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Presentation
Big data and the long tail: Use and reuse of little data
Oxford eResearch Centre Seminar (2013)
  • Christine L Borgman, University of California, Los Angeles
Abstract

Big data gets all the attention but little data are the norm in most fields. Scientists, social scientists, and humanities scholars alike tend to work in small groups and on projects of a year or two in length. The resulting datasets tend to be small, local, and not easily shared. The talk will characterize the problem of long tail data and identify factors that determine how well data can be transferred between contexts. These include provenance, metadata, documentation, and features of the data and of the research methods. Case studies of astronomy and sensor networked science are presented and compared.

Video available at: http://www.youtube.com/watch?v=LrgwWqc8_tI&feature=youtu.be&noredirect=1

Publication Date
March 12, 2013
Comments
Please use the following citation: Borgman, Christine L. (2013, March 12). Big data and the long tail: Use and reuse of little data. Oxford eResearch Centre Seminar.
Citation Information
Christine L Borgman. "Big data and the long tail: Use and reuse of little data" Oxford eResearch Centre Seminar (2013)
Available at: http://works.bepress.com/borgman/269/