EAGER: Big Data Consulting Services and Training Center

AbstractThis Project将支持在格鲁吉亚大学（UGA）建立大数据咨询服务和培训中心。该中心的目标是为教师和学生提供基本的咨询和培训服务，以帮助他们更有效地满足他们的数据收集，处理，存储，访问，共享，策展和出版需求。该项目建议重点关注三个领域：1）高性能计算的使用; 2）数据管理; 3）跨学科协调。许多元素已经在UGA到位，以支持数据密集型研究。例如，格鲁吉亚高级计算资源中心（GACRC）和CUDA教学中心已经提供了资源和一些高性能计算的使用培训; UGA图书馆提供服务，帮助研究人员编写数据管理计划;有各种各样的校园和国家资源，研究人员可以使用他们的数据生成，分析和管理需求。然而，目前还没有一个信息交换所或协调组织，校园里的任何研究人员都可以加入，以便最好地将数据密集型方法纳入他们的研究。为了满足这些需求，该项目计划：形成一个由教师，管理人员，信息技术（IT）工作人员，图书馆员和学生组成的校园委员会。对园区进行调查，以便更好地了解数据管理需求。 访问那些使用大型，长期和/或结构复杂数据的个人，以更详细地了解他们的需求，并确定可供大数据用户使用的校园和国家资源。 然后，该项目将开发一套网络资源，既可以作为校园的中心资源，也可以作为进一步努力提高UGA网络基础设施能力的起点。最后，该项目将继续在该中心的主持下开展流行的大学范围内的“大数据”活动，以帮助围绕数据密集型研究进行沟通，协调和传播活动。

AbstractThis Project will support the establishment of a Big Data Consulting Services and Training Center at the University of Georgia (UGA). The goal of this center is to provide faculty and students with basic consultation and training services in order to help them more efficiently meet their data collection, processing, storage, access, sharing, curation, and publications needs. The project proposes to focus on three areas: 1) the use of high performance computing; 2) data management; and 3) cross-disciplinary coordination. Many of the elements are already in place at UGA to support data intensive research. For example, the Georgia Advanced Computing Resource Center (GACRC) and the CUDA Teaching Center already offer resources and some training on the use of high performance computing; the UGA Libraries offer services to help researchers write data management plans; and there are a variety of campus-wide and national resources that researchers can use for their data generation, analysis, and management needs. However, currently there is no clearinghouse or coordinating organization to which any researcher on campus can turn into in order to best incorporate data-intensive approaches into their research. To meet these needs, the project plans to: Form a campus-wide committee comprised of faculty, administrators, information technology (IT) staff, librarians, and students. Survey the campus in order to get a better understanding of data management needs. Visit with individuals who are working with data that are large, long-term, and/or structurally complex to learn about their needs in more detail and identify the campus and national resources that are available for big data users. The project will then develop a set of web resources that can serve as both a central resource for the campus and a starting point for further efforts to enhance UGA's cyberinfrastructure capabilities. Finally, the project will continue to conduct the popular university-wide "big data" events under the auspices of the center to aid in communicating, coordinating, and disseminating activity around data-intensive research.