Research Management & Experimental Tools Resources

研究管理和实验工具（RMET）核心解决了三个关键目标：i。通过集中实验室之间经常重复的资源来提高效率; ii.通过结合实验室之间的最佳实践来增强创新;以及iii.通过在从基础到应用的研究小组之间开发通用平台来加速翻译。将通过三个具体目标实现这些目标： 1.开发一个中央人体受试者管理工具。将开发一个安全的网上应用程序，以支持征聘和日程安排的所有方面。 2.开发一套核心工具，用于收集多个实验领域的数据。将提供一个通用的、开放源代码的、独立于平台的实验软件平台， 实验室间的常见测试。 3.建立大型项目数据库。将开发一个安全、强大的关系数据库，以允许共同登记来自核心1（人类受试者招募和管理）开发的筛选器以及实验室间使用的其他测试的人口统计学数据和行为数据。 人类受试者管理系统将提供一种安全的方式，通过共享资源解决共同的招募需求。利用跨实验室的经验将使我们能够开发出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，加上一个大规模的项目数据库，将提供一个技术 基础设施，可以促进跨各种实验室的协同研究。

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.