A-posteriori Provenance-enabled Linking of Publications and Datasets via Crowdsourcing

@article{Dragan2015AposterioriPL,
  title={A-posteriori Provenance-enabled Linking of Publications and Datasets via Crowdsourcing},
  author={Laura Dragan and Markus Luczak-R{\"o}sch and Elena Paslaru Bontas Simperl and Heather S. Packer and Luc Moreau and Bettina Berendt},
  journal={D-Lib Magazine},
  year={2015},
  volume={21}
}
In this paper we present opportunities to leverage crowdsourcing for a-posteriori capturing dataset citation graphs. We describe a user study we carried out, which applied a possible crowdsourcing technique to collect this information from domain experts. We propose to publish the results as Linked Data, using the W3C PROV standard, and we demonstrate how to do this with the Web-based application we built for the study. Based on the results and feedback from this first experiment, we introduce… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 20 references

Crowdsourcing: A Definition

  • Howe, June
  • Retrieved October
  • 2014

Introducing the Semantic Publishing and Referencing (SPAR) Ontologies

  • D. Shotton, Peroni, October
  • Retrieved October
  • 2014

On the Ethics of Crowd-sourced Research

  • V. Williamson
  • Retrieved October
  • 2014
2 Excerpts

PROV-DM: The PROV

  • L. Moreau, Missier, April
  • Data Model. Retrieved October
  • 2014

The Ethics of Experimenting on Yourself

  • Marcus, D A., October
  • The Wall Street Journal. Retrieved October
  • 2014

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