Sci-Tech Core-Population Dynamics Research Center

CIT核心项目摘要 根据这项P2C奖项，新重组的CIT核心的目标是支持创新人群 研究。CIT核心提供稳定的计算和信息技术基础设施， 安全、最先进，并适应PSC Research Associates和他们的 寻求创造新知识并解决人口健康、人口统计学和 人口科学。CIT核心与PSC Research Associates合作实施和开发 满足外部资助研究要求的高效方案，并促进 研究网络之间的协作和交流，包括数据收集和共享 保护数据安全。我们还将使用CIT核心来利用 PSC旨在更广泛地理解它们的含义和“大数据”的潜在应用。 在方案支助中心内管理计算机的责任，包括雇用、规划和协调 与SAS计算(SASC)的一个部门社会科学计算(SSC)共同共享服务。 因此，PSC能够利用SASC在设计和开发方面的专业知识和经验 维护计算机系统。事实证明，这是PSC集中资源的一种经济高效的方式 实施需要专门硬件的人口研究前沿倡议， 软件，或超越SSC提供的一般服务的人力资本。上面的关键服务 除人力资本外，还有：(1)统计服务器的管理和维护；(2)可用性 适应性强的多节点高性能计算集群；(3)支持桌面计算；(4) 保护数据管理和合规性；(5)存储和备份；(6)实现联网和 为各类研究项目提供协作；(7)提供增强能力的服务 支持研究人员跨越空间和时间进行交流和协作；以及(8)支持数据收集， 安全的数据共享，以及新的“大数据”努力。

CIT Core Project Summary The goal of the newly reconfigured CIT Core under this P2C award is to support innovative population research. The CIT Core provides a computing and information technology infrastructure that is stable, secure, and state-of-the-art and that adapts to the evolving needs of PSC Research Associates and their quest to create new knowledge and to solve real world problems in population health, demography, and the population sciences. The CIT Core works with PSC Research Associates to implement and develop efficient protocols that address the requirements of externally funded research and that facilitate collaboration and communication among research networks, including data collection and sharing of secure data. We will also use the CIT Core to harness the project-specific innovations underway in the PSC to create a wider understanding of their meaning and the potential application of “big data.” The responsibility of management of computing within the PSC, including hiring, planning and coordination of services, is jointly shared with Social Sciences Computing (SSC), a division of SAS Computing (SASC). The PSC has thus been able to take advantage of SASC's expertise and experience in designing and maintaining computing systems. It has proven a cost-effective way for the PSC to concentrate resources in the implementation of cutting-edge initiatives for population research requiring specialized hardware, software, or human capital that go beyond the general services provided by SSC. The key services above and beyond the human capital are: (1) management and maintenance of statistical servers; (2) availability of adaptable multi-node high-performance computing clusters; (3) support for desktop computing; (4) secure data management and compliance; (5) storage and backup; (6) enabling networking and collaboration for various types of research projects; (7) making available services that enhance the ability of researchers to communicate and collaborate across space and time; and (8) support for data collection, secure data sharing, and for new “big data” endeavors.