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

合作研究：GEO OSE 第 2 轨：可持续开放科学工具使 3D 岩土材料数据的使用民主化

• 批准号: 2324786
• 负责人: Masa Prodanovic
• 金额: $ 117.58万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324786&HistoricalAwards=false
• 关键词: Collaborative; Research; GEO; OSE; Track

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.

气候危机及其人为影响迫切需要策划和分析广泛的地球科学数据。用微观结构和运输特性来表征地貌对于地球系统的理解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本作用。在土壤下，岩石微结构和矿物质异质性更深入，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的运输至关重要。现代3D成像为土壤和岩石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周围世界的理解。可以提供大量的土地材料的体积数据集，但由于基础架构中的差距需要策划和分析它们，因此大多数人无法广泛访问。随着计算和数据工作流程变得越来越复杂，显然需要开发和维持可再现和可扩展的开放科学基础设施以支持科学社区。该项目将创建基于云的开放科学工具，用于策展和分析地材料图像数据。这些好处将吸引地球科学家以及从事各种多孔材料的广泛科学家社区。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）和药物（骨骼，细胞生物学，微血管网络）。该工具套件将通过相应的培训和教育材料通过存储库Digital Rocks Portal（DRP）部署，该存储库策划了可重用的数据。资源将是开放和模块化的，因此用户可以在不同的计算环境中调整和实现它们。分析工作流将使用来自海洋钻探项目的多个量表（NSF奖2140397）的图像数据进行测试。用例将在德克萨斯州NSF赞助大学高分辨率X射线计算机断层扫描设施（UTCT）的广泛用户中重新分布。从事该项目的学生和研究人员将接触结合地质，工程，数据策展和计算机科学的跨学科工作。 DRP将继续在多个大学的课程中使用，创建的工具将与数字对象标识符（DOIS）一起发布，并在会议和培训活动中提出。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来支持的。