CORE E: Samples and Data Management Core

D.数据和样本管理核心 摘要 U19是多机构的，这需要仔细考虑不同机构的所有利益相关者 项目的标高。总体目标是生产各种产品，包括出版物、可评估的策展 数据库、生物模型和洞察力将导致各种其他资助项目。 我们的研究设计包括了不同年龄段的动物，他们经历了几种不同类型的 干预措施。这使得对生命条件的影响的推断成为可能，例如胎儿的宫内发育 对生命过程结果的限制(IUGR)(例如，行为、大脑发育、心脏功能测量、RNA 表达等)，包括在多个层次上的生物过程。通过包括年龄 在回归模型中，性别和某些驱动激素(如皮质醇)是可能的预测因子，更复杂 而现实效果也是可以阐明的。使数据可用，以便可以用于开发复杂的 生物模型和荟萃分析确保收集的数据的效用得到优化。 核心E处理样本库存和数据管理。核心单位的任务将分为两个主要部分 活动、样本管理和数据管理。双方都将实施质量控制(QC)验证，以 提高效率、维护安全、增强资源共享。初始数据分析在 科学核心(核心B-D)和核心E设计中央数据存储库(CDR)以促进集中化 使用所有三个项目的数据进行统计分析和综合结果。 我们将在我们的各个核心项目之间共享数据，并(可能更重要的是)与之合作 共享数据，以协作获得对生物学的洞察，而这些洞察只能产生于这种交叉项目 合作。我们还将开发系统，允许与世界各地其他合格的调查人员共享数据- 很宽。 目标1：制定和提供日常支持样品库存和持续库存的流程 管理和更新样本元数据和从样本导出的测量数据 与灵长类记录数据库相关的软件支持。 目标2：在简化通信的安全系统内制定数据管理流程 以及参与这一U19项目的项目、核心和机构之间的数据共享。 目标3：开发并整合一个管理的中央数据存储库(CDR)，它将生成产品数据 所有U19科学家和其他利益相关者都可以通过易于访问的用户界面、安全、 灵活且可扩展的方式。

D. DATA AND SAMPLES MANAGEMENT CORE ABSTRACT This U19 is multi-institutional, which requires careful consideration of all stakeholders involved at different levels of the project. The overall goal is to produce various products including publications, assessable curated databases, biological models and insights that will lead to various other funded projects. The design of our studies includes animals across certain spans of ages undergoing several different types of interventions. This enables inferences regarding the effect of life conditions such as intrauterine growth restriction (IUGR) on life course outcomes (e.g. behavior, brain development, heart function measures, RNA expression, and others) that encompass biological processes at multiple hierarchical levels. By including age and sex and certain driver hormones (e.g. cortisol) as possible predictors in a regression model, more complex and realistic effects can be elucidated. Making the data available so that it can be used to develop complex biological models and meta-analyses ensure utility the data collected is optimized. Core E deals with sample inventory and data management. The Core Unit tasks will be divided into two main activities, sample management and data management. Both will implement quality control (QC) verifications to improve efficiency, maintain security and enhance resource sharing. Initial data analysis is performed in the Scientific Cores (Cores B-D) with Core E designing a Central Data Repository (CDR) to facilitate centralized statistical analysis and integrated outcomes using data from all three Projects. We will share data among our individual Core Projects and (perhaps even more important) work with that shared data to collaborate on gaining insights into the biology that can only arise from such cross-project cooperation. We also will develop systems to allow sharing of data with other qualified investigators world- wide. Aim 1: To develop and provide processes for the daily support of sample inventory and continuous management and updating of the sample metadata and measurement data derived from the samples and software support associated with the primate records database. Aim 2: To develop a process for data management within a secure system streamlined for communications and data sharing amongst the Projects, Cores and institutions involved in this U19 project. Aim 3: To develop and incorporate a curated Central Data Repository (CDR) that will make product data available to all U19 scientists and other stakeholders through an easily accessible user interface, in a secure, flexible and scalable manner.