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AcademicTorrents:学术种子资源下载网

AcademicTorrents:学术种子资源下载网

编辑时间:2014-02-12

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AcademicTorrents:学术种子资源下载网是一个针对科研人员而创办的学术资源下载分享平台,目前拥有数据1.67T,帮助科研人员寻找和下载可用的学术资源,解决速度和存储的难题。

AcademicTorrents:学术种子资源下载网

该服务旨在方便存储所有正在研究中的数据,包括数据集和出版物资源,使用BT技术来进行传播,该平台就是一个存储分发系统,任何人都可以通过该平台去分享和下载学术资源。

对于科研人员使用的数据集是可以重复研究的,但是获取和共享数据确实一个难题,尤其是大型的数据集合,学术种子提供了一个分布式的资料库平台可以解决共享和下载的数据问题。

Sharing data is hard. Emails have size limits, and setting up servers is too much work. We've designed a distributed system for sharing enormous datasets - for researchers, by researchers. The result is a scalable, secure, and fault-tolerant repository for data, with blazing fast download speeds.

This service is designed to facilitate storage of all the data used in research, including datasets as well as publications. There are many advantages of using bittorrent technology to disseminate this work.

Distributed storage and content delivery provided by anyone. Files can be securely downloaded from other users of the system. They can share the file for a day or a year.

Mirroring the content can be done from a desktop computer anywhere. Everyone surrounding this computer will have local access to the data automatically and securely.

Bundles of files, not just papers, or any size can be disseminated in this way as long as at least one person can become a seed for that data.

Torrent technology allows a group of editors to "seed" their own peer-reviewed published articles with just a torrent client. Each editor can have part or all of the papers stored on their desktops and have a torrent tracker to coordinate the delivery of papers without a dedicated server.

+ One aim of this site is to create the infrastructure to allow open access journals to operate at low cost. By facilitating file transfers, the journal can focus on its core mission of providing world class research. After peer review the paper can be indexed on this site and diseminated throughout our system.

+ Large dataset delivery can be supported by researchers in the field that have the dataset on their machine. A popular large dataset doesn't need to be housed centrally. Researchers can have part of the dataset they are working on and they can help host it together.

+ Libraries can host this data to host papers from their own campus without becoming the only source of the data. So even if a library's system is broken other universities can participate in getting that data into the hands of researchers.

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