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扇窗口，并提供了一个结构框架，以便对其性质和过去的环境进行测量。Macrostrat和StraboSpot是两个软件平台和数据系统，提供了跟踪地壳岩石的工具。宏观地层提供了一个广泛的框架，将地壳地层学（按年龄组织的岩石）和制图（空间背景下的岩石）整合到地壳的多尺度描述性模型中。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，以及存储和访问这些数据的数据系统。这两个平台在目标和功能上是互补的：Macrostrat缺乏用户输入地质图和地层柱的有效工具，而StraboSpot缺乏一个框架来综合来自许多研究人员的数据。该项目整合了两个数据系统，为数据摄取和情境化构建面向用户的功能，允许个人研究人员收集的数据为综合地壳模型做出贡献。这些综合结果将有助于形成一个可公开访问的数据框架，每年可供数十万地质学家和爱好者使用。Macrostrat和StraboSpot是已建立的地球科学数据系统，每个系统都支持广泛的用户社区生态系统。Macrostrat通过将数百个孤立的地图出版物集成到一个统一的多尺度产品中，彻底改变了地质图的数字交付。StraboSpot应用程序和数据基础设施支持捕获新的地质数据，同时保留以前没有通过测绘管道进行的文档元素（例如，照片，测量值）。该项目通过建立从StraboSpot到macrostrata的数据管道来整合这些数据系统，用于地质图、地层柱和地质剖面。为这些平台做出贡献的软件团队和方法也将被整合，从而提高效率并减少重复工作。将StraboSpot的数据捕获能力与Macrostrat的复杂地质框架联系起来，将利用地质实地研究的结果，产生地球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，限制了上地壳在四个维度（三个空间维度和时间维度）的表征，并影响了地质过程建模的有效性。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。