A framework for fine-grained data integration and curation, with provenance, in a dataspace

@inproceedings{Archer2009AFF,
  title={A framework for fine-grained data integration and curation, with provenance, in a dataspace},
  author={David W. Archer and Lois M. L. Delcambre and David Maier},
  booktitle={Workshop on the Theory and Practice of Provenance},
  year={2009}
}
Some tasks in a dataspace (a loose collection of heterogeneous data sources) require integration of fine-grained data from diverse sources. This work is often done by end users knowledgeable about the domain, who copy-and-paste data into a spreadsheet or other existing application. Inspired by this kind of work, in this paper we define a data curation setting characterized by data that are explicitly selected, copied, and then pasted into a target dataset where they can be confirmed or replaced… CONTINUE READING
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