Academic Torrents

Academic Torrents[1][2][3][4][5][6] is a website which enables the sharing of research data using the BitTorrent protocol. The site was founded in November 2013, and is a project of the Institute for Reproducible Research (a 501(c)3 U.S. non-profit corporation).[7][8] The project is said to be similar to LOCKSS but with a focus on "offering researchers the opportunity to distribute the hosting of their papers and datasets to authors and readers, providing easy access to scholarly works and simultaneously backing them up on computers around the world" [9][10]

Academic Torrents
The logo is a DFA representing multiple phrases describing the platform
Type of site
Country of originUnited States
OwnerInstitute for Reproducible Research
Created by
  • Joseph Paul Cohen
  • Henry Z Lo
IndustryU.S. Non-Profit
URLacademictorrents.com
Launched2013
Current statusActive

Notable Datasets

The developing Human Connectome Project which is related to the Human Connectome Project uses the platform. "Researchers from three leading British institutions are using BitTorrent to share over 150 GB of unique high-resolution brain scans of unborn babies with colleagues worldwide... The researchers opted to go for the Academic Torrents tracker, which specializes in sharing research data"[11]

References
  1. Miccoli, Fräntz (2014). "Academic Torrents: Bringing P2P Technology to the Academic World". MyScienceWork. Retrieved 6 May 2020.
  2. Ernesto (31 Jan 2014). "Academics Launch Torrent Site to Share Papers and Datasets". Torrent Freak. Retrieved 6 May 2020.
  3. Cohen, Joseph Paul (Oct 2016). "What is Academic Torrents and Where is Data Sharing Going?". KDnuggets. Retrieved 6 May 2020.
  4. Bakshi, Kirti (18 Aug 2018). "Academic Torrents: A Distributed System For Sharing Enormous Datasets". TechLeer. Retrieved 6 May 2020.
  5. Cohen, Joseph (July 2014). "Academic Torrents: A Community-Maintained Distributed Repository". Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment. doi:10.1145/2616498.2616528. S2CID 5813384.
  6. Lo, Henry (14 Mar 2016). "Academic Torrents: Scalable Data Distribution". Neural Information Processing Systems Challenges in Machine Learning (CiML) Workshop. arXiv:1603.04395.
  7. "Institute for Reproducible Research Webpage". Retrieved 4 May 2020.
  8. "Tax Exempt Organization Search". United States IRS. Retrieved 4 May 2020.
  9. Chant, Ian (13 Feb 2014). "Academic Torrents Offers New Means of Storing, Distributing Scholarly Content". Library Journal. Retrieved 4 May 2020.
  10. Turk, Victoria (3 Feb 2014). "A Torrent Site Wants to Be the New Academic Library". Vice News. Retrieved 4 May 2020.
  11. Ernesto (3 June 2017). "Torrents Help Researchers Worldwide to Study Babies' Brains". TorrentFreak. Retrieved 6 May 2020.
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