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.

项目摘要 NIH的母公司大脑倡议基金的目标是催产素调节神经回路功能和 行为，是为了增进对催产素调节社会空间的生物学机制的了解 记忆电路，从而通过四个相互关联的项目控制特定的母性行为 广泛的数据类型。此应用程序涉及父赠款的数据核心，该数据核心旨在 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。 大脑计划强调了共享可查找、可访问、 可互操作和可重用(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即将出台的数据管理和共享要求， 研究人员需要以公平的方式产生和共享数据。目前，大多数研究数据都不是 以使其真正可用和有用的方式进行共享。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，限制了其可重用性程度。 为了解决这些缺点，我们的U19小组一直在构建脑干-一个集中、标准化、 实验神经科学的结构化实验室笔记本。此工具填补了当前环境中的关键空白 支持实验神经科学数据公平原则的资料库和标准。脑干 元数据模型建立在标准化但灵活的语言上，支持数据发现和互操作， 而且还促进了修改以反映神经科学数据收集方式的变化，包括对 实验技术、工具和行为范例。最重要的是，脑干解决了 实现数据共享格局的这一根本性转变的最大挑战- 研究人员改变他们的工作流程；因为脑干是集中的，具有用户友好的界面， 无论实验室的技术专业水平如何，实验室都可以采用此工具，并且可以进行精细访问 控制支持实验室内部和实验室之间的私人协作，项目和数据集的公共共享仅限于 点击即可，大大降低了数据共享的准入门槛。 该补充项目的目标是：1)开发允许精确数据发现的公共前端 通过详细的元数据，2)开发用于脑干的API，该API将提供编程访问和 允许与数据存储库API紧密集成，3)开发图形界面和通用命令 对于用于与API交互的MatLab和Python，4)利用新的NIH需求的时间，而这 项目团队在神经科学和数据图书馆社区建立了强大的联系，以组织 研讨会和现场访问，以增加用户对脑干的采用。这需要财政支持，以 程序员和关键人员的支持，领导研讨会和现场访问。