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Why Linked Data is Not Enough for Scientists
http://jb4-2.eprints-hosting.org/2315
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 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.
Sean Bechhofer
John Ainsworth
Jitenkumar Bhagat
Iain Buchan
Phillip Couch
Don Cruickshank
Mark Delderfield
Ian Dunlop
Matthew Gamble
Carole Goble
Danius Michaelides
Paolo Missier
Stuart Owen
David Newman
David De Roure
Shoaib Sufi
http://jb4-2.eprints-hosting.org/2315
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 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.
Sean Bechhofer
John Ainsworth
Jitenkumar Bhagat
Iain Buchan
Phillip Couch
Don Cruickshank
Mark Delderfield
Ian Dunlop
Matthew Gamble
Carole Goble
Danius Michaelides
Paolo Missier
Stuart Owen
David Newman
David De Roure
Shoaib Sufi