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
基本信息
- 批准号:1339793
- 负责人:
- 金额:$ 43.39万
- 依托单位:
- 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:
- 关键词:
项目摘要
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).
临界区(CZ)科学界负责整合来自众多学科的理论、模型和数据,这些学科共同研究地球表面的过程。临界区是地球的可渗透近表面层--从植被冠层的大气到活跃循环的地下水的下界。临界区是国家研究委员会在《地球科学中的基础研究机遇》(2001年)报告中创造的一个术语,目的是强调对地球上的S表面的地球带进行彻底的多学科研究的新方法的必要性,这对维持地球上的陆地生命至关重要。2013年1月,CZ社区的103名成员参加了CZ-EarthCube领域研讨会(国家科学基金会奖#1252238),以确定CZ社区的关键科学驱动因素、关键的计算和信息技术(“网络”)挑战和关键的网络需求的优先顺序。他们确认,临界区科学界的中心科学挑战是通过理论-模型-数据融合的方法发展出临界区的“大统一理论”。工作参与者一致表示,这种方法缺少的关键需求是未来的网络基础设施,用于无缝地进行4D可视化探索,整合与关键地带结构和功能相关的所有生物和地球科学学科的知识(数据、模型输出和内插),类似于今天的S使用谷歌地球轻松探索历史卫星图像和地球表面照片的能力。这个项目朝着满足这一需求迈出了第一大步。这个项目的总体目标是与CZ科学和更广泛的社区,包括自然资源管理者和利益相关者,共同开发一个基于Web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,跨越实验和观测设计。我们的项目目标是:(1)动员CZ和更广泛的社区共同开发和部署大型CZ软件堆栈;(2)开发大型CZ门户Web应用程序,以供科学家、资源经理、教育工作者和公众直观、高性能地发现、可视化、访问和发布数据;(3)开发大型CZ工具箱,使精通网络的CZ科学家能够访问大型CZ应用编程接口(API);以及(4)开发大型CZ中央软件堆栈,将为多个关键区域域开发的数据系统连接到单个元数据目录中。整个大型CZ软件系统将作为完全开源软件项目的模块化套件在公共存储库上开发。它将围绕一个新的观测数据模型2.0版(ODM2)建立,该版本由大型CZ项目团队的成员开发,社区投入,在单独的资助下(美国国家科学基金会奖#1224638)。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ilya Zaslavsky其他文献
Community utilization of a co-created COVID-19 testing program in a US/Mexico border community
- DOI:
10.1186/s12889-024-20527-4 - 发表时间:
2024-11-18 - 期刊:
- 影响因子:3.600
- 作者:
Breanna J. Reyes;Stephenie Tinoco Calvillo;Arleth A. Escoto;Angel Lomeli;Maria Linda Burola;Luis Gay;Ariel Cohen;Isabel Villegas;Linda Salgin;Kelli L. Cain;Dylan Pilz;Paul Watson;Bill Oswald;Cesar Arevalo;Jessica Sanchez;Marjorie Richardson;Jennifer Nelson;Pricilla Villanueva;Garrett McGaugh;Ilya Zaslavsky;Robert H. Tukey;Nicole A. Stadnick;Borsika A. Rabin;Louise C. Laurent;Marva Seifert - 通讯作者:
Marva Seifert
Service-Oriented Architecture
- DOI:
10.1007/978-3-319-17885-1_1199 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Ilya Zaslavsky - 通讯作者:
Ilya Zaslavsky
Looking back and to the future of the INCF Digital Atlasing Program
INCF 数字地图计划的回顾和未来
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Jyl Boline;Mike Hawrylycz;Ilya Zaslavsky;INCF Digital Atlasing Standards;Waxholm Space;and Digital Atlasing Infrastructure Task Forces - 通讯作者:
and Digital Atlasing Infrastructure Task Forces
Ilya Zaslavsky的其他文献
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{{ truncateString('Ilya Zaslavsky', 18)}}的其他基金
Collaborative Research: EAGER: IMPRESS-U: Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine (GRANDE-U)
合作研究:EAGER:IMPRESS-U:通过乌克兰综合数据探索进行地下水恢复力评估 (GRANDE-U)
- 批准号:
2409395 - 财政年份:2024
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
Conference: Towards a mass shooting early alert network by modeling 9-1-1 data streams
会议:通过对 9-1-1 数据流建模建立大规模枪击早期警报网络
- 批准号:
2330460 - 财政年份:2023
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
Evaluating COVID-19 Mitigation Strategies in Schools with a Spatially-Explicit Agent-Based Model of Infection Dynamics
使用基于空间显式代理的感染动态模型评估学校的 COVID-19 缓解策略
- 批准号:
2139740 - 财政年份:2021
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
EarthCube Building Blocks: Collaborative Proposal: EarthCube Data Discovery Hub
EarthCube 构建模块:协作提案:EarthCube 数据发现中心
- 批准号:
1639764 - 财政年份:2016
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
EarthCube IA: Collaborative Proposal: Interdisciplinary Earth Data Alliance as a Model for Integrating Earthcube Technology Resources and Engaging the Broad Community
EarthCube IA:协作提案:跨学科地球数据联盟作为整合 Earthcube 技术资源和广泛社区参与的模型
- 批准号:
1540945 - 财政年份:2015
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
EarthCube Building Blocks Collaborative Proposal: Digital Crust ? An Exploratory Environment for Earth Science Research and Learning
EarthCube 构建块协作提案:数字地壳?
- 批准号:
1440301 - 财政年份:2014
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
EAGER: Development of a Novel Online Visual Survey Data Analysis Tool and Assessment of its Capabilities to Enhance Learning of Quantitative Research Methods
EAGER:开发新型在线视觉调查数据分析工具并评估其增强定量研究方法学习的能力
- 批准号:
1443082 - 财政年份:2014
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
EarthCube Building Blocks: Community Inventory of EarthCube Resources for Geoscience Interoperability (CINERGI)
EarthCube 构建模块:用于地球科学互操作性的 EarthCube 资源社区清单 (CINERGI)
- 批准号:
1343816 - 财政年份:2013
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
EarthCube Conceptual Design: Enterprise Architecture for Transformative Research and Collaboration Across the Geosciences
EarthCube 概念设计:跨地球科学领域变革性研究与协作的企业架构
- 批准号:
1343813 - 财政年份:2013
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
EAGER: Readiness of Disciplinary Data Systems for Cross-Domain Interoperability within a Standards-Based EarthCube Reference Framework
EAGER:学科数据系统已准备好在基于标准的 EarthCube 参考框架内实现跨域互操作性
- 批准号:
1238420 - 财政年份:2012
- 资助金额:
$ 43.39万 - 项目类别:
Standard Grant
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