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.
The authors in REF also favour the ORE approach, arguing that publishing linked data does not meet the requirements of reuse because validation and reproducibility of scientific results requires multiple sources of information, such as provenance, quality, credit, attribution and methods.
Why Linked Data is Not Enough for Scientists
2010 IEEE Sixth International Conference on e-Science
2010 IEEE Sixth International Conference on e-Science
Computer Science