Why linked data is not enough for scientists

Sean Bechhofer*, Iain Buchan, David De Roure, Paolo Missier, John Ainsworth, Jiten Bhagat, Philip Couch, Don Cruickshank, Mark Delderfield, Ian Dunlop, Matthew Gamble, Danius Michaelides, Stuart Owen, David Newman, Shoaib Sufi, Carole Goble

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)599-611
Number of pages13
JournalFuture Generation Computer Systems
Volume29
Issue number2
DOIs
Publication statusPublished - Feb 2013

Keywords

  • Linked data
  • Publishing
  • Reproducibility
  • Research object
  • Reuse
  • Sharing

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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