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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

项目摘要

项目成果

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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察和实验产生广泛而巨大的影响。“组学”技术和方法正在被海洋科学研究界迅速采用和应用。“组学”正在广泛而有效地应用于分类群和生物地理学的分布图、时间序列分析和生物地球化学、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。快速发展的技术与指数级下降的成本相结合,使DNA测序“民主化”,并使个体研究人员能够生成大规模的海洋“基因组”数据集,并使整个海洋科学界能够共同努力。这些庞大的“基因组”数据集及其相关的元数据需要新的网络基础设施(CI)来协调和促进数据和元数据的访问、分析和建模。NSF EarthCube计划最近为领域研讨会征求了建议,“旨在倾听组成地球科学的最终用户群体的需求,并更好地理解数据科学如何帮助他们实现科学目标。”本次研讨会将汇集海洋科学家和计算机科学家,让他们了解并参与EarthCube的活动,目标如下:通知40-45名具有CI经验和/或需求的海洋科学家并让他们参与其中,并探索潜在的地球立方体机会,以帮助解决共同的CI挑战和海洋“组学”数据挖掘和分析的需求。告知10-15名生物信息学和CI科学家关于海洋“组学”在EarthCube活动中的需求、应用和机会,并让他们参与进来,帮助解决这些问题。研讨会的总体目标是为海洋“组学”科学家制定一套统一的CI需求,可以整合他们的数据和努力,并连接和参与领域和网络科学家,以寻求海洋“组学”分析的网络解决方案。知识价值:研讨会将吸引海洋科学界广泛的“经济”数据用户群体,他们将从理解新的网络基础设施可能性、设想当前和未来的解决方案以及参与EarthCube过程中受益。EarthCube网络科学界将受益于理解广泛、快速发展、多学科的海洋科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。例如,改善基础设施,以开发更准确的气候模型,将生物过程纳入其中,提高我们对环境变化影响的理解,扩大我们对极端栖息地生命的认识,更好地评估生态系统的结构、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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