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Issue No. 01 - January/February (2012 vol. 27)
ISSN: 1541-1672
pp: 47-51
Fred Morstatter , Arizona State University
Huan Liu , Arizona State University
Daniel Zeng , Chinese Academy of Sciences and University of Arizona
<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

D. Zeng, F. Morstatter and H. Liu, "Opening Doors to Sharing Social Media Data," in IEEE Intelligent Systems, vol. 27, no. , pp. 47-51, 2012.
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