Managing the long tail of science: data and communities

  • Authors:

  • Beth Plale

  • Affiliations:

  • Indiana University, Bloomington, IN

  • Venue:
  • Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

We describe the origins of the long tail of data, and discuss the form it takes for scientific and scholarly data. This has implications and opportunities for managing the long tail that are articulated as a set of questions posed as a starting point for discussions by a panel at XSEDE 2012.