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EarthCube Domain End-User Workshop: Engaging the Ocean Science -Omics Community to Archive, Access, and Analyze Massively Parallel Environmental Genomic Data

EarthCube Domain End-User Workshop: Engaging the Ocean Science -Omics Community to Archive, Access, and Analyze Massively Parallel Environmental Genomic Data
EarthCube 域最终用户研讨会:让海洋科学组学社区参与归档、访问和分析大规模并行环境基因组数据
批准号:
1341418
负责人:
Katrina Edwards
金额:
$9.49万
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
项目状态:
已结题
起止时间:
2013-07-15 至 2014-06-30

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中文摘要
翻译
基因组学、生物信息学和相关技术正在对海洋科学的观测和实验产生广泛而巨大的影响。“组学”技术和方法正迅速被海洋科学研究界采用。“组学”正广泛而有效地应用于生物分类和地理分布图绘制、时间序列分析和地球化学、区域过程研究、环境变化和人为影响评估以及生态系统建模等领域。快速发展的技术加上呈指数级下降的成本,使DNA测序“民主化”,并使研究人员个人能够生成大量的海洋“组学”数据集,并使整个海洋科学界能够开展协作。这些大规模的“组学”数据集及其相关的元数据需要新的网络基础设施(CI),可以协调和促进数据和元数据的访问,分析和建模。NSF EarthCube倡议最近征求了关于领域研讨会的建议,旨在倾听构成地球科学的最终用户群体的需求,并更好地了解数据支持的科学如何帮助他们实现科学目标。“这次研讨会将使海洋科学家和计算机科学家聚集在一起,向他们介绍和参与EarthCube的活动,其目标如下:通知并吸引40-45名具有CI经验和/或需求的海洋科学家,并探索潜在的地球立方体机会,以帮助解决海洋“组学”数据挖掘和分析的共同CI挑战和需求。向10-15名生物信息学和传播与信息科学家介绍海洋“组学”的需求和应用,以及EarthCube活动中的机会,并让他们参与进来,以帮助解决这些问题。并联系和吸引领域和网络科学家,为海洋“组学”分析寻求网络解决方案。研讨会将吸引海洋科学界广泛的“omic”数据用户群,他们将从理解新的网络技术中受益。基础设施的可能性,设想目前和未来的解决方案,以满足他们目前的需求,并参与地球立方进程。EarthCube网络科学界将受益于了解一个广泛、迅速发展的多学科海洋科学组学和环境数据用户群体的挑战和需求。更广泛的影响:为海洋“组学”科学家开发的网络基础设施有可能产生广泛的公众影响。例子包括改善基础设施,以开发更准确的气候模型,其中包括生物过程,提高我们对环境变化影响的理解,扩大我们对极端生境中生命的了解,以及更好地评估生态系统结构,功能和动态。
英文摘要
Genomics, bioinformatics, and allied technologies are having wide-sweeping and dramatic impact on observation and experimentation in ocean science. "Omics" technologies and approaches are being rapidly adopted and employed by the ocean science research community. "Omics" are being broadly and effectively used in areas that include mapping the distributions of taxa and biogeography, time series analyses and biogeochemistry, regional process studies, assessing environmental change and anthropogenic impacts, and ecosystem modeling. Rapidly evolving technologies combined with exponentially decreasing costs have "democratized" DNA sequencing and are enabling the generation of massive ocean "omic" datasets by individual researchers, and collaborative efforts by the ocean science community as a whole. These massive "omic" datasets and their associated metadata require new cyberinfrastructures (CI) that can coordinate and facilitate data and metadata access, analyses, and modeling. The NSF EarthCube initiative recently solicited proposals for domain workshops "designed to listen to the needs of the end-user groups that make up the geosciences and to understand better how data-enabled science can help them achieve their scientific goals." This workshop will bring together ocean scientists and computer scientists to inform and engage them about EarthCube activities with the following objectives:1. Inform and engage 40-45 ocean scientists with CI experience and/or needs, and explore potential Earth cube opportunities to help solve common CI challenges and needs for ocean "omic" data mining and analyses.2. Inform and engage 10-15 bioinformatic and CI scientists about ocean "omics" needs and applications and opportunities in EarthCube activities to help address them.The overall goal of the workshop would be to develop a set of unifying CI requirements of ocean "omic" scientists, that could integrate their data and efforts, and connect and engage both domain and cyber scientists to pursue cyber solutions for ocean "omics" analyses.Intellectual Merit :The workshop will engage of a broad "omic" data user group in the ocean science community that stands to benefit from understanding new cyber-infrastructure possibilities, envisioning present and future solutions to their current needs and engaging in the EarthCube process. The EarthCube cyberscience community will benefit from understanding the challenges and needs of a broad, rapidly evolving, multidisciplinary group of ocean science omic and environmental data users.Broader Impacts :Cyber-infrastructure developed for ocean "omic" scientists have potential for broad public impact. Examples include improved infrastructures to develop more accurate climate models that incorporate biological processes, improve our understanding of the effects of environmental change, expand our knowledge of life in extreme habitats, and better assess ecosystem structure, function and dynamics.
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