arrow
Return

Why linked data is not enough for scientists

delete2013-02-01
delete173
delete
OA
AI
S
Sean Bechhofer *
I
Iain Buchan
D
David De Roure
P
Paolo Missier
J
John Ainsworth
J
Jiten Bhagat
P
Philip Couch
D
Don Cruickshank
M
Mark Delderfield
I
Ian Dunlop
M
Matthew Gamble
D
Danius Michaelides
S
Stuart Owen
D
David Newman
S
Shoaib Sufi
C
Carole Goble
DOI:10.1016/j.future.2011.08.004delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
Scientific data represents a significant portion of the linked open data cloud and scientists stand to benefit from the data fusion capability this will afford. Publishing linked data into the cloud, however, does not ensure the required reusability. Publishing has requirements of provenance, quality, credit, attribution and methods to provide the reproducibility that enables 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. (C) 2011 Elsevier B.V. All rights reserved,
Keywords:
Research object
Linked data
Reproducibility
Reuse
Sharing
Publishing
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

F
Future Generation Computer Systems-The International Journal of eScience
IF:
6.1
Papers:
6.8K
Citations:
2.3W

Organization

U
university of southampton
Scholars:
3.3W
Papers: 3.2W
Citations: 52
U
University of Manchester
Scholars:
5.7W
Papers: 5.2W
Citations: 7.4W