CRCNS US-German Data Sharing: DataGit - converging catalogues, warehouses, and deployment logistics into a federated 'data distribution'

CRCNS 美国-德国数据共享：DataGit - 将目录、仓库和部署物流融合到联合“数据分发”中

• 批准号: 1429999
• 负责人: Yaroslav Halchenko
• 金额: $ 69.04万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1429999&HistoricalAwards=false
• 关键词: CRCNS; US; German; Data; Sharing

Contemporary neuroscience is heavily data-driven, but today's data management technologies and sharing practices fall at least a decade behind software ecosystem counterparts. Distributed version control systems, such as Git, facilitate collaborative software development, and turnkey distributions, like NeuroDebian, free researchers from tedious and unreliable maintenance tasks. Likewise, neuroscientists will need to incorporate recent technological developments to access, manage, and contribute back to the ever growing array of scientific data more efficiently. Making a rich collection of disjoint datasets available through a simple unified interface can transcend limitations of individual studies and revolutionize how scientific data are managed, distributed, and shared across all fields of science. With support from the National Science Foundation, Dr. Yaroslav O. Halchenko of Dartmouth College, along with Dr. Michael Hanke of the University of Magdeburg (Germany), will develop DataGit, a suite of data distribution tools. DataGit will employ software for data tracking and deployment logistics to unify access to many existing neuroimaging data hosting portals, such as crcns.org, openfmri.org and humanconnectome.org. DataGit will make it easy to access existing data and to share new or derived data with full support for distributed version control, data integrity protection and authenticated access to original data hosting.Making data management as easy and as versatile as source code management will further the efforts toward open and fully reproducible science. Uniform access to federated collections of data will promote the visibility and accessibility of neuroscientific data inside and outside the field, far beyond the scope of any individual data-sharing effort. The benefits from the proposed developments will translate directly to educators' aims in the classroom. Through integration with software distributions, uniform access to software elements and datasets for online training materials will enable educators to teach not only from textbooks but also through hands-on replication of state-of-the-art original publications. In addition, giving any researcher the ability to easily deploy complex heterogeneous analysis pipelines will be instrumental in translating the achievements of flagship efforts, such as the Human Connectome Project, into accessible tools for clinical applications. Consequently, even more researchers will be able to tackle even larger challenges to benefit society by improving our understanding of the human brain.A companion project is being funded by the German Ministry of Education and Research (BMBF).

当代神经科学在很大程度上是由数据驱动的，但今天的数据管理技术和共享实践至少落后于软件生态系统同行十年。分布式版本控制系统，如Git，促进了协作软件开发，而交钥匙发行版，如NeuroDebian，将研究人员从乏味和不可靠的维护任务中解放出来。同样，神经科学家将需要结合最新的技术发展，以更有效地访问、管理和回馈日益增长的科学数据。通过一个简单的统一界面提供丰富的互不相连的数据集，可以超越单个研究的限制，并彻底改变科学数据在所有科学领域的管理、分发和共享的方式。在国家科学基金会的支持下，达特茅斯学院的雅罗斯拉夫·O·哈尔琴科博士和德国马格德堡大学的迈克尔·汉克博士将开发一套数据分发工具DataGit。DataGit将使用用于数据跟踪和部署后勤的软件，以统一访问许多现有的神经成像数据托管门户网站，如crcns.org、Openfmri.org和Human Connectome.org。DataGit将使访问现有数据和共享新的或派生的数据变得容易，完全支持分布式版本控制、数据完整性保护和对原始数据托管的身份验证访问。使数据管理像源代码管理一样简单和通用，将进一步努力实现开放和完全可重现的科学。统一获取联邦数据集合将促进实地内外神经科学数据的可见性和可获得性，这远远超出了任何单独的数据共享努力的范围。拟议发展的好处将直接转化为教育者在课堂上的目标。通过与软件分发相结合，统一获取在线培训材料的软件要素和数据集，将使教育工作者不仅能够从教科书中授课，而且还能够亲手复制最先进的原始出版物。此外，让任何研究人员能够轻松部署复杂的异质分析管道，将有助于将人类连接组项目等旗舰努力的成果转化为临床应用的可用工具。因此，更多的研究人员将能够通过提高我们对人脑的理解来应对更大的挑战，造福社会。德国教育和研究部(BMBF)正在资助一个配套项目。