Journal article
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. © 2010 IEEE.
Actions
Authors
- Journal:
- Proceedings - 2010 6th IEEE International Conference on e-Science, eScience 2010 More from this journal
- Pages:
- 300-307
- Publication date:
- 2010-01-01
- DOI:
- Language:
-
English
- Pubs id:
-
pubs:351777
- UUID:
-
uuid:0f34184c-2453-48ff-be65-252b6bd664b3
- Local pid:
-
pubs:351777
- Source identifiers:
-
351777
- Deposit date:
-
2013-11-17
Terms of use
- Copyright date:
- 2010
If you are the owner of this record, you can report an update to it here: Report update to this record