Data Management

数据管理

• 批准号: 8042880
• 负责人: Sergei L Kosakovsky Pond
• 金额: $ 8.49万
• 依托单位: INTERNATIONAL AIDS VACCINE INITIATIVE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8042880
• 关键词: AIDS Vaccines; Acute; Address; Antibodies; Antibody Formation; Arts; B-Lymphocytes; Biological; Biological Assay; CD4 Lymphocyte Count; Clinical; Clinical Data; Collaborations; Collection; Communication; Communities; Computational Biology; Computer software; Custom; Data; Data Analyses; Data Element; Data Set; Data Sources; Data Storage and Retrieval; Databases; Development; Elements; Ensure; Epidemiology; Epitopes; Evolution; Generations; Goals; HIV; HIV Antibodies; HIV Infections; HIV vaccine; HIV-1 vaccine; Housing; Human Resources; Imagery; Immune response; Immunology; Individual; Infection; Information Dissemination; Information Technology; Instruction; International AIDS; Investigation; Maintenance; Maps; Methods; Modeling; Online Systems; Outcome; Participant; Population; Procedures; Protocols documentation; Public Domains; Recording of previous events; Reproducibility; Research; Research Infrastructure; Research Personnel; Resources; Retrieval; Risk Behaviors; Services; Site; Solutions; Specimen; Staging; Statistical Data Interpretation; Structure; Symptoms; System; Technology; Testing; Training and Education; Viral; Writing; base; cohort; computerized tools; data management; data mining; data sharing; design; member; neutralizing antibody; next generation; open source; programs; quality assurance; response; software systems; tool; user-friendly; virology

The Data Managennent Core (DMC) will be responsible for overall data and information support for all components of the Program. The studies proposed in the Program represent a critically valuable source of data important for the development of an HIV vaccine. Developing a mechanism to coordinate collection of common key data elements across multiple sites can facilitate such collaboration and represents an important opportunity to leverage resources and accelerate the pace of scientific discovery concerning an effective preventative HIV vaccine based on understanding the humoral response. We aim to develop and implement the infrastructure needed to combine data and coordinate research efforts across two successful primary HIV infection cohorts at UCSD (First Choice Program) and International AIDS Vaccine Initiative (lAVI Protocol C). The aim is not simply to create a combined database, but to standardize data management and retrieval procedures for issues such as HIV risk behavior, symptoms of acute HIV, antibody testing data, staging criteria, treatment history, and clinical outcomes. Legacy database solutions unnecessarily hinder investigators from querying and analyzing multi-faceted rich data sources. Such access will substantially facilitate collaborative investigations, as well as data exploration, hypothesis generation and discovery. Quality assurance procedures will also be developed and implemented to insure that combined data is cleaned, reliable, and ready for analysis. Additionally, the DMC will develop and implement the procedures necessary to manage the data generated and shared across the projects of the proposed, B Cell Immunology Partnership Program For HIV-1 Vaccine Discovery, which will be referred to as the "Program" throughout this Core description. We propose to design and develop a completely open source, portable and low-maintenance software solution to carry out a number of common information technology (IT) and data analysis tasks required by any collaborator who collects, generates and analyzes Program related data.

数据管理核心（DMC）将负责所有人的总体数据和信息支持 该程序的组成部分。该计划中提出的研究代表了非常有价值的来源 数据对于开发HIV疫苗很重要。开发一种协调收集的机制 跨多个站点的常见关键数据元素可以促进此类协作，并代表 利用资源并加速科学发现的重要机会 基于理解体液反应的有效预防性HIV疫苗。我们旨在发展和 实施在两个成功的两个成功中结合数据并协调研究工作所需的基础架构 UCSD（第一选择计划）和国际艾滋病疫苗倡议（LAVI）的原发性艾滋病毒感染队列 协议c）。目的不仅是创建一个组合的数据库，而且是标准化数据管理和 诸如艾滋病毒风险行为，急性艾滋病毒症状，抗体测试数据等问题的检索程序， 分期标准，治疗病史和临床结果。旧数据库解决方案不必要地阻碍 来自查询和分析多方面的丰富数据源的研究者。这样的访问将大大 促进协作研究以及数据探索，假设产生和发现。 还将开发和实施质量保证程序，以确保组合数据是 清洁，可靠，并准备进行分析。此外，DMC将开发和实施这些程序 在拟议的B单元的项目中管理和共享生成和共享的数据所需的必要 HIV-1疫苗发现的免疫学合作计划，该计划将被称为“计划” 在整个核心描述中。我们建议设计和开发完全开源的，便携式和 低维护软件解决方案，以执行许多常见信息技术（IT）和数据 任何收集，生成和分析程序相关数据的合作者所需的分析任务。