Computing and Methods Core

计算和方法核心

• 批准号: 8932732
• 负责人: Julien O Teitler
• 金额: $ 6.79万
• 依托单位: COLUMBIA UNIV NEW YORK MORNINGSIDE
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8932732
• 关键词: Accounting; Address; Applications Grants; Archives; Big Data; Budgets; Censuses; Collaborations; Computer software; Confidentiality; Consult; Consultations; Cost Savings; Cost Sharing; Data; Data Analyses; Data Storage and Retrieval; Development; Development Plans; Educational workshop; Environment; Equipment; Faculty; Foundations; Funding; Genetic study; High Performance Computing; Housing; Imagery; Journals; Longitudinal Surveys; Manuscripts; Maps; Methodology; Methods; National Institute of Child Health and Human Development; Neighborhoods; New York; New York City; Paper; Peer Review; Personal Satisfaction; Play; Policies; Population Research; Population Sciences; Preparation; Price; Productivity; Protocols documentation; Publishing; Research; Research Design; Research Infrastructure; Research Personnel; Robin bird; Sampling; Scholarship; Secure; Services; Social Sciences; Study Subject; Surveys; System; Testing; Training Support; Universities; Work; abstracting; cloud based; data sharing; design; discount; experience; falls; human subject; meetings; member; repaired; social science research; symposium; tool development; virtual; web site

Abstract Computing and Methods Core The Computing and Methods Core (CMC) contributes to achieving CPRC specific aims by providing a variety of computing and methods services that are designed to increase the productivity, efficiency, and quality of CPRC scholarship. These services include: 1) Cross-Institutional Collaboration. The CMC, along with the Administrative Core, plays a key role in constructing collaborations with other campus units that has resulted in major improvements in the University's IT infrastructure in High Performance Computing, facilities for the analysis of sensitive and restricted data, wrap-around desktop support services and a shared research data storage initiative. 2) High Performance Computing (HPC). The state of high performance computing that meets the needs of population research at Columbia was greatly advanced with the CMC's initiation of a high performance computing cluster in 2011. In the two years since Hotfoot was launched, 29 CPRC affiliates have opened accounts and 11 articles from studies that relied on Hotfoot were published in peer-reviewed journals. 3) Secure Computing Environment. The CMC established a Secure Data Enclave (SDE) service for the CPRC and its partners in fall 2012. The SDE is a virtual computing environment that provides secure remote access to restricted data and statistical applications. 4) Desktop Support. The CMC now provides wrap-around desktop support for its members. 5) Data Storage. In collaboration with CUIT, SSCC, and Columbia's Shared Research Computing Advisory Policy Committee (SRCPAC), the CPRC's CMC has developed an in-house platform for data sharing and analysis, which is more versatile and provides a more secure environment than cloud-based data storage. 6) GIS Services. The GIS consulting service includes support for study design and grant application preparation, advice on the analysis of spatial and neighborhood data and the development of maps and visualizations for scientific manuscripts, seminars and websites. 7) Methodological Consultation. The co-directors of the CMC connect researchers, including junior faculty, in need of methodological consultation with CPRC faculty who have the relevant expertise. 8) Methodology Workshops. The CPRC has held five methodological workshops. Two new methodology conferences are being planned: one in 2015 on Methodological Issues in the Study of Genetics and Population Science and one in 2016 on Big Data. Both will promote the application of new methods to population science. 9) Robin Hood Survey Lab. The Robin Hood funded New York City Longitudinal Survey of Well-being is an ongoing panel study of New Yorkers that includes an experimental sample allowing CPRC investigators to test questions and survey research approaches.

抽象计算与方法核心 计算和方法核心（CMC）通过提供一个 各种计算和方法服务，旨在提高生产力、效率和 CPRC奖学金的质量这些服务包括： 1)跨机构合作。中央军委与行政核心沿着， 与其他校园单位建立合作关系，从而大大改善了 大学的IT基础设施在高性能计算，设施的分析敏感和 受限数据、环绕式桌面支持服务和共享研究数据存储举措。 2)高性能计算（HPC）。满足需求的高性能计算状态 人口研究在哥伦比亚是大大推进与CMC的高性能的启动， 2011年的计算集群。自Hotfoot推出以来的两年中，已有29家CPRC附属机构开业 在同行评审期刊上发表了11篇关于Hotfoot的研究报告和文章。 3)安全计算环境。CMC建立了一个安全的数据飞地（Secure Data Enclave，缩写为EEE）服务， 2012年秋季，CPRC及其合作伙伴。虚拟机是一个虚拟计算环境，它提供安全的远程 获取受限制的数据和统计应用程序。 4)桌面支持。CMC现在为其成员提供环绕式桌面支持。 5)数据存储。与CUIT、SSCC和哥伦比亚的共享研究计算合作 咨询政策委员会（SRCPAC），CPRC的CMC开发了一个内部数据共享平台 和分析，它比基于云的数据存储更通用，并提供更安全的环境。 6)GIS服务。GIS咨询服务包括研究设计和拨款申请支持 准备，就空间和邻里数据的分析和地图的开发提供咨询意见， 科学手稿、研讨会和网站的可视化。 7)方法协商。CMC的联合主任将研究人员联系起来， 教师，需要与CPRC教师谁拥有相关的专业知识的方法咨询。 8)方法讲习班。CPRC举办了五次方法研讨会。两种新方法 正在计划召开会议：2015年的一次会议是关于遗传学和人口研究的方法问题 2016年，科学和大数据。这两个项目都将促进人口科学新方法的应用。 9)罗宾汉调查实验室罗宾汉资助的纽约市幸福纵向调查 是一项正在进行的纽约人小组研究，其中包括一个实验样本，允许CPRC调查人员 测试问题和调查研究方法。