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Issue No. 01 - January/February (2012 vol. 27)
ISSN: 1541-1672
pp: 47-51
Daniel Zeng , Chinese Academy of Sciences and University of Arizona
Fred Morstatter , Arizona State University
Huan Liu , Arizona State University
<p>Research data sharing becomes increasingly difficult in the context of social media. Increasing restrictions from social media sites are creating an environment where data cannot be freely shared and as a result scientific claims cannot be verified. In this work, we present a novel approach to data sharing that does not require explicitly publishing a dataset. We create a framework where researchers systematically share the parameters they used to crawl the dataset along with the code used to collect the data, allowing the reader to re-assemble the dataset at a later time. While this approach is by no means a silver bullet, we seek to start a conversation for researchers to implement approaches to data sharing that can be embraced by the research community.</p>
Data Sharing, Social Media, Data Distribution Policy, Reproducibility, Social Computing
Daniel Zeng, Fred Morstatter, Huan Liu, "Opening Doors to Sharing Social Media Data", IEEE Intelligent Systems, vol. 27, no. , pp. 47-51, January/February 2012, doi:10.1109/MIS.2012.19
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