Collaborative Research: SI2-SSI: The Community-Driven BiG CZ Software System for Integration and Analysis of Bio- and Geoscience Data in the Critical Zone

合作研究：SI2-SSI：社区驱动的 BiG CZ 软件系统，用于整合和分析关键区域的生物和地球科学数据

• 批准号: 1339834
• 负责人: Anthony Aufdenkampe
• 金额: $ 136.61万
• 依托单位: Stroud Water Research Center
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-12-01 至 2017-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1339834&HistoricalAwards=false
• 关键词: Collaborative; Research; SI2; SSI; Community

The Critical Zone (CZ) science community takes as its charge the effort to integrate theory, models and data from the multitude of disciplines collectively studying processes on the Earth's surface. The Critical Zone is Earth's permeable near-surface layer - from the atmosphere at the vegetation's canopy to the lower boundary of actively circulating groundwaters. The Critical Zone was a term coined by the National Research Council's Basic Research Opportunities in the Earth Sciences (BROES) Report (2001) to highlight the imperative for a new approach to thoroughly multi-disciplinary research on the zone of the Earth?s surface that is critical to sustaining terrestrial life on our planet. In January 2013, 103 members of the CZ community met for the CZ-EarthCube Domain Workshop (NSF Award #1252238) to prioritize the CZ community's key science drivers, key computational and information technology ("cyber") challenges and key cyber needs. They identified that the central scientific challenge of the critical zone science community is to develop a "grand unifying theory" of the critical zone through a theory-model-data fusion approach. Work participants unanimously described that the key missing need of this approach was a future cyberinfrastructure for seamless 4D visual exploration of the integrated knowledge (data, model outputs and interpolations) from all the bio and geoscience disciplines relevant to critical zone structure and function, similar to today?s ability to easily explore historical satellite imagery and photographs of the earth's surface using Google Earth. This project takes the first "BiG" steps toward answering that need.The overall goal of this project is to co-develop with the CZ science and broader community, including natural resource managers and stakeholders, a web-based integration and visualization environment for joint analysis of cross-scale bio and geoscience processes in the critical zone (BiG CZ), spanning experimental and observational designs. Our Project Objectives are to: (1) Engage the CZ and broader community to co-develop and deploy the BiG CZ software stack; (2) Develop the BiG CZ Portal web application for intuitive, high-performance map-based discovery, visualization, access and publication of data by scientists, resource managers, educators and the general public; (3) Develop the BiG CZ Toolbox to enable cyber-savvy CZ scientists to access BiG CZ Application Programming Interfaces (APIs); and (4) Develop the BiG CZ Central software stack to bridge data systems developed for multiple critical zone domains into a single metadata catalog. The entire BiG CZ Software system will be developed on public repositories as a modular suite of fully open source software projects. It will be built around a new Observations Data Model Version 2.0 (ODM2) that is being developed by members of the BiG CZ project team, with community input, under separate funding (NSF Award #1224638).

关键区（CZ）科学界负责整合来自众多学科的理论，模型和数据，共同研究地球表面的过程。临界区是地球的可渗透近地表层-从大气中的植被冠层到活跃的地下水循环的下边界。临界区是由国家研究理事会的地球科学基础研究机会（BROES）报告（2001年）创造的一个术语，以强调一种新的方法对地球区域进行彻底的多学科研究的必要性。地球的表面对维持地球上的生命至关重要。2013年1月，CZ社区的103名成员参加了CZ-EarthCube领域研讨会（NSF奖#1252238），以优先考虑CZ社区的关键科学驱动因素，关键计算和信息技术（“网络”）挑战和关键网络需求。他们指出，临界区科学界的核心科学挑战是通过理论-模型-数据融合方法发展临界区的“大统一理论”。 工作参与者一致描述，这种方法的关键缺失需求是未来的网络基础设施，用于无缝4D可视化探索与关键区结构和功能相关的所有生物和地球科学学科的综合知识（数据，模型输出和插值），类似于今天？Google Earth能够轻松地探索历史卫星图像和地球表面的照片。 该项目的总体目标是与CZ科学界和更广泛的社区（包括自然资源管理者和利益相关者）共同开发一个基于网络的集成和可视化环境，用于联合分析临界区（BiG CZ）的跨尺度生物和地球科学过程，包括实验和观测设计。我们的项目目标是：（2）开发BiG CZ门户网站网络应用程序，以便科学家、资源管理人员、教育工作者和公众直观、高性能地基于地图发现、可视化、访问和发布数据;（3）开发BiG CZ接口，使精通网络的CZ科学家能够访问BiG CZ应用程序编程接口（API）;以及（4）开发BiG CZ Central软件栈，以将为多个关键区域域开发的数据系统桥接到单个元数据目录中。整个BiG CZ软件系统将在公共存储库上开发，作为完全开源软件项目的模块化套件。 它将围绕一个新的观测数据模型版本2.0（ODM 2）构建，该模型由BiG CZ项目团队成员开发，社区投入，单独资助（NSF奖#1224638）。