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Earthcube RCN: iSAmplEs: The Internet of Samples in the Earth Sciences

Earthcube RCN: iSAmplEs: The Internet of Samples in the Earth Sciences
Earthcube RCN:iSAmplEs:地球科学中的样本互联网
批准号:
1440351
负责人:
Kerstin Lehnert
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-09-01 至 2019-08-31

项目摘要

项目成果

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中文摘要
翻译
在许多地球科学学科中,研究依赖于在地球上、地下和地下收集的代表性样本的可用性。在地球表面,在月球和太空中,或在实验中产生。这些样本是研究的基本参考,以产生关于地球和整个宇宙的新知识,并更深入地了解创造和塑造它的过程,自然资源的可用性和自然灾害的风险。许多样品的采集成本高,难度大,是罕见的或独特的,不可替代的。利用信息技术和互联网使这些样本易于获取,确保对相关样本元数据的持续访问,允许在分布式数据基础设施中将物理对象与数字数据明确地链接起来,将对整个地球科学产生广泛的影响。它将为重新检查现有样本以应对新的社会问题、环境问题、科学解释和分析技术提供新的机会。这个协调网络的活动将允许领域科学家、策展人、计算机和信息科学家相互学习物理和数字样本和收集管理的要求,并阐明地球科学样本互联网的愿景和前进道路。EarthCube研究协调网络iSamplES(地球科学样本互联网)旨在推进创新网络基础设施的使用,将地球科学中的物理样本和样本收集与数字数据基础设施连接起来,以彻底改变其对科学的效用。这个RCN的最终目标是极大地改善物理样本的发现、访问、共享、分析和管理,以及他们的研究产生的数据,以造福科学和社会,作为地球立方体计划的一部分。为了实现这一目标,该项目将帮助建立、发展和培养领域科学家、样本存储库和集合管理员、计算机和信息科学家、软件开发人员和技术创新者参与和合作,以定义、阐明和解决物理样本作为数字数据和信息基础设施的关键组成部分的需求和挑战(主题1:社会化)。RCN将汇编有关现有资源(技术、架构、工具、概要、工作流程)的信息,这些信息有助于在现场、实验室、存储库、数据系统和科学出版物中管理样本、样本收集和基于样本的数据,并确定关键差距和需求(主题2:知识创造)。RCN将识别和促进样本识别、文档、引用、管理和整个地球科学界共享的最佳实践和标准,作为建立共享网络基础设施的基础(主题3:最佳实践)。
英文摘要
Across many Earth Science disciplines, research depends on the availability of representative samples collected above, at, and beneath Earth?s surface, on the moon and in space, or generated in experiments. These samples are fundamental references that are studied to generate new knowledge about the earth and the entire universe and a deeper understanding of the processes that created and shaped it, the availability of natural resources and the risk of natural hazards. Many samples have been collected at great cost and with substantial difficulty, are rare or unique and irreplaceable. The use of information technology and the internet to make these samples easily accessible, to ensure persistent access to relevant sample metadata, to allow unambiguous linking of the physical objects to the digital data in a distributed data infrastructure, will have a broad impact across the entire Earth Sciences. It will open new opportunities to reexamine existing samples in response to new societal issues, environmental concerns, scientific interpretations, and analytical techniques. The activities of this coordination network will allow domain scientists, curators, and computer and information scientists to learn from each other about the requirements of physical and digital sample and collection management and to articulate a vision of and a path forward toward an Internet of Samples in the Earth Sciences.The EarthCube Research Coordination Network iSamplES (Internet of Samples in the Earth Sciences) is intended to advance the use of innovative cyberinfrastructure to connect physical samples and sample collections across the Earth Sciences with digital data infrastructures to revolutionize their utility for science. The ultimate goal of this RCN is to dramatically improve the discovery, access, sharing, analysis, and curation of physical samples and the data generated by their study for the benefit of science and society as part of the EarthCube program. In order to work toward this objective, the project will help build, grow, and foster domain scientists, curators of sample repositories and collections, computer and information scientists, software developers and technology innovators to engage in and collaborate on defining, articulating, and addressing the needs and challenges of physical samples as a critical component of digital data and information infrastructures (theme 1: socialization). The RCN will compile information about existing resources (technologies, architectures, tools, profiles, workflows) that facilitate the management of samples, sample collections, and sample-based data in the field, in the lab, in repositories, in data systems and scientific publications, and identify critical gaps and needs (theme 2: knowledge creation). The RCN will recognize and promote best practices and standards for sample identification, documentation, citation, curation, and sharing across the entire Earth Science community as a foundation to building a shared cyber-infrastructure (theme 3: best practices).
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