STATISTICAL COMPUTING CORE

统计计算核心

• 批准号: 8754136
• 负责人: Francesca Dominici
• 金额: $ 9.14万
• 依托单位: HARVARD SCHOOL OF PUBLIC HEALTH
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8754136
• 关键词: Advanced Malignant Neoplasm; Arts; Bioinformatics; Cancer Burden; Communities; Complex; Computational Biology; Computer software; Data; Data Base Management; Data Security; Data Set; Data Storage and Retrieval; Databases; Development; Ensure; Faculty; Geographic Information Systems; Goals; Informatics; Information Services; Instruction; Leadership; Libraries; Link; Malignant Neoplasms; Mission; Observational Study; Price; Research; Research Infrastructure; Research Personnel; Research Project Grants; Science; Secure; Statistical Computing; Structure; System; Time; Training Programs; Universities; Work; anticancer research; cancer prevention; cancer therapy; cost; data management; flexibility; prevent; programs; prototype; software development; supercomputer; treatment strategy; user-friendly; web site

Research computing and the linkage, management, and storage of very large databases, are now an essential part of cancer research. Analysis of high dimensional data for cancer research has become highly interdisciplinary and the access to specialized fields (e.g. informatics, statistical programming, computational biology. Geographic Information Systems, system administration, and data base management) is of paramount importance. While the price of computation and storage has steadily decreased, the cost of highly specialized research computing expertise and administration of large data sets has increased and will continue to increase. In addition, the large number of requirements for research data security calls for a centralized infrastructure that can provide access to secure data sets and, at the same time, enormous computational power. The overall purpose of the Statistical Computing Core (SCC) is to ensure that all Program investigators have access to linked and securely stored datasets and cutting edge statistical computing support for the three proposed research projects. The specific aims are: 1) Provide access to state of the art research computing expertise and infrastructure (Aim 1); 2) Develop a comprehensive data management structure for the Program Project (Aim 2); 3) Provide access to specialized expertise such as GIS, bioinformatics; and statistical programming (Aim 3); and 4) Support and disseminate software to the research community and maintain the Program Project website (Aim 4).

研究计算以及非常大数据库的链接，管理和存储现在已成为 癌症研究的重要组成部分。对癌症研究的高维数据的分析已变得高度 跨学科和进入专业领域的访问（例如信息学，统计编程，计算 生物学。地理信息系统，系统管理和数据库管理）是 最重要的重要性。虽然计算和存储的价格稳步下降，但高度的成本 专业研究计算专业知识和大型数据集的管理有所增加，并且将 继续增加。此外，研究数据安全的大量要求要求 可以提供对安全数据集的访问的集中基础架构，同时又有巨大的 计算能力。统计计算核心（SCC）的总体目的是确保所有 计划调查人员可以访问链接和安全存储的数据集和前沿统计 计算三个建议的研究项目的支持。具体目的是：1）提供对 最新研究计算专业知识和基础设施的状态（AIM 1）； 2）制定全面数据 计划项目的管理结构（AIM 2）； 3）提供获得专业知识的访问权限，例如 GIS，生物信息学；和统计编程（AIM 3）； 4）支持并将软件传播到 研究社区并维护计划项目网站（AIM 4）。