Data Management/GIS/Biostatistics Core

数据管理/GIS/生物统计核心

• 批准号: 7665475
• 负责人: Mirko Zimic
• 金额: $ 5.64万
• 依托单位: UNIVERSIDAD PERUANA CAYETANO HEREDIA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2012-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7665475
• 关键词: Animals; Area; Biostatistics Core; Computer information processing; Confidentiality; Cysticercosis; Data; Data Analyses; Data Collection; Data Set; Databases; Documentation; Geographic Information Systems; Housing; Human Resources; Individual; Information Systems; Institutes; Institution; Internet; Label; Link; Monitor; Pan Genus; Persons; Peru; Preparation; Procedures; Protocols documentation; Research; Research Infrastructure; Research Personnel; Sample Size; Sampling; Scheme; Secure; Security; Site; Specimen; Statistical Data Interpretation; Statistical Methods; Structure; System; Time; Visit; Work; base; computerized data processing; data management; design; distributed data; experience; programs

The main objective of the Data Management / GIS / Biostatistics Core C is to centralize the design, implementation and monitoring of all data processing activities in the Peru TMRC program. The Aims for Core C are a) To centralize, conduct and monitor all the procedures related to data collection, data entry and data processing, including labeling and handling of collected specimens; b) to coordinate and supervise sampling activities in all the components of the program; c) to coordinate and perform statistical data analysis; d) to assist the preparation of research protocols in the areas of sample size and power calculations, sampling schemes and procedures, and statistical methods for data analysis, and e) to deliver a set of databases with validated, clearly-documented information and easily accessible according to pre-defined security levels. The proposed activities in this core are based on this experience of the Cysticercosis Working Group in Peru which helped to develop the previous Peru TMRC Program, and build on this established structure. Existing facilities include a multi-level relational SQL data system has been designed and made operational. All data from different studies is entered in this system which creates a unique identifier for the individual (or animal) which will later be the link to every sample, result, visit, geographic data, or other related information. Data is organized at the individual, house, and village levels. The system is fully compliant with confidentiality and tracking systems. Data from over 100,000 individuals is already stored in this system. The Core C will act as Data Management Center (DMC). It will be instituted at UPCH and integrated with the existing infrastructure of other large research programs of our group. The Core Director will be Mirko Zlmic, supported by Dr. William Pan, Jose Olivera, a full time Data Manager, Cesar Gavidia, Sofia Arriola and a full time data entry person (Figure 1). A unique DMC will be established for all working units of this program. The DMC will receive the information, process it, and re-distribute data according to the analytical requirements of each project. Data analysis will be performed in close coordination with all collaborative researchers and/or institutions involved. Datasets and their documentation will be available at the web page of the program, password protected and using a secure site, providing limited access to involved personnel.

数据管理/地理信息系统/生物统计核心C的主要目标是将 设计、实施和监测秘鲁TMRC方案中的所有数据处理活动。 核心C的目标是a)集中、执行和监测与数据有关的所有程序 收集、数据录入和数据处理，包括标记和处理收集的标本； B)协调和监督方案所有组成部分的抽样活动；c) 协调和执行统计数据分析；d)协助编制研究方案 样本量和能量计算、抽样方案和程序以及统计领域 数据分析的方法，以及e)提供一套经过验证的、有明确文件记录的数据库 信息，并根据预定义的安全级别轻松访问。拟开展的活动 在这个核心中是基于秘鲁囊虫病工作组的这一经验，该工作组帮助 发展以前的秘鲁TMRC计划，并在这一既定结构的基础上继续发展。现有 设施包括一个多层关系SQL数据系统已经设计并投入运行。 来自不同研究的所有数据都被输入到该系统中，该系统为 个人(或动物)，稍后将链接到每个样本、结果、访问、地理数据或 其他相关信息。数据在个人、房屋和村庄级别进行组织。系统 完全符合保密和跟踪系统。超过100,000人的数据是 已经存储在这个系统中了。核心C将充当数据管理中心(DMC)。会是 在圣迭戈大学设立，并与其他大型研究计划的现有基础设施相结合 我们组中的一员。核心主任将由Mirko Zlic担任，威廉·潘博士，Jose Olivera，a 全职数据经理、Cesar Gavidia、Sofia Arriola和一名全职数据录入人员(图1)。一个 将为该方案的所有工作单位建立唯一的DMC。公用事业管理委员会将收到 信息，对其进行处理，并根据每个对象的分析要求重新分发数据 项目。数据分析将与所有合作研究人员密切协调进行 和/或涉及的机构。数据集及其文档将在的网页上提供 该程序受密码保护，并使用安全的网站，提供对相关内容的有限访问 人事部。