Data Science Resource Core

数据科学资源核心

• 批准号: 10202750
• 负责人: IVAN SOLTESZ
• 金额: $ 27.37万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-25 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10202750
• 关键词: Collaborations; Communities; Computer Simulation; Computer software; Data; Data Science; Data Science Core; Data Scientist; Data Set; Data Storage and Retrieval; Data Store; Development; Ensure; Goals; Hippocampus (Brain); Mediating; Memory; Methods; Neurons; Outcome; Play; Property; Reproducibility; Research; Research Project Grants; Research Support; Resources; Series; Software Framework; Software Tools; Testing; Time; Universities; base; computational neuroscience; data acquisition; data format; data management; data sharing; experimental study; member; network models; open source; simulation; support tools

The Data Science Core, based at Stanford University, is the component through which the overall management and sharing of experimental and simulation data will be conducted. The Data Science Core will implement the Data Science Plan by developing an integrated software framework for data storage, analysis, and simulation, and by closely collaborating with all team members to ensure that their research needs are met in a timely manner. This effort will require a full-time data scientist that will be responsible for implementing and overseeing the data management framework and ensuring its effective use among team members. The data management framework, detailed in the data science plan, is based on a common description and storage format for experimental datasets produced by the proposed experiments in Projects 1-4, and will include adapted versions of the existing analysis software or new analysis tools that support the common format, software tools to efficiently extract and represent cellular and network properties from experimental time series, and a pipeline to use data stored in these formats to constrain our large-scale neuronal network models in Project 5. The principal data scientist will be responsible for collaboration with external organizations that develop scientific data formats, such as Neurodata Without Borders and the HDF Group, in order to ensure that best technical practices are followed in development of the storage format and support software, and for effective dissemination to the broader scientific community of all software and data generated by the projects via a resource such as Collaborative Research in Computational Neuroscience (CRCNS). The Data Science Core will play an important part in achieving the overall goals of the research projects by ensuring consistent use of analysis methods, facilitating data sharing among team members, allowing direct comparison of the outcomes of experiments performed in different labs under different conditions, and will accelerate the development of open-source software tools to help increase reproducibility across research teams.

数据科学核心位于斯坦福大学，是整个数据科学的组成部分 将进行实验和模拟数据的管理和共享。数据科学 Core将通过开发数据集成软件框架来实施数据科学计划 存储、分析和模拟，并与所有团队成员密切合作，以确保 他们的研究需求得到及时满足。这项工作需要一名全职数据科学家 将负责实施和监督数据管理框架并确保其 团队成员之间的有效利用。数据科学中详细介绍的数据管理框架 计划，基于由实验数据集生成的通用描述和存储格式 项目 1-4 中提出的实验，并将包括现有分析的改编版本 支持通用格式的软件或新的分析工具，高效提取和分析的软件工具 表示实验时间序列中的蜂窝和网络属性，以及使用数据的管道 以这些格式存储以约束项目 5 中的大规模神经元网络模型。 首席数据科学家将负责与开发的外部组织合作 科学数据格式，例如 Neurodata Without Borders 和 HDF Group，以确保 在开发存储格式和支持软件时遵循最佳技术实践， 以及向更广泛的科学界有效传播所生成的所有软件和数据 通过计算神经科学合作研究等资源进行项目 （CRCNS）。数据科学核心将在实现总体目标中发挥重要作用 通过确保分析方法的一致使用，促进研究项目之间的数据共享 团队成员，可以直接比较不同实验室进行的实验结果 并会加速开源软件工具的开发，以帮助 提高研究团队之间的可重复性。