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Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools

机译:利用现代Web应用程序技术创建直观有效的数据可视化和共享工具

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摘要

Neuroscientists increasingly need to work with big data in order to derive meaningful results in their field. Collecting, organizing and analyzing this data can be a major hurdle on the road to scientific discovery. This hurdle can be lowered using the same technologies that are currently revolutionizing the way that cultural and social media sites represent and share information with their users. Web application technologies and standards such as RESTful webservices, HTML5 and high-performance in-browser JavaScript engines are being utilized to vastly improve the way that the world accesses and shares information. The neuroscience community can also benefit tremendously from these technologies. We present here a web application that allows users to explore and request the complex datasets that need to be shared among the neuroimaging community. The COINS (Collaborative Informatics and Neuroimaging Suite) Data Exchange uses web application technologies to facilitate data sharing in three phases: Exploration, Request/Communication, and Download. This paper will focus on the first phase, and how intuitive exploration of large and complex datasets is achieved using a framework that centers around asynchronous client-server communication (AJAX) and also exposes a powerful API that can be utilized by other applications to explore available data. First opened to the neuroscience community in August 2012, the Data Exchange has already provided researchers with over 2500 GB of data.
机译:神经科学家越来越需要处理大数据,以便在其领域中获得有意义的结果。收集,组织和分析这些数据可能是通往科学发现之路上的主要障碍。可以使用目前正在革新文化和社交媒体网站代表其用户并与他们共享信息的方式的相同技术来降低此障碍。诸如RESTful Web服务,HTML5和高性能浏览器内JavaScript引擎之类的Web应用程序技术和标准正被用来极大地改善世界访问和共享信息的方式。神经科学界也可以从这些技术中受益匪浅。我们在这里介绍了一个Web应用程序,该应用程序允许用户浏览和请求需要在神经成像社区之间共享的复杂数据集。 COINS(协作信息学和神经影像套件)数据交换使用Web应用程序技术来促进三个阶段的数据共享:探索,请求/通信和下载。本文将集中在第一阶段,以及如何使用围绕异步客户端-服务器通信(AJAX)为中心的框架实现对大型和复杂数据集的直观探索,并且还公开了一个强大的API,其他应用程序可以利用该API探索可用的资源数据。数据交换于2012年8月首次向神经科学领域开放,已经为研究人员提供了2500 GB以上的数据。

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