Collaborative Research: GEO OSE Track 2: Project Pythia and Pangeo: Building an inclusive geoscience community through accessible, reusable, and reproducible workflows

该项目建立在两个社区驱动的开放地球科学努力取得明显成功的基础上：Pangeo和Project Pythia。Pangeo在云端拥有先进的“大数据”地学变革性平台和范式；Pythia为基于公共云数据集的地学工作流构建了开放、交互的学习资源，这些工作流“只适用于”用户。该项目的中心目标是通过使用Pythia Cookbook格式，围绕共享的科学工作流程知识建立社区，从而减少科学进步的障碍。“食谱”指的是将原料(公开可用的数据)转化为科学有用结果的食谱集合。Cookbook基于Jupyter笔记本，但明确绑定到可重复使用的计算环境，并由丰富的基础设施支持，支持协作创作和自动化健康检查-这是与广泛存在的笔记本过时问题作斗争的基本工具。开放获取、基于云的食谱是一股推动科学民主化的力量。通过增加皮提亚食谱的集合，同时扩大用户、贡献者和维护者的社区，该项目将提高当前和未来的地球科学家在快速发展的开放科学生态系统中实践开放科学的能力。皮提亚项目的存在是为了容纳、共享和加速地球科学中基于Python的计算的高质量学习资源的开发。该项目将通过使用开源生态系统在云中开发、记录和传播高度可扩展、可重现的数据分析的最佳实践，来推动地球科学研究和教育。皮西亚团队将开发以科学为导向的示范食谱，展示在众多地球科学领域的高价值数据集上的常见分析工作流程的高度可伸缩性版本，所选内容旨在加快社区的认识和参与。内容将涵盖大气科学、物理海洋学、水文学、冰川学、气候科学和机器学习应用等学科。基础设施将部署在商业和NSF资助的云平台上，用于性能接近数据的Cookbook创作、测试和使用。食谱收藏和用户贡献者社区都将通过年度研讨会、外联和课堂使用扩大和增长，招聘专门针对服务不足的社区。优先事项将由独立的指导委员会指导；可持续发展将通过培育一个由自动化支持的充满活力、包容的社区来实现，以降低参与门槛。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 builds upon the demonstrable success of two community-driven open geoscience efforts: Pangeo and Project Pythia. Pangeo has advanced transformative platforms and paradigms for “Big Data” geoscience in the cloud; Pythia has built open, interactive learning resources for Python-based geoscience workflows built on public cloud datasets that “just work” for users. The central goal of this project is to reduce barriers to scientific progress by building community around shared scientific workflow knowledge, using the Pythia Cookbook format. “Cookbooks” imply collections of recipes for transforming raw ingredients (publicly available data) into scientifically useful results. Cookbooks are based on Jupyter notebooks but explicitly tied to reproducible computational environments and supported by a rich infrastructure enabling collaborative authoring and automated health-checking – essential tools in the struggle against the widespread problem of notebook obsolescence. Open-access, cloud-based Cookbooks are a democratizing force for science. By growing the collection of Pythia Cookbooks while growing the community of users, contributors, and maintainers, this project will grow the capacity of current and future geoscientists to practice open science within the rapidly evolving open science ecosystem.Project Pythia exists to house, share, and accelerate the development of high-quality learning resources for Python-based computing in the geosciences. This project will advance geoscience research and education by developing, documenting, and propagating best practices for highly scalable reproducible data analysis in the cloud using the open-source ecosystem. The Pythia team will develop science-driven exemplar Cookbooks demonstrating highly scalable versions of common analysis workflows on high-value datasets across numerous geoscience domains, with content chosen to accelerate community awareness and participation. Content will span disciplines including Atmospheric Science, Physical Oceanography, Hydrology, Glaciology, Climate Science, and applications of Machine Learning. Infrastructure will be deployed for performant data-proximate Cookbook authoring, testing, and use, on both commercial and NSF-funded cloud platforms. Both the Cookbook collection and the community of user-contributors will broaden and grow through annual workshops, outreach, and classroom use, with recruitment specifically targeting under-served communities. Priorities will be guided by an independent steering board; sustainability will be achieved by nurturing a vibrant, inclusive community backed by automation that lowers barriers to participation.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.