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A large-scale Twitter dataset for drug safety applications mined from publicly existing resources

<p>This dataset consists of&nbsp;1,181,993&nbsp;Tweet Ids, obtained as a result from the paper - A large-scale Twitter dataset for drug safety applications mined from publicly existing resources.</p> <p>The Tweet Ids can be hydrated using &nbsp;<strong>twarc</strong>, a command line tool and Python library for archiving Twitter JSON data. Please follow these instructions to install twarc -&nbsp;<a href="https://github.com/DocNow/twarc">https://github.com/DocNow/twarc</a></p> <p>It will take less than 4&nbsp;hours to hydrate the tweet ids&nbsp;using twarc.&nbsp;</p> <p>If you intend to use the dataset, please cite the paper.&nbsp;</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
January 12, 2020
License
cc-by-4.0
DOI
10.5281/zenodo.3606862
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Scored with release 0.9.0

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