Administrative Core

SCENT TMC管理核心摘要： 杜克大学正常组织衰老细胞评价（SCENT）绘图中心的管理核心 将支持和协调其他三个核心的活动：生物标本、生物分析和数据 分析. SCENT管理核心将由肺重症监护部主任Patty Lee博士领导， 杜克医学院医学系。管理核心将提供领导，协调， 监督、基础设施和支持人员，以促进行政管理;促进一体化， 沟通和协作;确保财务和监管合规性;并监督数据运营和 科学严谨通过履行这些职能，行政核心使SCENT调查人员能够专注于 收集、储存和分配相关组织，进行各种多组学测定，并建立 SenNet联盟要求的相关数据分析管道。管理核心将支持每个 其他SCENT核心领导团队，以确保他们与网络的所有成员成功合作， 制定数据生成和元数据标准的衡量标准，参与跨站点研究， 培训，并指导数据分析和可视化工具的开发，可用于更广泛的 科学界。本SCENT行政核心的具体目标是：1。提供行政 整个项目的管理和监督; 2.组织和领导执行和生物统计咨询 委员会; 3.与SCENT数据分析核心和SenNet数据协调密切合作 中心开发和谐的SOP，并生成适合所需开发的数据包 地图集，和; 4.评估新的技术方法，并与其他技术管理中心协调活动。

SCENT TMC Admin Core Abstract: The Administrative Core of the Duke Senescent Cell Evaluation in Normal Tissues (SCENT) Mapping Center will support and coordinate the activities of the three other cores: Biospecimen, Biological Analysis, and Data Analysis. The SCENT Admin Core will be led by Dr. Patty Lee, Chief of Pulmonary Critical Care division in the Department of Medicine at Duke School of Medicine. The Admin Core will provide leadership, coordination, oversight, infrastructure, and support personnel to facilitate administrative management; promote integration, communication, and collaboration; ensure fiscal and regulatory compliance; and oversee data operations and scientific rigor. By serving these functions, the Administrative Core allows SCENT investigators to focus on collecting, storing and distributing the relevant tissues, performing the various multi-omics assays, and building the relevant data analysis pipelines as required by the SenNet consortium. The Admin Core will support each other SCENT Core leadership team to ensure they collaborate successfully with all members of the Network to develop metrics for data generation and metadata standards, participate in cross-site studies, engage in cross- training, and guide development of data analysis and visualization tools that can be used by the broader scientific community. The Specific Aims of this SCENT Administrative Core are to: 1. Provide administrative management and oversight of the entire project; 2. Organize and Lead the Executive and Biostatistics Advisory Committees; 3. Collaborate closely with the SCENT Data Analysis Core and the SenNet Data Coordination Center to develop harmonious SOPs and generate data packages suitable for the development of the desired atlases, and; 4. Evaluate novel technological approaches and coordinate activities with other TMCs.