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项目（Pangeo和project Pythia）的显著成功基础之上。Pangeo拥有先进的云“大数据”地球科学转型平台和范例；Pythia为基于python的地球科学工作流构建了开放的交互式学习资源，这些资源建立在公共云数据集上，“只为用户工作”。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。“烹饪书”意味着将原料（公开可用的数据）转化为科学上有用的结果的食谱集合。烹饪书基于Jupyter笔记本，但明确地与可复制的计算环境绑定在一起，并由丰富的基础设施支持，从而实现协作创作和自动健康检查——这是与笔记本过时的普遍问题作斗争的基本工具。开放获取、基于云计算的烹饪书是推动科学民主化的力量。通过增加Pythia Cookbooks的收藏，同时增加用户、贡献者和维护者的社区，该项目将提高当前和未来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。Project Pythia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。该项目将通过开发、记录和传播使用开源生态系统在云中进行高度可扩展可重复数据分析的最佳实践，推进地球科学研究和教育。Pythia团队将开发科学驱动的范例cookbook，展示跨多个地球科学领域的高价值数据集的通用分析工作流的高度可扩展版本，其内容选择将加速社区的认识和参与。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，用于高性能的数据接近Cookbook的创作、测试和使用。Cookbook集合和用户贡献者社区都将通过年度研讨会、外展和课堂使用来扩大和发展，并专门针对服务不足的社区进行招聘。优先事项将由一个独立的指导委员会指导；可持续发展将通过培育一个充满活力、包容的社区来实现，以降低参与障碍的自动化为后盾。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 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.