AcademicTorrents:學術種子資源下載網是一個針對科研人員而創辦的學術資源下載分享平臺，目前擁有資料1.67T，幫助科研人員尋找和下載可用的學術資源，解決速度和儲存的難題。
該服務旨在方便儲存所有正在研究中的資料，包括資料集和出版物資源，使用BT技術來進行傳播，該平臺就是一個儲存分發系統，任何人都可以通過該平臺去分享和下載學術資源。
對於科研人員使用的資料集是可以重複研究的，但是獲取和共享資料確實一個難題，尤其是大型的資料集合，學術種子提供了一個分散式的資料庫平臺可以解決共享和下載的資料問題。
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.
