Data Acquisition and Analysis Core (DAAC)

数据采集​​和分析核心 (DAAC)

• 批准号: 9301424
• 负责人: Arun S Karlamangla
• 金额: $ 3.29万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-15 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9301424
• 关键词: Address; Affect; Age; Aging; American; Archives; Attention; Biological; Biological Markers; Biology; Calibration; Chronic Disease; Clinical Research; Cohort Studies; Collection; Communities; Complex; Consult; Country; Cross-Sectional Studies; Data Analyses; Data Collection; Data Set; Data Sources; Development; Disease; Educational workshop; Elderly; Ensure; Evaluation; Faculty; Feedback; Funding; Growth; Health; Home environment; Human Resources; Immune; Impairment; Inflammation; Inflammatory; International; Intervention; Intervention Studies; K-Series Research Career Programs; Kidney Transplantation; Lead; Link; Logistics; Los Angeles; Measurement; Measures; Menopause; Mentors; Modeling; Observational Study; Operations Research; Organ Transplantation; Participant; Phase; Pilot Projects; Protocols documentation; Recruitment Activity; Research; Research Design; Research Methodology; Research Personnel; Research Project Grants; Resources; Role; Sample Size; Sampling; Secure; Series; Services; Site; Solid; Standardization; Statistical Data Interpretation; Stroke; Stroke prevention; Study of Women' s Health Across the Nation; T-Lymphocyte; Techniques; Testing; Transplant Recipients; Treatment Efficacy; Woman; Women' s Health; age related; base; cost effectiveness; data access; data acquisition; data management; design; disorder risk; education research; experience; human subject; immune function; immunosenescence; implementation research; inflammatory marker; investigator training; minority communities; programs; randomized trial; sample collection; secondary analysis; success

PROJECT SUMMARY/ABSTRACT The Data Acquisition and Analysis Core (DAAC) is a key and integral component of the UCLA OAIC, providing expert data acquisition and analysis support to OAIC pilot projects, to investigators selected by the OAIC Research Education Component (REC) for career development awards and research project support, and to externally-funded projects (EP). This resource core is designed to serve as a single, coordinated, central resource for major aspects of the design and implementation of research projects involving human subjects, with particular attention to supporting the development of junior investigators through support for their projects. DAAC specific aims are to 1) support data acquisition (recruitment of older adults, biological sample collection and processing, secure data management); 2) support data analysis (sample size and power calculations, statistical analysis, facilitate junior investigator access to archived large datasets); 3) mentor junior investigators (provide expert consulting on research methods from project planning phase onwards, with continued oversight and feedback during the research, and conduct tutorial workshops as part of the REC's Research Education Program), and 4) support EPs that address the OAIC theme of Inflammation, Aging, and Independence. Nine OAIC-funded projects will be supported in year 1; eight of the nine are led by junior researchers who will also get ongoing mentoring. Four EPs will be supported in year 1: one cohort study to address relationships between age trajectories of inflammation and disease risk, one biomarker measurement standardization study that will make possible cross-nation comparisons of inflammatory markers, one randomized trial of stroke prevention in minority communities, which will determine the role of inflammation in stroke disparities, and one cross-sectional study of T cell immunosenescence – led by a junior investigator – that will examine the role of immunosenescence in the vulnerability of older transplant recipients. Each of these EPs addresses one or more components of the OAIC conceptual model of inflammation, aging, disease, and independence. DAAC strengths include its established links to under-represented communities of older adults, experience developing protocols for home-based bio-specimen collection, data management resources such as PIWeb and REDcap, support for complex analytic techniques, and commitment to and strong track record in mentoring junior investigators.

项目摘要/摘要 数据采集和分析核心(DAAC)是加州大学洛杉矶分校OAIC的关键组成部分，提供 为审查办试点项目、审查员选定的调查人员提供专家数据获取和分析支持 研究教育部分(REC)，用于职业发展奖励和研究项目支持，并 外部资金项目(EP)。此资源核心旨在充当单一、协调、集中的 关于设计和实施涉及人类受试者的研究项目的主要方面的资源， 特别注意通过支持初级调查员的项目来支持他们的发展。 DAAC的具体目标是：1)支持数据采集(招募老年人、收集生物样本 和处理，安全数据管理)；2)支持数据分析(样本量和功率计算， 统计分析，帮助初级调查员访问存档的大型数据集)；3)指导初级 调查人员(从项目规划阶段开始提供研究方法的专家咨询，有 在研究期间继续监督和反馈，并作为REC的一部分举办辅导研讨会 研究教育计划)，以及4)支持针对OAIC主题的炎症、衰老和 独立。 9个由OAIC资助的项目将在第一年得到支持；9个项目中的8个由初级研究人员领导，他们将 还可以获得持续的指导。将在第一年支持四名EP：一项处理关系的队列研究 在炎症和疾病风险的年龄轨迹之间，一项生物标志物测量标准化研究 这将使炎症标志物的跨国比较成为可能，这是一项中风的随机试验 少数族裔社区的预防，这将确定炎症在中风差异中的作用，以及一个 T细胞免疫衰老的横断面研究-由一名初级研究员领导-将检查 免疫衰老与老年移植受者的脆弱性。这些EP中的每一个都针对一个或 OAIC概念模型中有关炎症、衰老、疾病和独立性的更多组件。DAAC 其优势包括与老年人代表不足的社区建立了联系，经验发展 用于基于家庭的生物标本收集的协议、诸如PIWeb和RedCap的数据管理资源、 支持复杂的分析技术，承诺并在指导初级员工方面有良好的记录 调查人员。