Amazonian Center of Excellence in Malaria Research

数据管理和生物统计学核心领导：HSPH的Marcia C.Castro博士 摘要 数据管理和生物统计核心将提供全面的数据管理和统计 支持亚马逊ICEMR计划的所有项目。它的功能包括：指导学习设计；开发 研究协议和元数据；确保适当和安全的数据收集、管理和共享；生成 根据项目负责人的要求进行常规的简单制表；根据需要提供培训；并协助 统计分析。核心将在哈佛大学建立，与现有的基础设施相结合 ，并将与正在研究的项目负责人和研究人员无缝集成 网站。核心领导人将是卡斯特罗博士，由一名兼职数据经理和程序员直接支持 在哈佛大学，以及秘鲁和巴西的全职数据管理员。利用免费提供的资源 哈佛人员，因此不需要ICEMR项目的费用，核心将受益于 提供高质量调查规划、生物统计、地理空间建模和 生物信息学。具体地说，核心将创建/组织纵向数据集，并辅以词典 2010-2017年国际经济、经济和环境研究中心项目期间在秘鲁和巴西收集的所有调查数据的元数据； 确保秘鲁和巴西的所有研究地点都有必要的基础设施来进行日常数据 管理活动；协助编写标准化的数据收集和协议，并提供 关于在所有研究地点的平板电脑上使用数据收集软件的培训，以保证数据质量， 标准化和跨站点的可比性；增强数据管理和统计研究能力 秘鲁和巴西合作机构；为项目负责人提供安全访问一套经过验证的、 易于使用的数据库，具有明确记录的信息并准备进行分析；提供系统的 对拟议项目的研究设计和数据分析以及今后对 从ICEMR方案产生的新项目方面进行研究；以及与PlamoDB的接口， GenBank和VectorBase，以便集成和公开提供遗传、基因组和 来自ICEMR站点的昆虫学数据。最后，作为我们提议的资源共享计划的一部分，数据将 存放在哈佛大学托管和维护的公共存储库哈佛数据中心 信息技术，并符合哈佛大学对良好使用计算机的要求 做法，包括系统安全要求(例如，空闲会话超时；禁用通用帐户； 抑制密码猜测)；操作要求(例如，漏洞报告；打补丁；密码 复杂性；日志记录)；以及定期审计和审查。

Data Management and Biostatistics Core - Core Leader: Dr. Marcia C. Castro, HSPH ABSTRACT The Data Management and Biostatistics Core will provide comprehensive data management and statistical support for all Projects of the Amazonia ICEMR Program. Its functions include: guide study design; develop study protocols and metadata; ensure proper and safe data collection, management, and sharing; generate simple tabulations routinely and as requested by Project leaders; provide training as needed; and assist with statistical analysis. The Core will be instituted at Harvard University, integrated with the existing infrastructure of the partner institutions, and will work in seamless integration with Project leaders and researchers in study sites. The Core Leader will be Dr. Castro, directly supported by a part-time data manager & programmer based at Harvard, and by full-time data managers available in Peru and Brazil. Levering resources freely available to Harvard personnel, and thus at no cost to the ICEMR project, the Core will benefit from a network of consultants that offer high quality services on survey planning, biostatistics, geospatial modeling, and bioinformatics. Specifically, the Core will create/organize longitudinal datasets, accompanied by dictionaries and metadata, of all survey data previously collected in Peru and Brazil during the 2010-2017 ICEMR Project; ensure that all study sites in Peru and Brazil have the necessary infrastructure to conduct day-to-day data management activities; assist in the preparation of standardized data collection and protocols, and to provide training on the use of data collection software in tablets in all study sites, guaranteeing data quality, standardization, and comparability across sites; enhance data management and statistics research capacity at the Peruvian and Brazilian partner institutions; provide Project leaders with secure access to a set of validated, easy to use databases with clearly-documented information and ready for analyses; provide systematic guidance on study design and data analysis for the proposed projects and for future modifications to the studies in terms of new projects that emerge from the ICEMR program; and interface with PlasmoDB, GenBank, and VectorBase in order to integrate and make publicly available genetic, genomic, and entomological data from the ICEMR sites. Lastly, as part of our proposed resource sharing plan, data will be deposited in the Harvard Dataverse, a public repository, hosted and maintained by Harvard University Information Technology, and in compliance with Harvard University requirements for good computer use practices, including system security requirements (e.g., idle session timeouts; disabling of generic accounts; inhibiting password guessing); operational requirements (e.g., breach reporting; patching; password complexity; logging); and regular auditing and review.