Why Linked Data is Not Enough for Scientists

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 ha...

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Bibliographic Details
Main Authors: Bechhofer, S, Ainsworth, J, Bhagat, J, Buchan, I, Couch, P, Cruickshank, D, Roure, D D, Delderfield, M, Dunlop, I, Gamble, M, Goble, C, Michaelides, D, Missier, P, Owen, S, Newman, D, Sufi, S
Format: Conference Proceeding
Language:English
Subjects:
aggregation
Biological system modeling
Context
Context modeling
Data models
Distributed databases
e-science
Joining processes
linked data
Publishing
research objects
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Summary: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 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 Research Objects as first class citizens for sharing and publishing.
DOI:10.1109/eScience.2010.21