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

该项目建立在中西部大数据中心之前的工作基础上。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财团，名为中西部大数据中心(MBDH)。MBDH旨在帮助大数据领域的成员组织协调当前的活动并启动新的合作项目。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)和6所顶尖大学的利益相关者，这些大学支持数百名研究人员、技术人员和学生。这一中心为协作和外联提供了基础，从而增加了造福社会的潜力。目前的奖项是由五个学术站点(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子城大学)合作设立的。该项目侧重于对该区域很重要并可能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(由爱荷华州领导)；智能、互联和有弹性的社区(印第安纳大学)；水质(明尼苏达大学)；先进材料和制造(UIUC)；以及卫生和生物医学(密歇根大学)。-在整个项目中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、数据获取和使用；以及通信和社区发展。优先领域具有区域相关性，也有可能融入国家一级的社会背景。总体目标是能够利用现有的和新出现的网络基础设施和最佳做法来改进数据的获取和使用。该项目计划接触到整个中西部社区，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为在国家层面上推动这些领域的知识提供了一种手段。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.