Administrative Core

行政核心(ADM)：项目总结 行政核心(ADM)是哥伦比亚大学衰老组织的必要组成部分 测绘(CUSTMAP)中心；它将提供研究和后勤监督，并促进沟通 在所有中心核心中以及与Sennet联盟组织和数据协调中心 (CODCC)、整个Sennet财团和NIH。ADM由一名主管、所有中心绩效指标(MPI)、 执行委员会(所有核心领导层)和支持人员(项目经理和系统分析师)将 监督和协调三个核心(一个生物质学家核心(BIO)、一个生物分析核心)的方向 (BAC)和数据分析核心(DAC))。这些核心将有助于对三个主要物种衰老的研究 组织类型，即皮肤、脑和脊髓，跨越成年人的寿命。ADM将有三个主要功能 以支持CUSTMAP中心，并最终支持Sennet财团倡议。第一个是领导力， 目标1中强调：提供科学的领导和治理结构，以确保一体化和 CUSTMAP中心组件和活动的功能。CUSTMAP中心活动将跨越多个 网站(CUIMC-All Cores、爱丁堡大学-BIO、纽约基因组中心-BAC和纽约大学- 发展援助委员会)，因此需要一个中央管理和组织结构。ADM将成为 决策制定、所有中心文档和遵守道德政策。重要的是，ADM将确保 CUSTMAP中心研究正式遵守商定的标准和资源共享计划 由中心和美国国立卫生研究院共同设定。第二个角色是中心协调，在目标2：促进中强调 在CUSTMAP中心内进行内部沟通，促进协同。ADM将提供 协调所有CUSTMAP中心核心。这一目标的核心是一个创新的定制实验室 与Openspecimen协调的信息管理系统(LIMS)，以跟踪样本、相关的 元数据和实验结果。行政长官将以公开形式组织执行委员会的定期会议 分享成功经验、想法和解决问题的论坛。行政部将编写一年两次的进度报告 来自每个核心，供SENet指导委员会评估，年度报告供内部 顾问委员会(CUIMC内部、CUSTMAP外部)。最后，ADM将促进网络 协调，在目标3中强调：促进中非合作伙伴关系中心与 Sennet财团。ADM将与CUSTMAP DAC和SENet CODCC合作开发 协调的标准操作规范(SOP)、通用数据元素(CDE)和适当的数据包 并将监督向CODCC交付高质量数据的工作。ADM还将利用与其他 Sennet联合体中的TMC，以优化SOP、分析方案、同意材料和数据分析等。 ADM将在多个地点提供多个移动部件的无缝集成，以生产高质量的产品， 有意义的数据朝向Sennet的目标，即各种健康组织的高分辨率衰老图谱。

ADMINISTRATIVE CORE (ADM): PROJECT SUMMARY The Administrative Core (ADM) is a necessary component of the Columbia University Senescence Tissue Mapping (CUSTMAP) Center; it will provide research and logistical oversight and facilitate communication amongst all Center Cores as well as with the SenNet Consortium Organization and Data Coordination Center (CODCC), the SenNet consortium at large, and the NIH. The ADM, composed of a Director, all Center PIs (MPIs), an Executive Committee (all Core leadership), and support staff (Program Manager and Systems Analyst), will oversee and coordinate the direction of three Cores (a Biospecimen Core (BIO), a Biological Analysis Core (BAC), and a Data Analysis Core (DAC)). These Cores will contribute to the study of senescence in three primary tissue types, i.e., skin, brain, and spinal cord, across the adult lifespan. The ADM will have three main functions in support of the CUSTMAP Center and ultimately the SenNet consortium initiative. The first is Leadership, highlighted in Aim 1: Provide scientific leadership and governance structure to ensure integration and function of the CUSTMAP Center components and activities. CUSTMAP Center activities will span multiple sites (CUIMC-All Cores, Edinburgh University-BIO, New York Genome Center-BAC, and New York University- DAC) and therefore will require a central governing and organizing structure. The ADM will be the hub for decision making, all Center documentation, and adherence to ethical policies. Importantly, the ADM will ensure the CUSTMAP Center research is compliant with agreed upon standards and a resource sharing plan, formally set by the Center and with the NIH. The second role is Center Coordination, highlighted in Aim 2: Facilitate internal communication and promote synergy within the CUSTMAP Center. The ADM will provide coordination across all CUSTMAP Center Cores. Central to this Aim is an innovative, customized laboratory information management system (LIMS) in coordination with OpenSpecimen to track samples, the associated metadata, and experimental outputs. The ADM will organize regular Executive Committee meetings as an open forum for the sharing of successes, ideas and trouble shooting. The ADM will compile biannual Progress reports from each Core for evaluation by the SenNet Steering Committee and annual reports for evaluation by an Internal Advisory Board (internal to CUIMC, external to CUSTMAP). Finally, the ADM will facilitate Network Coordination, highlighted in Aim 3: Foster collaboration and integration of the CUSTMAP Center with the SenNet consortium. The ADM will collaborate with the CUSTMAP DAC and the SenNet CODCC to develop harmonious Standard Operating Practices (SOPs), Common Data Elements (CDEs) and suitable data packages and will oversee the delivery of quality data to the CODCC. The ADM will also leverage interactions with other TMCs in the SenNet consortium to optimize SOPs, assay protocols, consent materials, and data analysis, etc. The ADM will provide the seamless integration of multiple moving parts, at multiple sites, to produce high quality, meaningful data towards the SenNet goal of high-resolution atlases of senescence in diverse healthy tissues.