SAVI: Building a framework between the EU and the USA to harmonize data products relevant to global research infrastructures in the environmental field

SAVI：在欧盟和美国之间建立一个框架，以协调与环境领域全球研究基础设施相关的数据产品

• 批准号: 1321595
• 负责人: Henry Loescher
• 金额: $ 101.27万
• 依托单位: Battelle Memorial Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1321595&HistoricalAwards=false
• 关键词: SAVI; Building; framework; between; EU

Title: Collaborative Research: SAVI- Building a framework between the EU and the USA to harmonize data products relevant to global research infrastructures in the environmental field.This award is designated as a Science Across Virtual Institutes (SAVI) award and is co-funded by NSF's Office of International and Integrative Activities. Four U.S. environmental observatories (National Ecological Observatory Network (NEON), Ocean Observatories Initiative (OOI), Advanced Modular Incoherent Scatter Radar (AMISR) and collectively EarthScope, comprising USArray and the Plate Boundary Observatory (PBO), operated respectively by the Incorporated Research Institutions for Seismology (IRIS) and UNAVCO) are working together with their respective counterparts from the European Union on developing common data policies and standards relevant to global research infrastructures in the environment field. The project goals include developing new understanding through broad harmonization of data and constructing multi- discipline, synergistic data products that have wider societal importance. In addition, these activities will help the scientific community to better develop coupled models that better capture critical feedbacks and interactions of the earth system. These models are needed to help make these types of data more accessible to decision-makers at many levels. Linking these existing programs provides a unique opportunity for early career researchers and students to learn in a multi-disciplinary environment and to benefit not only from the U.S. participants but also their European counterparts. The observatories will be developing graduate and post-graduate courses and the workshops will seek to include early career scientists and students. The proposed activities will focus on addressing societally relevant challenges. Through case studies, ways of harmonizing data will be investigated with the goal of making the data from these observatories easier to include in effective decision-making. Disasters, carbon and water will likely be the first set of issues addressed.This program is creating opportunities for enhancing the career trajectories of a new generation of researchers in Europe and the U.S. The virtual institute is providing mechanisms for exposing early-career scientists to interdisciplinary, multi-institutional activities focused on environmental data and cyberinfrastructure; arming them with new scientific tools to address challenging questions in harmonizing environmental data to help in effective decision making; and showing them how international partnerships can help to solve global problems. It is recruiting a diverse set of U.S. and European students to create collaborative networks of environmental data and cyberinfrastructure experts across these countries.

标题：合作研究：SAVI-在欧盟和美国之间建立一个框架，以协调与环境领域全球研究基础设施相关的数据产品。该奖项被指定为跨虚拟研究所（SAVI）科学奖，由NSF的国际和综合活动办公室共同资助。四个美国环境观测站(国家生态观测站网络（NEON）、海洋观测站倡议（OOI）、先进模块化非相干散射雷达（AMISR）和EarthScope，包括USArray和板块边界观测站（PBO），分别由地震学联合研究机构（综合研究机构）和联安援助团运作的数据中心正在与欧洲联盟各自的对应机构合作，制定与环境领域全球研究基础设施有关的共同数据政策和标准。该项目的目标包括通过数据的广泛协调和构建具有更广泛社会重要性的多学科、协同数据产品来发展新的理解。此外，这些活动将有助于科学界更好地开发耦合模型，更好地捕捉地球系统的关键反馈和相互作用。需要这些模型来帮助决策者在许多层面上更容易地访问这些类型的数据。将这些现有项目联系起来，为早期职业研究人员和学生在多学科环境中学习提供了一个独特的机会，不仅可以从美国参与者那里受益，还可以从他们的欧洲同行那里受益。这些天文台将开发研究生和研究生课程，讲习班将设法包括早期职业科学家和学生。拟议的活动将侧重于解决与社会有关的挑战。通过案例研究，将研究协调数据的方法，目的是使这些观测站的数据更容易纳入有效的决策。灾害、碳排放和水资源可能是首先要解决的问题。该项目为提升欧美新一代研究人员的职业发展轨迹创造了机会。虚拟研究所为早期职业科学家提供了接触跨学科、多机构活动的机制，重点关注环境数据和网络基础设施；为他们提供新的科学工具，以解决在协调环境数据方面具有挑战性的问题，以帮助有效决策；并向他们展示国际伙伴关系如何有助于解决全球问题。它正在招募来自美国和欧洲的各种各样的学生，在这些国家建立环境数据和网络基础设施专家的协作网络。