Data acquisition and analysis core

数据采集和分析核心既是一个服务和开发核心，将支持数据 所有调查人员的采集和分析需求。通过将支持资源整合到该核心中，我们将 实现数据采集和分析的效率以及规模经济，使我们能够增加 我们的PPG从五到九名教师调查员，并大大扩大了我们的科学范围。数据 采集和分析核心有五个主要目标。第一个目标是为所有人提供直接服务 研究人员在这个项目的项目补助金（PPG）。这些服务包括（1）招聘服务， 筛选和安排所有实验受试者进行fMRI实验，（2）提供专用PPG 实验员监督和运行所有实验会话（除了经认证的MR 由脑成像和分析中心提供的技术专家采集所有研究的图像），（3） 提供PPG专用数据分析师，该分析师将使用专门构建的 软件工具，以及谁将指导所有的功能磁共振成像数据通过图像分析的所有预处理步骤 渠道.第二个目的是支持所有颅内事件相关电位（ERP）研究的采集 在耶鲁大学为所有PPG研究者进行。第三个目标是保持所有的视觉和听觉 刺激传递系统，反应操纵器，眼动仪，实验控制计算机，以及 实验控制软件第四个目标是利用BIAC参与NIH/NCRR的 生物信息学研究网络（BIRN）联盟，使所有的软件工具，由BIRN科学家开发 和软件工程师被集成到PPG的数据分析管道。第五个目标是发展一个 基于数据文档和数据来源的半自动化系统， FDA的“药物临床试验质量管理规范”指导原则。

The Data Acquisition and Analysis Core is both a service and development core that will support the data acquisition and analysis needs of all investigators. By consolidating support resources into this Core, we will achieve efficiencies in data acquisition and analysis and economies of scale that will enable us to increase our PPG from five to nine faculty investigators and to greatly expand our scientific scope. The Data Acquisition and Analysis Core has five major Aims. The first Aim is to provide direct services to all investigators within this Program Project Grant (PPG). These services include (1) a service for recruiting, screening, and scheduling all experimental subjects forfMRI experiments, (2) the provision of a PPGdedicated experimenter to supervise and run all experimental sessions (in addition to the certified MR technologist provided by the Brain Imaging and Analysis Center to acquire images for all studies), (3) the provision of a PPG-dedicated data analyst who will assess the quality of all MRI data using purpose-built software tools, and who will guide all fMRI data through all preprocessing steps of the image analysis pipeline. The second Aim is to support the acquisition of all intracranial event-related potential (ERP) studies performed at Yale University for all PPG investigators. The third Aim is to maintain all visual and auditory stimulus delivery systems, response manipulanda, eye trackers, experimental control computers, and experimental control software. The fourth Aim is to leverage the BIAC's participation in the NIH/NCRR's Bioinformatics Research Network (BIRN) consortium so that all software tools developed by BIRN scientists and software engineers are integrated into the PPG's data analysis pipeline. The fifth Aim is to develop a semi-automated system based for data documentation and data provenance that incorporates principles from the FDA's "Good Clinical Practices" guidelines.