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About LinkedCT

The Linked Clinical Trials (LinkedCT) project aims at publishing the first open Semantic Web data source for clinical trials data. The data exposed by LinkedCT is generated by (1) transforming existing data sources of clinical trials into RDF, and (2) discovering links between the records in the trials data and several other data sources. Refer to the stats for the latest statistics about the data.

The LinkedCT data space is published according to the principles of publishing Linked Data. These principles greatly enhance adaptability and usability of data on the web. Each entity in LinkedCT is identified by a unique HTTP dereferenceable Uniform Resource Identifier (URI). When the URI is looked up, related RDF statements about the entity is returned in HTML or RDF/XML based on the user’s agent. Moreover, a SPARQL endpoint is provided as the standard access method for RDF data.

Citation

If you use the data or just would like to refer to this work in a publication, we kindly ask you to use the following citation:

Hassanzadeh, Oktie, and Renée J. Miller. "Automatic Curation of Clinical Trials Data in LinkedCT." ISWC 2015. 270-278. http://link.springer.com/chapter/10.1007/978-3-319-25010-6_16

BibTeX:

@inproceedings{DBLP:conf/semweb/HassanzadehM15,
  author    = {Oktie Hassanzadeh and
               Ren{\'{e}}e J. Miller},
  title     = {Automatic Curation of Clinical Trials Data in LinkedCT},
  booktitle = {The Semantic Web - {ISWC} 2015 - 14th International Semantic Web Conference,
               Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part {II}},
  pages     = {270--278},
  year      = {2015},
  url       = {http://dx.doi.org/10.1007/978-3-319-25010-6_16},
}

Contact

Please check the FAQ if you have any questions about this project. Also, please use our issues page to report problems or suggest new features. You can also email us at: admin at linkedct.org