Collaborative Research: GEO OSE Track 2: Building a multiscale community-led ecosystem for crustal geology through the integration of Macrostrat and StraboSpot

合作研究：GEO OSE 第 2 轨道：通过 Macrostrat 和 StraboSpot 的集成构建多尺度社区主导的地壳地质生态系统

• 批准号: 2324579
• 负责人: Daven Quinn
• 金额: $ 70.03万
• 依托单位: University of Wisconsin-Madison
• 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: 2023-12-01 至 2026-11-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324579&HistoricalAwards=false
• 关键词: Collaborative; Research; GEO; OSE; Track

Understanding the form and structure of the rocks that make up the Earth’s crust provides a window into Earth’s evolution and a structural framework in which to situate measurements of its properties and past environment. Macrostrat and StraboSpot are two software platforms and data systems that provide tools for tracking crustal rocks. Macrostrat provides a broad framework in which to integrate crustal stratigraphy (rocks organized by age) and mapping (rocks in spatial context) into a multiscale descriptive model of the crust. StraboSpot provides mobile apps and tools to collect field- and sample-based datasets, and a data system in which to store and access them. The platforms are complementary in their aims and function: Macrostrat lacks effective tools for users to input geologic maps and stratigraphic columns, and StraboSpot lacks a framework for synthesizing data from many researchers. This project integrates the two data systems to build user-facing functionality for data ingestion and contextualization, allowing data collected by individual researchers to contribute to integrative crustal models. Such synthesized results will contribute to a publicly accessible data framework that is used by hundreds of thousands of geologists and enthusiasts each year.Macrostrat and StraboSpot are established geoscience data systems that each support a broad community ecosystem of users. Macrostrat has revolutionized the digital delivery of geologic maps by integrating hundreds of isolated map publications into a single harmonized multiscale product. The StraboSpot app and data infrastructure supports the capture of new geologic data while preserving documentation elements (e.g., photos, measurements) that have not been previously carried through the mapping pipeline. This project integrates these data systems by building data pipelines from StraboSpot to Macrostrat for geologic maps, stratigraphic columns, and geological cross-sections. The software teams and approaches that contribute to these platforms will also be integrated, increasing efficiency and reducing duplicate work. Linking the data-capture capabilities of StraboSpot with Macrostrat’s sophisticated geological framework will harness the output of geological field studies to produce multiscale models of Earth’s crustal framework. This integration will address the fundamental data limitation of crustal research, which inhibits characterizing the upper crust in four dimensions (3 spatial dimensions and time) and impacts the effectiveness of geological process modeling.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.

了解构成地壳的岩石的形式和结构为了解地球的演化提供了一个窗口，并为测量地球的性质和过去的环境提供了一个结构框架。 Macrostrat 和 StraboSpot 是两个软件平台和数据系统，提供跟踪地壳岩石的工具。 Macrostrat 提供了一个广泛的框架，可将地壳地层学（按年龄组织的岩石）和绘图（空间背景下的岩石）整合到地壳的多尺度描述模型中。 StraboSpot 提供移动应用程序和工具来收集基于现场和样本的数据集，以及用于存储和访问它们的数据系统。这些平台的目标和功能是互补的：Macrostrat 缺乏供用户输入地质图和地层柱的有效工具，而 StraboSpot 缺乏综合许多研究人员数据的框架。该项目集成了两个数据系统，以构建面向用户的数据摄取和情境化功能，使个别研究人员收集的数据能够为综合地壳模型做出贡献。 Such synthesized results will contribute to a publicly accessible data framework that is used by hundreds of thousands of geologists and enthusiasts each year.Macrostrat and StraboSpot are established geoscience data systems that each support a broad community ecosystem of users. Macrostrat 通过将数百个孤立的地图出版物集成​​到一个统一的多比例产品中，彻底改变了地质图的数字交付方式。 StraboSpot 应用程序和数据基础设施支持捕获新的地质数据，同时保留以前未通过测绘管道进行的文档元素（例如照片、测量结果）。该项目通过构建从 StraboSpot 到 Macrostrat 的地质图、地层柱和地质剖面数据管道来集成这些数据系统。为这些平台做出贡献的软件团队和方法也将被集成，从而提高效率并减少重复工作。将 StraboSpot 的数据捕获能力与 Macrostrat 复杂的地质框架相结合，将利用地质现场研究的成果来生成地壳框架的多尺度模型。这种整合将解决地壳研究的基本数据限制，该限制阻碍了在四个维度（3 个空间维度和时间）上描述上地壳的特征，并影响地质过程建模的有效性。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。