑战。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。

Software that helps create insights from location-based information (geospatial data) is essential for addressing problems in many fields of national and societal importance, including public health, natural resources, urban planning, and disaster recovery. This project aims to expand and support the community of people developing and using a freely available geospatial software platform called GRASS GIS. For decades, GRASS GIS has allowed researchers around the world to find new solutions to pressing problems, and build on each other's work, by creating and modifying geospatial workflows for a wide range of analyses. The demand for GRASS GIS is increasing and therefore a coordinated effort is needed to grow the number of researchers and other software users at universities, government agencies, and businesses who can help maintain, and improve access to, GRASS GIS. This coordinated effort will make GRASS GIS more sustainable for supporting research with open-source software-by modernizing and expanding software distribution, simplifying how GRASS GIS can be used with other open-source software, improving quality assurance and software security, and accelerating the pace of important updates.The goal of this project is to modernize software infrastructure and strategically grow the GRASS community to achieve a technologically and socially sustainable open-source ecosystem that provides scientists a foundation for novel, interdisciplinary research that will be accessible, reproducible, and ready for further innovations. The project aims to facilitate the adoption of GRASS GIS as a key geoprocessing engine by a growing number of researchers and geospatial practitioners in academia, governments, and industry. To achieve a technologically sustainable ecosystem with broader access to GRASS algorithms and models, the project will modernize and expand software distribution, increase security and quality assurance, and simplify maintenance of GRASS integrations with other software (such as R and QGIS). Streamlined contributor onboarding procedures and both remote and in-person training, mentoring, and promotion activities will encourage researchers to contribute new geospatial algorithms and models. Onboarding and teaching materials that are integrated in automated testing will significantly lower the costs to the developer community for maintaining this sophisticated software environment. The project aims to grow the community of GRASS users, contributors, and developers worldwide through engagement activities such as cross-project meetups, developer summits, community sprints, online and in-person training and one-on-one contributor mentoring. International involvement and diversity in project governance will be addressed by working with the GRASS Project Steering Committee to establish focused work groups that will implement policies ensuring an inclusive environment and high-quality contributions. Expanding the number and diversity of contributors from academia and research, non-profits, and industry will facilitate development of new geoprocessing engine features and ensure long-term maintenance of contributed research models. It will also enable faster development of geoprocessing tools to address major societal challenges linked to a location and place.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.