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authorKarissa McKelvey <karissa@users.noreply.github.com>2016-05-23 13:25:26 -0700
committerKarissa McKelvey <karissa@users.noreply.github.com>2016-05-23 13:25:26 -0700
commitc2f993f1ddcf11a607ddfed4cb01676a16fd6263 (patch)
treedf9884ee46f81f985580c379deb459d008e56547
parentb91d4d18bebd74c99ef1d112d912d5823efed1a9 (diff)
parentcb8fc2ed0a7cc12966447044922d1fd0684f9f71 (diff)
downloaddat-docs-c2f993f1ddcf11a607ddfed4cb01676a16fd6263.tar.gz
dat-docs-c2f993f1ddcf11a607ddfed4cb01676a16fd6263.zip
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# 1. Introduction
-There are countless ways to share share datasets over the Internet today. The simplest and most widely used approach, sharing files over HTTP, is subject to dead links when files are moved or deleted, as HTTP has no concept of history or versioning built in. E-mailing datasets as attachments is also widely used, and has the concept of history built in, but many email providers limit the maximum attachment size which makes it impractical for many datasets.
+There are countless ways to share datasets over the Internet today. The simplest and most widely used approach, sharing files over HTTP, is subject to dead links when files are moved or deleted, as HTTP has no concept of history or versioning built in. E-mailing datasets as attachments is also widely used, and has the concept of history built in, but many email providers limit the maximum attachment size which makes it impractical for many datasets.
Cloud storage services like S3 ensure availability of data, but as they have a centralized hub-and-spoke networking model tend to be limited by their bandwidth, meaning popular files can be come very expensive to share. Services like Dropbox and Google Drive provide version control and synchronization on top of cloud storage services which fixes many issues with broken links but rely on proprietary code and infrastructure requiring users to store their data on cloud infrastructure which has implications on cost, transfer speeds, and user privacy.