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Why linked data is not enough for scientists

Journal article published in 2013 by Sean Bechhofer, David De Roure, Iain Buchan ORCID, John Ainsworth, Jiten Bhagat, Philip Couch, Paolo Missier, Don Cruickshank, David De Roure, Mark Delderfield, Ian Dunlop, Matthew Gamble, Danius Michaelides, Stuart Owen, David Newman and other authors.
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Scientific data stands to represent a significant portion of the linked open data cloud and science itself stands to benefit from the data fusion capability that this will afford. However, simply publishing linked data into the cloud does not necessarily meet the requirements of reuse. Publishing has requirements of provenance, quality, credit, attribution, methods in order to provide the $\backslash$emph\{reproducibility\} that allows 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 $\backslash$emph\{Research Objects\} as first class citizens for sharing and publishing.