Collaborative Research: CIBR: The OpenBehavior Project

合作研究：CIBR：开放行为项目

• 批准号: 1948181
• 负责人: Mark Laubach
• 金额: $ 64.81万
• 依托单位: American University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948181&HistoricalAwards=false
• 关键词: Collaborative; Research; CIBR; OpenBehavior; Project

In recent years, the field of neuroscience has benefited from open source tools such as the computer language Python, off-the-shelf methods for 3D printing, low-cost microcontrollers such as Arduino, and public repositories for computer code and hardware designs such as GitHub. Many labs are using these tools, but most do not share their code and designs. As a result, it is not possible to systematically track the use of open source tools and their revisions and there is no central repository for open source tools or benchmark materials, such as video recordings of animal behavior. This award will allow these issues to be addressed by creating a database for open source research tools used in the field of neuroscience as well as a repository of benchmark and training materials for using the tools. The specific aims of the project are to create a taxonomy for open source tools used in neuroscience research, use the taxonomy to create and curate a database of open source tools, including creating Research Resource Identifiers (RRIDs) for all tools in the database, and disseminate information on open source tools and the skills required to use them. A special focus of the initial funding period (Aim 3) will be methods for video analysis of animal behavior, which are extremely popular in recent years. Activities in the third aim include creation of a database of video recordings of commonly used behavioral tasks, an open data analysis competition using a common set of benchmark videos (developed through the project), and the development of training materials and in-person and virtual workshops on making and using the most popular open source tools used for neuroscience research. Broader impacts of this project will be to increase public awareness of neuroscience research through the OpenBehavior website (https://edspace.american.edu/openbehavior), social media, and participation in Society for Neuroscience (SfN) sponsored advocacy and outreach events. The project will facilitate discussions of open source tools through a dedicated and moderated discussion topic in the SfN sponsored Neuronline forums and provide curated itineraries on open source tools for attendees of the annual SfN meeting.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

近年来，神经科学领域受益于开源工具，例如计算机语言Python，用于3D打印的现成方法，诸如Arduino之类的低成本微控制器以及用于计算机代码和硬件设计（例如GitHub）的公共存储库。许多实验室正在使用这些工具，但大多数没有共享其代码和设计。结果，无法系统地跟踪开源工具及其修订的使用，并且没有用于开源工具或基准材料的中央存储库，例如动物行为的视频记录。该奖项将通过为神经科学领域使用的开源研究工具以及基准和使用这些工具的培训材料的存储库创建数据库来解决这些问题。该项目的具体目的是为神经科学研究中使用的开源工具创建分类法，使用分类法创建和策划开源工具的数据库，包括为数据库中的所有工具创建研究资源标识符（RRID），以及在开源工具上分发有关开源工具的信息以及使用它们所需的技能。初始资金期（AIM 3）的特别重点将是用于动物行为的视频分析的方法，近年来非常受欢迎。第三个目的的活动包括创建常用行为任务的视频录制数据库，使用一组基准视频（通过项目开发）的开放数据分析竞争，以及开发培训材料以及有关制作以及使用用于Neuroscience研究的最流行的开源工具的亲自和虚拟研讨会。该项目的更广泛的影响是通过OpenBehavior网站（https://edspace.american.edu/openbehavior），社交媒体和参与神经科学社会（SFN）赞助的倡导和揭幕活动。 The project will facilitate discussions of open source tools through a dedicated and moderated discussion topic in the SfN sponsored Neuronline forums and provide curated itineraries on open source tools for attendees of the annual SfN meeting.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.