BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data Revolution

BD 中心：协作提案：中西部：中西部大数据中心：建设社区以利用数据革命

• 批准号: 1916425
• 负责人: Hosagrahar Jagadish
• 金额: $ 19.99万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1916425&HistoricalAwards=false
• 关键词: BD; Hubs; Collaborative; Proposal; Midwest

This project builds on a prior Midwest Big Data Hub effort. In 2015 stakeholders in the Midwest region of the United States formed a consortium of partners and working groups called the Midwest Big Data Hub (MBDH). MBDH aimed to help member organizations working in Big Data coordinate current activities and launch new collaborative projects. The project included stakeholders in the twelve states of the Midwest Census region (Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, and Wisconsin) and six leading universities that support hundreds of researchers, technologists, and students. This hub provides a basis for collaboration and outreach that increases the potential for benefitting society. The current award is a collaboration among five academic sites (Indiana University, Iowa State University, UIUC/NCSA, the University of Michigan, the University of North Dakota, and the University of Minnesota - Twin Cities). The project focuses on priority areas that are important to the region and can also be influential on the national stage. - The five thematic areas of focus, and the institutional partner leading that thematic area, are: Digital Agriculture (led by Iowa State); Smart, Connected, and Resilient Communities (Indiana University); Water Quality (University of Minnesota); Advanced Materials and Manufacturing (UIUC); and Health and Biomedicine (University of Michigan). - Three cross-cutting areas that are emphasized across the project are: data science education and workforce development; cyberinfrastructure, data access and use; and communication and community development.The priority areas have regional relevance and also have the prospect for integration into societal contexts at the national level. The overall goal is to enable the use of existing and emerging cyberinfrastructure and best practices to improve access to and use of data. The project plans to reach out to the Midwest community at large and to connect people, resources, and organizations. Ties to Big Data Hubs in three other regions provide a means to advance knowledge across these fields at the national level.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目建立在先前中西部大数据中心的基础上。2015年，美国中西部地区的利益相关者组成了一个由合作伙伴和工作组组成的联盟，称为中西部大数据中心（MBDH）。MBDH旨在帮助从事大数据工作的成员组织协调当前活动并启动新的协作项目。该项目包括中西部人口普查地区12个州（伊利诺伊州、印第安纳州、爱荷华州、堪萨斯州、密歇根州、明尼苏达州、密苏里州、内布拉斯加州、北达科他州、俄亥俄州、南达科他州和威斯康星州）的利益相关者和六所一流大学，这些大学为数百名研究人员、技术人员和学生提供支持。该中心为协作和拓展提供了基础，从而增加了造福社会的潜力。目前的奖项是由五个学术机构（印第安纳大学、爱荷华州立大学、UIUC/NCSA、密歇根大学、北达科他州大学和明尼苏达大学双城分校）合作颁发的。该项目侧重于对该区域具有重要意义并可在国家舞台上产生影响的优先领域。-五个重点专题领域和领导该专题领域的机构合作伙伴是：数字农业（由爱荷华州立大学领导）；智能、互联和弹性社区（印第安纳大学）；水质（明尼苏达大学）；先进材料与制造（UIUC）；健康与生物医学（密歇根大学）。-整个项目强调的三个交叉领域是：数据科学教育和劳动力发展；网络基础设施、数据访问和使用；以及沟通和社区发展。这些优先领域具有区域相关性，也具有在国家一级融入社会环境的前景。总体目标是利用现有和新兴的网络基础设施和最佳实践来改善数据的访问和使用。该项目计划扩大到中西部社区，并将人员、资源和组织联系起来。与其他三个地区的大数据中心的联系提供了在国家层面上推进这些领域知识的手段。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Transfusion-associated hyperkalemia in pediatric population: Analyses for risk factors and recommendations.

• DOI: 10.1111/trf.17135
• 发表时间: 2022-12
• 期刊: TRANSFUSION
• 影响因子: 2.9
• 作者: Yamada, Chisa;Edelson, Maureen F.;Lee, Angela C.;Saifee, Nabiha H.;Dinov, Ivo D.
• 通讯作者: Dinov, Ivo D.