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工作的明显成功基础上：Pangeo和Pythia项目。Pangeo在云中为“大数据”地球科学提供了先进的变革性平台和范例; 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，这些工作流建立在公共云数据集上，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，减少科学进步的障碍。“食谱”意味着将原料（公开可用的数据）转化为科学有用的结果的食谱集合。Cookbooks是基于笔记本电脑的，但明确地与可复制的计算环境相关联，并由丰富的基础设施支持，支持协作创作和自动健康检查-这是应对笔记本电脑过时这一普遍问题的关键工具。基于云计算的开放式食谱是科学民主化的力量。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。Pythia项目的存在是为了容纳，共享和加速开发高质量的学习资源，用于地球科学中基于Python的计算。该项目将通过开发、记录和传播最佳实践来推进地球科学研究和教育，以便使用开源生态系统在云中进行高度可扩展的可重复数据分析。Pythia团队将开发科学驱动的范例Cookbooks，展示众多地球科学领域高价值数据集上通用分析工作流程的高度可扩展版本，选择内容以加速社区意识和参与。内容将跨越学科，包括大气科学，物理海洋学，水文学，冰川学，气候科学和机器学习的应用。将在商业和NSF资助的云平台上部署基础设施，以进行高性能的数据近似Cookbook创作，测试和使用。Cookbook收藏和用户贡献者社区都将通过年度研讨会、外联和课堂使用来扩大和发展，招募专门针对服务不足的社区。优先事项将由一个独立的指导委员会指导;可持续性将通过培养一个充满活力的，包容性的社区来实现，该社区由自动化支持，降低参与障碍。该奖项反映了NSF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.