Pack: Why Linked Data is Not Enough for Scientists

Created: 2010-10-08 14:52:36      Last updated: 2010-12-09 22:20:39
Information Live view

Title: Why Linked Data is Not Enough for Scientists


Information Description

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.

by Sean Bechhofer, John Ainsworth, Jiten Bhagat, Iain Buchan, Phillip Couch, Don Cruickshank, David De Roure, Mark Delderfield, Ian Dunlop, Matthew Gamble, Carole Goble, Danius Michaelides, Paolo Missier, Stuart Owen, David Newman, Shoaib Sufi

 

Subscribe to RSS feed for items in this pack feed Download Information Items (6)



Information Relationships (0)

There are no relationships.



Information Download


Information Creator

6 items in this pack

Information License

All versions of this Pack are not licensed.

Information Tags (2)

Log in to add Tags

Information Tags from Items (0)

None

Information Shared with Groups (0)

None

Information Favourited By (2)

Information Statistics

1651 viewings

469 downloads

[ see breakdown ]

 



Comments Comments (0)

No comments yet

Log in to make a comment


What is this?

Linked Data

Non-Information Resource URI: http://www.myexperiment.org/packs/147


Alternative Formats

HTML
RDF
XML