RCN: Building a Sediment Experimentalist Network (SEN)

RCN：建立沉积物实验员网络（SEN）

• 批准号: 1324760
• 负责人: Wonsuck Kim
• 金额: $ 44.06万
• 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: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1324760&HistoricalAwards=false
• 关键词: RCN; Building; Sediment; Experimentalist; Network

Our dynamic landscape evolves as sediment travels a path through mountain slopes, rivers, and deltas in events like landslides, floods, and hurricanes. In nature, these processes typically occur over vast length and time scales, making them difficult to study directly. Laboratory sedimentary experiments enable improved control and observation of these Earth-surface processes. However, such investigations often occur in isolation, and there is little if any coordination for our scientific community. We will form a Sediment Experimentalist Network (SEN) to help integrate the efforts of sediment experimentalists and build a knowledge base for guidance on best practices for data collection and management. We will also facilitate cross-institutional collaborative experiments, and communicate with and educate the research community about data and metadata standards for sediment-based experiments. This effort will improve the efficiency and transparency of sedimentary research for field geologists and modelers as well as experimentalists.Major outcomes from SEN will be 1) creation of a Knowledge Base (SEN-KB), 2) coordination of Experimental Collaboratories (SEN-EC), and 3) integration of Educational efforts and Data standards development (SEN-ED) with tools for propagating new technology and methods. SEN-KB will be a collection of online resources for management and discovery of experimental data, metadata, analysis tools, methodologies, and other user-driven needs. SEN-EC will pilot infrastructure to foster multi-laboratory collaborations on experiments addressing broad and interdisciplinary grand challenges that are difficult to solve in a single laboratory: 1) extrapolation of experiments to natural systems and theory, 2) comparability of experimental results from disparate facilities, and 3) decoupling of external versus intrinsic processes observed in experiments. SEN-ED will provide training for data management through workshops and outreach for collecting and sharing experimental data. The project will facilitate access and use of new and existing data for a wide range of users in the experimentalist community and beyond toward modelers and field geologists.

随着沉积物在山体滑坡，洪水和飓风等活动中，我们的动态景观演变在穿越山坡，河流和三角洲的道路上。在自然界中，这些过程通常发生在巨大的时间和时间尺度上，因此很难直接学习。 实验室沉积实验可以改善对这些地面过程的控制和观察。但是，这种调查通常是孤立地进行的，我们的科学界几乎没有任何协调。我们将形成一个沉积物实验者网络（SEN），以帮助整合沉积物实验者的努力，并为数据收集和管理的最佳实践提供知识库。我们还将促进跨机构的协作实验，并与研究社区进行并教育基于沉积物实验的数据和元数据标准。这项努力将提高沉积研究人员对现场地质学家和建模者的效率和透明度。 SEN-KB将是用于管理和发现实验数据，元数据，分析工具，方法和其他用户驱动需求的在线资源的集合。 SEN-EC将试点基础设施，以促进针对单个实验室中难以解决的广泛而跨学科的宏伟挑战的实验性合作：1）将实验推送到自然系统和理论上，2）在不同的设施中实验结果的可比性，以及3）在外部与固定过程中脱近实验的实验。 SEN-ED将通过研讨会和外展为数据管理提供培训，以收集和共享实验数据。该项目将促进实验者社区以及超越建模者和现场地质学家的广泛用户的新数据和现有数据的访问和使用。