Data-Intensive Science Workshops, to be held Sept. 19 to 20, 2010, Seattle, WA; and Mar 20 to 21, 2011, Washington DC

数据密集型科学研讨会，将于 2010 年 9 月 19 日至 20 日在华盛顿州西雅图举行；

• 批准号: 1045040
• 负责人: Eugene Kolker
• 金额: $ 9万
• 依托单位: Seattle Children's Hospital
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1045040&HistoricalAwards=false
• 关键词: Data; Intensive; Science; Workshops; held

The Seattle Children's Hospital is awarded a grant to conduct two workshops that will address the opportunities offered by cloud computing to confront the task of uncovering scientific knowledge from enormous amounts of data generated by biological research. The workshop goals are responsive to the NSF strategic vision on Cyberinfrastructure Framework for 21st Century Science and Engineering, which challenges the community to develop and sustain the necessary cyberinfrastructure capable of enabling science and engineering in the 21st century. Cloud computing offers an unprecedented opportunity to address the challenges of this data bottleneck and open up a new era in Data-Intensive Science (DIS). The two workshops will bring practitioners in biological informatics together to discuss challenges, opportunities and strategies in order to propose short- and long-term strategies to take on these challenges. There is a significant and very timely potential for widespread applicability in that there are many disciplines that now routinely generate data sets that overwhelm storage and analysis infrastructures. The workshops will showcase not only the communities and their challenges, but, more importantly, address how best to meet those challenges. The workshops will connect computational, data analysis, and inter-disciplinary research communities, including researchers, analyzers, developers, educators, community and tribal leaders, scientific administrators, and policymakers. This will enable both high-level (strategic) and specific (operational) discussions and developments of the user requirements, user-based evaluations, and standardized development with broad impact beyond the particular community challenges. Cloud computing can have a major impact at helping four main types of diversity issues and institutions. First, clouds have the potential to allow access to extensive compute resources to research groups from all sizes of institutes, but particularly the small to mid-sized institutes that cannot afford to increase their local compute infrastructure. Similarly, secondly, minority-serving institutes (e.g. Howard University) and, thirdly, gender-serving institutions (e.g. Wellesley College) can take advantage of a common resource to boost their compute capabilities. Fourth, young investigators can have ready access to resources outside of their current support levels while more senior investigators can adapt to the increased need for compute resources in their field. These workshops will be held in September 19-20, 2010 (Seattle, WA; Seattle Children's Research Institute) and March 20-21, 2011 (Washington, D.C.; J. Craig Venter Institute). Further information on the workshops and their outcomes will be available via the PI's lab home page at http://kolkerlab.proteinspire.org/.

西雅图儿童医院获得了一笔赠款，用于举办两个研讨会，这些研讨会将讨论云计算提供的机会，以面对从生物研究产生的大量数据中发现科学知识的任务。研讨会的目标是响应NSF的战略愿景网络基础设施框架的21世纪世纪科学和工程，这挑战社会发展和维持必要的网络基础设施，使科学和工程在21世纪世纪。云计算为解决这一数据瓶颈的挑战提供了前所未有的机会，并开辟了数据密集型科学（DIS）的新时代。这两个讲习班将使生物信息学从业人员聚集一堂，讨论挑战、机遇和战略，以便提出应对这些挑战的短期和长期战略。有一个重要的和非常及时的广泛适用性的潜力，因为有许多学科，现在例行生成的数据集，压倒存储和分析基础设施。研讨会不仅将展示社区及其挑战，更重要的是，讨论如何最好地应对这些挑战。这些研讨会将连接计算，数据分析和跨学科研究社区，包括研究人员，分析师，开发人员，教育工作者，社区和部落领袖，科学管理人员和政策制定者。这将使高级别（战略）和具体（业务）的讨论和用户需求的发展，基于用户的评价和标准化的发展具有广泛的影响，超越特定的社区挑战。云计算可以在帮助四种主要类型的多样性问题和机构方面产生重大影响。首先，云计算有可能允许各种规模的研究机构的研究小组访问广泛的计算资源，特别是那些无力增加本地计算基础设施的中小型研究机构。同样，第二，为少数群体服务的机构（如霍华德大学）和第三，为性别平等服务的机构（如韦尔斯利学院）可以利用共同资源提高其计算能力。第四，年轻的调查人员可以随时获得其目前支持水平之外的资源，而更资深的调查人员可以适应其领域对计算资源的日益增长的需求。这些讲习班将于2010年9月19日至20日（华盛顿州西雅图;西雅图儿童研究所）和2011年3月20日至21日（华盛顿，华盛顿特区;克雷格文特尔研究所）。 有关研讨会及其成果的更多信息，请访问PI实验室主页http://kolkerlab.proteinspire.org/。