Linked Data is an approach to sharing data in flexible, standardized forms. By transforming existing data into linked data we can enable the discovery of new knowledge and increase the value of existing resources. The goal of the CEBS Linked Data Project has been to develop a prototype that takes tabular data from the SIFT data files for selected carcinogenicity and toxicity studies, converts it into linked data form, enriches it using biomedical ontologies, and queries the results to produce summary information about the studies. Source code, supporting documentation, and RDF and CEBS data examples are provided here to explain how linked data increases the value of existing resources.
Get started by reviewing how to search NTP Long Term General Toxicology and Carcinogenicity study data using the SPARQL query application.View
Review a subset of NTP Long Term General Toxicology and Carcinogenicity data in RDF format using the Ontology for Biomedical Investigations (OBI) and other ontologies.View
Download program to convert CEBS formatted data to RDF Turtle format. Source code is also available as implementation reference.View
See how the data is linked to community standards such as the Ontology for Biomedical Investigations (OBI) and other Open Biomedical Ontologies (OBO).View