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.

Original languageEnglish (US)
Article number6163561
Pages (from-to)47-51
Number of pages5
JournalIEEE Intelligent Systems
Issue number1
StatePublished - Jan 2012


  • Data Distribution Policy
  • Data Sharing
  • Reproducibility
  • Social Computing
  • Social Media

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Artificial Intelligence


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