Administrative Core

行政核心（ADM）：项目摘要 行政核心（ADM）是哥伦比亚大学衰老组织的必要组成部分 该中心将提供研究和后勤监督，并促进交流 在所有中心核心以及SenNet联盟组织和数据协调中心之间 （CODCC），SenNet联盟和NIH。ADM由一名主任、所有中心PI（MPI）组成， 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（生物样本核心（BIO）、生物分析核心 (BAC)和数据分析核心（DAC））。这些核心将有助于研究衰老的三个主要 组织类型，即，皮肤，大脑和脊髓，在成年人的一生中。ADM将有三个主要功能 支持CUSTMAP中心，并最终支持SenNet联盟倡议。第一个是领导力， 目标1强调：提供科学的领导和治理结构，以确保一体化， CUSTMAP中心组件和活动的功能。CUSTMAP中心活动将跨越多个 研究中心（CUIMC-All Cores、爱丁堡大学-BIO、纽约基因组中心-BAC和纽约大学- 发援会），因此需要一个中央管理和组织结构。ADM将成为 决策、所有中心文件以及遵守道德政策。重要的是，ADM将确保 CUSTMAP中心的研究符合商定的标准和资源共享计划， 由该中心和美国国立卫生研究院制定。第二个角色是中心协调，在目标2：促进中强调 内部沟通，促进CUSTMAP中心内部的协同作用。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、定制的实验室 信息管理系统（LIMS）与OpenSpecimen协调跟踪样品，相关的 元数据和实验输出。行政部门将定期组织执行委员会会议， 一个分享成功、想法和解决问题的论坛。行政管理部门将编制半年进度报告 由SenNet指导委员会进行评估，并由内部评估委员会进行年度评估 咨询委员会（CUIMC内部，CUSTMAP外部）。最后，ADM将促进网络 目标3中强调的协调：促进CUSTMAP中心与 SenNet财团。ADM将与CUSTMAP DAC和SenNet CODCC合作开发 协调的标准操作规程（SOP）、通用数据元素（CDE）和适当的数据包 并将监督向CODCC提供的质量数据。ADM还将利用与其他 SenNet联盟中的TMC，用于优化SOP、分析方案、知情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， 这些数据对SenNet在不同健康组织中实现高分辨率衰老图谱的目标具有重要意义。

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.