Administrative Core

Sment TMC管理核心摘要： 正常组织(气味)定位中心Duke衰老细胞评估的管理核心 将支持和协调其他三个核心的活动：生物质学家、生物分析和数据 分析。气味管理核心将由Patty Lee博士领导，她是 杜克医学院的医学系。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；促进整合， 通信和协作；确保财务和法规遵从性；以及监督数据运营和 科学的严谨性。通过提供这些功能，管理核心允许气味调查人员专注于 收集、储存和分发相关组织，进行各种多组学分析，并建立 Sennet财团要求的相关数据分析管道。管理核心将支持每个 其他气味核心领导团队，以确保他们与网络的所有成员成功协作 制定数据生成和元数据标准的指标，参与跨站点研究，参与跨站点 培训和指导开发可供更广泛的用户使用的数据分析和可视化工具 科学界。这个气味管理核心的具体目标是：1.提供管理 管理和监督整个项目；2.组织和领导执行和生物统计咨询 委员会；3.与气味数据分析核心和Sennet数据协调密切合作 中心制定和谐的SOP并生成适合所需开发的数据包 地图集；以及；4.评估新的技术方法，并与其他技术管理委员会协调活动。

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.