Harvard University

To facilitate social science research on large-scale datasets by expanding the capabilities of Dataverse repository software

  • Amount $751,941
  • City Cambridge, MA
  • Investigator Gary King
  • Year 2015
  • Program Technology
  • Sub-program Data & Computational Research

There are currently no academic social science repositories that can routinely handle terabytes of data. This despite the fact that the rise of the Internet and new sensing technologies are creating large new datasets of potential interest to social scientists, like phone usage data or geospatial social media data. This grant supports efforts by Gary King at Harvard University to expand the popular Dataverse platform so that it becomes the first data archiving and management application capable of handling social science data at the terabyte scale. Fully open source, Dataverse is a decentralized web application that allows individual institutions to download and run their own instances. Universities and research labs can manage their data easily while at the same time configuring the system to meet their own needs and comply with their own institutional policies. Funds from this grant will fund the technical development of the Dataverse platform to accommodate the immense logistical and resource challenges posed by “big data” datasets, expanding the power of an increasingly important resource for social scientists everywhere.

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