Why Linked Data is Not Enough for Scientists

Authors:
Sean Bechhofer;John Ainsworth;Jiten Bhagat;Iain Buchan;Philip Couch;Don Cruickshank;David De Roure;Mark Delderfield;Ian Dunlop;Matthew Gamble;Carole Goble;Danius Michaelides;Paolo Missier;Stuart Owen;David Newman;Shoaib Sufi
Affiliations:
-;-;-;-;-;-;-;-;-;-;-;-;-;-;-;-
Venue:
ESCIENCE '10 Proceedings of the 2010 IEEE Sixth International Conference on e-Science
Year:
2010

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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 \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 \emph{Research Objects} as first class citizens for sharing and publishing.