Why Linked Data Is Not Enough for Scientists. Bechhofer, S.; Buchan, I.; De Roure, D.; Missier, P.; Ainsworth, J.; Bhagat, J.; Couch, P.; Cruickshank, D.; Delderfield, M.; Dunlop, I.; Gamble, M.; Michaelides, D.; Owen, S.; Newman, D.; Sufi, S.; and Goble, C. 29(2):599–611.
Why Linked Data Is Not Enough for Scientists [link]Paper  doi  abstract   bibtex   
[Abstract] 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. [Highlights] [::] We identify and characterise different aspects of reuse and reproducibility. [::] We examine requirements for such reuse. [::] We propose a scientific data publication model that layers on top of linked data publishing.
@article{bechhoferWhyLinkedData2013,
  title = {Why Linked Data Is Not Enough for Scientists},
  author = {Bechhofer, Sean and Buchan, Iain and De Roure, David and Missier, Paolo and Ainsworth, John and Bhagat, Jiten and Couch, Philip and Cruickshank, Don and Delderfield, Mark and Dunlop, Ian and Gamble, Matthew and Michaelides, Danius and Owen, Stuart and Newman, David and Sufi, Shoaib and Goble, Carole},
  date = {2013-02},
  journaltitle = {Future Generation Computer Systems},
  volume = {29},
  pages = {599--611},
  issn = {0167-739X},
  doi = {10.1016/j.future.2011.08.004},
  url = {https://doi.org/10.1016/j.future.2011.08.004},
  abstract = {[Abstract]

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.

[Highlights]

[::] We identify and characterise different aspects of reuse and reproducibility. [::] We examine requirements for such reuse. [::] We propose a scientific data publication model that layers on top of linked data publishing.},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-9696938,~to-add-doi-URL,free-scientific-knowledge,metadata,metaknowledge,open-data,open-science,reproducibility,reproducible-research,research-metrics,science-2-0,scientific-knowledge-sharing,semantics,technical-vs-scientific},
  number = {2}
}
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