Why Linked Data is Not Enough for Scientists

Author

Bechhofer, Sean ; Ainsworth, John ; Bhagat, Jiten ; Buchan, Iain ; Couch, Philip ; Cruickshank, Don ; Roure, D.D. ; Delderfield, Mark ; Dunlop, Ian ; Gamble, Matthew ; Goble, Carole ; Michaelides, Danius ; Missier, Paolo ; Owen, Stuart ; Newman, David ; S

Author_Institution

Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK

fYear

2010

fDate

7-10 Dec. 2010

Firstpage

300

Lastpage

307

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.

Keywords

cloud computing; electronic publishing; scientific information systems; data fusion; data publishing; data sharing; linked open data cloud; research objects; scientific data publication model; aggregation; e-science; linked data; publishing; research objects;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Science (e-Science), 2010 IEEE Sixth International Conference on

Conference_Location

Brisbane, QLD

Print_ISBN

978-1-4244-8957-2

Electronic_ISBN

978-0-7695-4290-4

Type

conf

DOI

10.1109/eScience.2010.21

Filename

5693931