Why linked data is not enough for scientists

Research output: Contribution to journalArticle

  • External authors:
  • David De Roure
  • Paolo Missier
  • Jiten Bhagat
  • Philip Couch
  • Don Cruickshank
  • Mark Delderfield
  • Ian Dunlop
  • Matthew Gamble
  • Danius Michaelides
  • Stuart Owen
  • David Newman
  • Shoaib Sufi
  • Carole Goble

Abstract

Scientific data represents a significant portion of the linked open data cloud and scientists stand to benefit from the data fusion capability this will afford. Publishing linked data into the cloud, however, does not ensure the required reusability. Publishing has requirements of provenance, quality, credit, attribution and methods to provide the reproducibility that enables validation of results. In this paper we make the case for a scientific data publication model on top of linked data and introduce the notion of Research Objects as first class citizens for sharing and publishing. © 2012 Elsevier B.V. All rights reserved.

Bibliographical metadata

Original languageEnglish
Pages (from-to)599-611
Number of pages12
JournalFuture Generation Computer Systems
Volume29
Issue number2
DOIs
StatePublished - Feb 2013

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