Research Management & Experimental Tools Resources

研究管理和实验工具(RMET)核心涉及三个关键目标：i.通过集中经常在实验室之间重复的资源来提高效率；ii.通过整合各实验室的最佳实践来加强创新；通过开发从基础研究小组到应用研究小组的通用平台，加快翻译速度。这些目标将通过三个具体目标来实现： 1.开发中央人类主体管理工具。将开发一个安全的网上应用程序，以支持征聘和时间安排的所有方面。 2.开发了一套核心工具，用于跨多个试验域收集数据。将提供一个通用的、开源的、独立于平台的实验软件平台来支持 实验室之间的通用测试。 3.开发大型工程数据数据库。将开发一个安全、可靠的关系数据库，以便对核心1(人类科目招聘和管理)开发的筛查器的人口统计数据和行为数据以及跨实验室使用的额外测试进行联合登记。 人类科目管理系统将提供一种安全的方式，通过共享资源满足共同的征聘需求。利用实验室间的经验将使我们能够开发一套高质量的实验工具，可以与整个研究社区共享。这两种计算工具，再加上项目数据的大规模数据库，将提供技术上的 基础设施，可促进各种实验室之间的协同研究。

The Research Management & Experimental Tools (RMET) core addresses three critical goals: i. increase efficiency by centralizing resources frequently duplicated across laboratories; ii. augment innovation by combining best practices across laboratories; and iii. accelerate translation by developing common platforms across research groups ranging from the basic to the applied. These goals will be addressed through three specific aims: 1. Develop a central human subject management tool. A secure web-based application will be developed to support all aspects of recruitment and scheduling. 2. Develop a set of core tools forgathering data across multiple experimental domains. A common, open source, platform-independent experimental software platform will be made available to support common tests across laboratories. 3. Develop a large-scale database for project data. A secure, robust relational database will be developed to allow co-registration of demographic data and behavioral data from both the screener developed by Core 1 (Human Subject Recruitment & Management) as well as additional tests used across laboratories. The human subjects management system will provide a secure way to address common recruitment needs through shared resources. Leveraging experience across laboratories will allows us to develop a high quality set of experimental tools that can be shared with the entire research community. Both of these computational tools, coupled with a large-scale database for project data, will provide a technical infrastructure that can facilitate synergistic research across a wide variety of laboratories.