Why linked data is not enough for scientists

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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

172 Downloads (Pure)

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. © 2010 IEEE.
Original languageEnglish
Title of host publicationProceedings - 2010 6th IEEE International Conference on e-Science, eScience 2010|Proc. - IEEE Int. Conf. e-Sci., eScience
PublisherIEEE Computer Society
Pages300-307
Number of pages7
ISBN (Print)9780769542904
DOIs
Publication statusPublished - 2010
Event2010 6th IEEE International Conference on e-Science, eScience 2010 - Brisbane, QLD
Duration: 1 Jul 2010 → …

Publication series

NameProceedings - 2010 6th IEEE International Conference on e-Science, eScience 2010

Conference

Conference2010 6th IEEE International Conference on e-Science, eScience 2010
CityBrisbane, QLD
Period1/07/10 → …

Fingerprint

Dive into the research topics of 'Why linked data is not enough for scientists'. Together they form a unique fingerprint.

Cite this