Facilitating Collaborative Science using HydroShare and Jupyter Notebooks
收藏DataONE2021-12-05 更新2024-06-08 收录
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Jupyter notebooks are becoming popular among the geoscience community for there ability to clearly present, disseminate, and describe scientific findings in a transparent and reproducible manner. This also makes them a desirable mechanism for sharing and collaborating scientific data and workflows with colleagues during the research process, especially when addressing large-scale cross-disciplinary geoscience issues. This work extends Jupyter notebooks to operate in a pre-configured cloud environment that is integrated with HydroShare for its data sharing and collaboration functionality, and notebooks are executed on the Resourcing Open Geospatial Education and Research (ROGER) supercomputer hosted in the CyberGIS center. This design enables researchers to address problems that are often larger in scale than can be done on a typical desktop computer. Additionally, the integration of these technologies enables researchers to collaborate on notebook workflows that execute in the cloud and are shared through the HydroShare platform. The goals of this work are to establish an open source platform for domain scientists to (1) conduct data intensive and computationally intensive collaborative research, and (2) organize data driven educational material via classroom modules, workshops, or training courses. This presentation will discuss recent efforts towards achieving these goals, and describe the architectural design of the notebook server in an effort to support collaborative and reproducible science.
Jupyter笔记本(Jupyter Notebooks)在地球科学学界愈发流行,因其能够以透明且可复现的方式清晰呈现、传播并阐释科学研究成果。这也使其成为科研过程中与同行共享科学数据、协作研究工作流的理想载体,在应对大规模跨学科地球科学议题时尤为如此。本研究将Jupyter笔记本拓展至预配置云环境中运行,该环境集成了HydroShare的数据共享与协作功能,且笔记本将在托管于CyberGIS中心的开放地理空间教育与研究资源(Resourcing Open Geospatial Education and Research, ROGER)超级计算机上执行。该设计使得研究人员能够处理远超普通台式机算力所能支撑的大规模问题。此外,这些技术的集成使得研究人员能够就云端运行且通过HydroShare平台共享的笔记本工作流展开协作。本研究的目标是为领域科学家搭建一个开源平台,以实现两大功能:(1)开展数据密集型与计算密集型的协作科研;(2)通过课堂模块、工作坊或培训课程组织数据驱动的教学材料。本次汇报将探讨为实现上述目标所开展的近期工作,并阐述笔记本服务器的架构设计,以期为协作式与可复现的科学研究提供支撑。
创建时间:
2021-12-05



