Collaborative Research: GEO OSE Track 2: Sustainable Open Science Tools to Democratize Use of 3D Geomaterial Data

气候危机及其对人类的影响使我们迫切需要整理和分析广泛的地球科学数据。从微观结构和运输特性方面描述地质材料的特征对于理解地球系统和可持续资源管理至关重要。土壤的结构和组成在植物、微生物和农业生态系统中起着基础作用。在土壤深处，岩石微观结构和矿物非均质性对于理解流体/固体反应以改善地下水资源管理、碳固存、稀土矿物回收和污染物运输至关重要。现代3D成像为土壤和岩石的微观结构提供了一个窗口；机器学习和模拟的最新进展可以提高我们对这些材料如何影响我们周围世界的理解。丰富的不同长度尺度的地理材料体积数据集是可用的，但由于管理和分析它们所需的基础设施存在差距，大多数数据集无法广泛访问。随着计算和数据工作流程变得越来越复杂，显然需要开发和维护可重复和可扩展的开放科学基础设施，以支持科学界。该项目将创建基于云的开放科学工具，用于管理和分析地理材料图像数据。地球科学家以及研究各种多孔材料的广泛科学家群体将从中受益。开发的模块将直接适用于材料科学（固体泡沫），化学工程（燃料电池，电极）和医学（骨骼，细胞生物学，微血管网络）。该工具套件将通过存储库Digital Rocks Portal （DRP）部署相应的培训和教育材料，该存储库已收集了可供重用的数据。资源将是开放的和模块化的，因此用户可以在不同的计算环境中调整和实现它们。分析工作流程将使用来自海洋钻井项目（NSF award 2140397）的多个尺度的图像数据进行测试。用例将在nsf赞助的德克萨斯大学高分辨率x射线计算机断层扫描设备（UTCT）的广泛用户社区中重新分配。参与该项目的学生和研究人员将接触到地质学、工程学、数据管理和计算机科学相结合的跨学科工作。DRP将继续在多所大学的课程中使用，创建的工具将与数字对象标识符（doi）一起发布，并在会议和培训活动中展示。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。

The climate crisis and its human impact have created an urgent need to curate and analyze a wide range of geosciences data. Characterizing geomaterials in terms of their microstructural and transport properties is crucial for Earth system understanding and for sustainable resource management. The structure and composition of soil play a foundational role in plant, microbial, and agricultural ecosystems. Deeper below the soil, rock microstructure and mineral heterogeneity are critical to understanding fluid/solid reactions to improve groundwater resources management, carbon sequestration, rare-earth mineral recovery, and contaminant transport. Modern 3D imaging provides a window to the microstructure of soil and rocks; recent advances in machine learning and simulation can improve our understanding of how these materials influence the world around us. A wealth of volumetric datasets of geomaterials at different length scales are available, but most are not broadly accessible due to gaps in the infrastructure required to curate and analyze them. As computational and data workflows become increasingly complex, there is a clear need to develop and maintain reproducible and scalable open science infrastructure to support scientific communities. This project will create cloud-based open science tools for curation and analysis of geomaterial image data. The benefits will reach geoscientists as well as a wide-ranging community of scientists working on diverse porous materials. Developed modules will be directly applicable to materials science (solid foams), chemical engineering (fuel cells, electrodes), and medicine (bones, cell biology, micro-vascular networks). The tool suite will be deployed with corresponding training and educational materials through a repository, Digital Rocks Portal (DRP), which has curated data available for reuse. Resources will be open and modular so users can adapt and implement them in diverse computing environments. Analysis workflows will be tested using image data across multiple scales from an ocean drilling project (NSF award 2140397). Use cases will be redistributed among the wide community of users of the NSF-sponsored University of Texas High-Resolution X-ray Computed Tomography facility (UTCT). Students and researchers working on this project will be exposed to interdisciplinary work combining geology, engineering, data curation and computer science. The DRP will continue to be used in courses at multiple universities, and the tools created will be published with digital object identifiers (DOIs) and presented at conferences and training events.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.