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 父级NIH脑倡议赠款的目标，神经回路功能的催产素调制和 行为是为了提高对氧加毒素调节“社会空间”的生物学机制的了解 内存电路，从而通过四个互连项目来控制特定的材料行为 广泛的数据类型。本申请与父母赠款的数据核心有关，该申请旨在 协调项目团队的数据收集和标准化，并有效地共享此数据。 大脑倡议强调了共享可发现，可访问的研究数据的重要性 可互操作，可重复使用（公平），并通过用于存储库，标准和工具的资金来支持这一点。 随着NIH数据管理和共享要求，将大大增加 需要研究人员以公平的方式生产和共享数据。目前，大多数研究数据不是 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，从而限制了其可重复性程度。 为了解决这些缺点，我们的U19小组一直在建立脑干 - 集中式，标准化， 实验性神经科学的结构化实验室笔记本。该工具填补了当前景观中的关键空白 支持实验神经科学数据的公平原则的存储库和标准。脑干的 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性， 而且还支持修改以反映如何收集神经科学数据的变化，包括更改 实验技术，工具和行为范式。最重要的是，脑干解决了 影响数据共享格局的这种根本转变的最大挑战 - 研究人员改变工作流程；因为脑干以用户友好的界面集中 实验室可以使用该工具，无论其技术专长水平如何 控制能够实现实验室内部和跨实验室的私人协作，公开共享项目和数据集 单击“移开”，大大降低数据共享输入障碍。 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）为脑干开发API，以提供程序化访问和 允许与数据存储库API紧密整合，3）开发图形接口和通用命令 对于Matlab和Python与API互动，4）利用新的NIH要求的时机，这 项目团队在神经科学和数据馆藏社区中都有牢固的联系 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 程序员和支持关键人员的支持，以领导研讨会和现场访问。