Lung and HIV Analytical Data Coordinating Center (LHAD-CC)

肺和 HIV 分析数据协调中心 (LHAD-CC)

• 批准号: 8743255
• 负责人: Bryan Lau
• 金额: $ 69.46万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-26 至 2018-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8743255
• 关键词: Accounting; Acquired Immunodeficiency Syndrome; Address; Adherence; American; Archives; Basic Science; Biological; Biostatistical Methods; Clinical; Clinical Data; Clinical Research; Clinical Sciences; Cohort Studies; Collaborations; Common Data Element; Communication; Companions; Complex; Data; Data Analyses; Data Collection; Data Coordinating Center; Data Set; Databases; Discipline; Epidemiologic Methods; Epidemiologic Studies; Epidemiology; Faculty; Foundations; Funding; Genetic; HIV; Heterogeneity; Imagery; Individual; Investigation; Laboratories; Leadership; Lung; Lung diseases; Methodology; Methods; Metric; Mission; Monitor; Online Systems; Pathogenesis; Patients; Public Health Schools; Quality Control; Research; Research Design; Research Personnel; Research Project Grants; Resources; Science; Site; Smoker; Smoking; Specimen; System; Training; Woman; analytical method; arm; base; clinical research site; cohort; data management; effective therapy; experience; innovation; meetings; non-smoker; novel; programs; protocol development; public health relevance; quality assurance; repository; success; tool; web site; working group

DESCRIPTION (provided by applicant): The purpose of this application is to establish the Lung and HIV Analytical Data Coordinating Center (LHAD- CC) that will collaborate with the research sites funded under the companion FOA RFA-HL-13-026. Together, our sites will form a new collaborative network (HLDN). LHAD-CC will provide leadership in contributing scientific leadership and epidemiological, statistical, genetic, clinical, and basic pulmonary research expertise while providing essential support for the success of the HLDN including coordination of the research network (e.g. facilitating collaborations, arranging meetings, specimen tracking), data management for the research network (e.g. establishment of a stable and efficient web-based data management system, quality control, and data harmonization), and analytical support for collaborative projects. The specific aims of LHAD-CC are: (1) To provide scientific leadership for the HLDN in developing novel methodology; (2) To optimize the contributions of the network for HLDN in the understanding of the pathogenesis of lung disease in an era of effective treatment of HIV through collaboration and scientific partnership; (3) To coordinate research initiatives and scientific presentations; to facilitate communication amongst network investigators, Working Groups and committees; to orchestrate study protocol development; and to disseminate key scientific findings (Dossier, Archives, & Study Website); (4) To adapt, maintain, and refine our current stable and efficient web- based data management system to the needs of HLDN. We will tailor our current systems for: tracking the storage and transfer of biological specimens at a central repository, producing annual public data sets, and conducting training in methods in order to facilitate the appropriate use of study data for local research; (5 To implement a quality assurance program in partnership with the clinical sites that integrates expertise in data management, study coordination, statistical methodology, and scientific disciplines. This program will monitor study-wide quality and promote adherence and training for data collection.

描述（由申请人提供）：本申请的目的是建立肺和 HIV 分析数据协调中心 (LHAD-CC)，该中心将与 FOA RFA-HL-13-026 资助的研究中心合作。我们的站点将共同形成一个新的协作网络 (HLDN)。 LHAD-CC 将在贡献科学领导力以及流行病学、统计、遗传、临床和基础肺部研究专业知识方面发挥领导作用，同时为 HLDN 的成功提供必要的支持，包括协调研究网络（例如促进合作、安排会议、标本追踪） ）、研究网络的数据管理（例如建立稳定高效的基于网络的数据管理系统、质量控制和数据协调）以及对合作项目的分析支持。 LHAD-CC 的具体目标是： (1) 为 HLDN 开发新方法提供科学领导； (2) 通过合作和科学伙伴关系，在有效治疗艾滋病毒的时代，优化 HLDN 网络在了解肺病发病机制方面的贡献； (3) 协调研究计划和科学报告；促进网络调查人员、工作组和委员会之间的沟通；协调研究方案的制定；并传播重要的科学发现（档案、档案和研究网站）； (4) 调整、维护和完善我们当前稳定、高效的基于网络的数据管理系统以满足 HLDN 的需求。我们将定制我们当前的系统：跟踪中央存储库中生物样本的存储和转移，生成年度公共数据集，并进行方法培训，以促进本地研究适当使用研究数据； （5 与临床中心合作实施质量保证计划，整合数据管理、研究协调、统计方法和科学学科方面的专业知识。该计划将监测整个研究的质量并促进数据收集的遵守和培训。