Why Linked Data is Not Enough for Scientists
Why Linked Data is Not Enough for Scientists
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.
Bechhofer, Sean
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Ainsworth, John
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Bhagat, Jitenkumar
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Buchan, Iain
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Couch, Phillip
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Cruickshank, Don
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Delderfield, Mark
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Dunlop, Ian
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Gamble, Matthew
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Goble, Carole
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Michaelides, Danius
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Missier, Paolo
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Owen, Stuart
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Newman, David
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De Roure, David
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Sufi, Shoaib
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Bechhofer, Sean
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Ainsworth, John
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Bhagat, Jitenkumar
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Buchan, Iain
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Couch, Phillip
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Cruickshank, Don
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Delderfield, Mark
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Dunlop, Ian
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Gamble, Matthew
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Goble, Carole
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Michaelides, Danius
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Missier, Paolo
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Owen, Stuart
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Newman, David
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De Roure, David
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Sufi, Shoaib
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Bechhofer, Sean, Ainsworth, John, Bhagat, Jitenkumar, Buchan, Iain, Couch, Phillip, Cruickshank, Don, Delderfield, Mark, Dunlop, Ian, Gamble, Matthew, Goble, Carole, Michaelides, Danius, Missier, Paolo, Owen, Stuart, Newman, David, De Roure, David and Sufi, Shoaib
(2010)
Why Linked Data is Not Enough for Scientists.
Sixth IEEE e–Science conference (e-Science 2010), Brisbane, Australia.
(Submitted)
Record type:
Conference or Workshop Item
(Paper)
Abstract
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.
Text
research-objects-final.pdf
- Accepted Manuscript
More information
Submitted date: August 2010
Additional Information:
Event Dates: December 2010
Venue - Dates:
Sixth IEEE e–Science conference (e-Science 2010), Brisbane, Australia, 2010-12-01
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 271587
URI: http://eprints.soton.ac.uk/id/eprint/271587
PURE UUID: 752cf7d1-121e-4d62-b29f-6a3a7e305050
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Date deposited: 24 Sep 2010 06:56
Last modified: 15 Mar 2024 03:26
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Contributors
Author:
Sean Bechhofer
Author:
John Ainsworth
Author:
Jitenkumar Bhagat
Author:
Iain Buchan
Author:
Phillip Couch
Author:
Don Cruickshank
Author:
Mark Delderfield
Author:
Ian Dunlop
Author:
Matthew Gamble
Author:
Carole Goble
Author:
Danius Michaelides
Author:
Paolo Missier
Author:
Stuart Owen
Author:
David Newman
Author:
David De Roure
Author:
Shoaib Sufi
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