BrainSTEM - An e-age Experimental Neuroscience Lab Notebook

BrainSTEM - 电子时代实验神经科学实验室笔记本

• 批准号: 10609170
• 负责人: RICHARD W TSIEN
• 金额: $ 25.36万
• 依托单位: NEW YORK UNIVERSITY SCHOOL OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10609170
• 关键词: Address; Adopted; Adoption; Age; BRAIN initiative; Behavior; Behavioral Paradigm; Biological; Brain; Brain Stem; Code; Collaborations; Collection; Communities; Data; Data Collection; Data Discovery; Data Set; Development; Educational workshop; Environment; FAIR principles; Faculty; Feedback; Financial Support; Funding; Goals; Grant; Human Resources; Knowledge; Language; Lead; Librarians; Link; Maternal Behavior; Metadata; Modeling; Modification; Neurosciences; Oxytocin; Parents; Pathway interactions; Postdoctoral Fellow; Privatization; Programming Languages; Pythons; Research; Research Personnel; Resources; Site Visit; Standardization; Structure; Technical Expertise; Techniques; United States National Institutes of Health; Work; base; data interoperability; data management; data mining; data modeling; data repository; data sharing; data standards; electronic structure; flexibility; graduate student; graphical user interface; innovation; metadata standards; neural circuit; open data; parent grant; peer; programs; public repository; repository; sharing platform; spatial memory; tool; user-friendly

Project Summary The goal of the parent NIH BRAIN Initiative grant, Oxytocin Modulation of Neural Circuit Function and Behavior, is to advance knowledge of the biological mechanisms by which oxytocin modulates a ‘socio-spatial’ memory circuit and thereby controls specific maternal behaviors through four interconnected projects with a wide range of data types. This application relates to the data core of the parent grant, which seeks to coordinate data collection and standardization across the project teams and efficiently share this data. The BRAIN Initiative has emphasized the importance of sharing research data that is findable, accessible, interoperable, and reusable (FAIR) and facilitated this through funding for repositories, standards, and tools. With the upcoming NIH Data Management and Sharing Requirements, there will be a huge increase in the need for researchers to produce and share data in a way that is FAIR. Currently, most research data is not shared in a way that makes it truly usable and useful. Data shared on public repositories is often difficult to discover and lacks standardized metadata, limiting its degree of reusability. To address these shortcomings, our U19 group has been building BrainSTEM - a centralized, standardized, structured lab notebook for experimental neuroscience. This tool fills critical gaps in the current landscape of repositories and standards that support the FAIR principles for experimental neuroscience data. BrainSTEM’s metadata model is built on a standardized yet flexible language, supporting data discovery and interoperability, but also facilitating modifications to reflect changes in how neuroscience data is collected including changes to experimental techniques, tools, and behavioral paradigms. Most importantly, BrainSTEM addresses the biggest challenge in effecting this fundamental shift in the data sharing landscape – the energy barrier for researchers to change their workflows; because BrainSTEM is centralized with a user-friendly interface, adoption of this tool is accessible to labs regardless of their level of technical expertise, and its granular access controls enable private collaboration within and across labs, with public sharing of projects and datasets only a click away, lowering the data sharing entry barrier substantially. The goals of this supplement project are: 1) to develop a public front-end that allows for precise data discovery through detailed metadata, 2) to develop an API for BrainSTEM that will provide programmatic access and allow for tight integration with data repository APIs, 3) Develop graphical interfaces and common commands for Matlab and python for interacting with the API, 4) leverage the timing of the new NIH requirements, and this project teams strong connections in both the neuroscience and data librarian communities to organize workshops and site visits to increase user adoption of BrainSTEM. This requires financial support for a programmer and support for the key personnel to lead the workshops and site visits.

项目概要 NIH BRAIN Initiative 资助的目标是神经回路功能的催产素调节和 行为，是为了增进对催产素调节“社会空间”的生物机制的了解 记忆回路，从而通过四个相互关联的项目控制特定的母亲行为 该申请涉及母基金的数据核心，旨在 协调项目团队之间的数据收集和标准化，并有效地共享这些数据。 BRAIN Initiative 强调了共享可查找、可访问、可获取的研究数据的重要性。 互操作性和可重用性（公平），并通过为存储库、标准和工具提供资金来促进这一点。 随着 NIH 数据管理和共享要求的即将出台，相关数据将大幅增加 研究人员需要以公平的方式生成和共享数据 目前，大多数研究数据并不公平。 以使其真正可用和有用的方式共享在公共存储库上共享的数据通常很难。 发现并缺乏标准化的元数据，限制了其可重用程度。 为了解决这些缺点，我们的 U19 小组一直在构建 BrainSTEM——一个集中的、标准化的、 用于实验神经科学的结构化实验室笔记本填补了当前领域的关键空白。 支持实验神经科学数据的 FAIR 原则的存储库和标准。 元数据模型建立在标准化但灵活的语言之上，支持数据发现和互操作性， 还促进修改以反映神经科学数据收集方式的变化，包括 最重要的是，BrainSTEM 解决了实验技术、工具和行为范式。 实现数据共享格局这一根本性转变的最大挑战是能源壁垒 研究人员改变他们的工作流程；因为 BrainSTEM 具有用户友好的界面， 实验室可以采用该工具，无论其技术专业知识水平及其细粒度访问如何 控件可实现实验室内部和实验室之间的私人协作，只需公开共享项目和数据集 单击即可，大大降低了数据共享的准入门槛。 该补充项目的目标是：1）开发一个允许精确数据发现的公共前端 通过详细的元数据，2) 为 BrainSTEM 开发一个 API，它将提供编程访问和 允许与数据存储库 API 紧密集成，3) 开发图形界面和常用命令 对于 Matlab 和 python 与 API 交互，4) 利用新的 NIH 要求的时机，这 项目团队在神经科学和数据图书馆员社区中拥有强大的联系来组织 研讨会和现场访问以提高 BrainSTEM 的用户采用率 这需要对 BrainSTEM 的财政支持。 程序员并为关键人员提供支持，以领导研讨会和现场考察。