Advanced SearchSearch Tips
Deriving the Properties of Object Types for Research Data Relation Model
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Deriving the Properties of Object Types for Research Data Relation Model
Kim, Suntae;
  PDF(new window)
In this study, the properties of the object types required to describe the relationship among research data resources, which may be generated during the life cycle of the research, are derived. The properties of Fedora Commons and DSpace, which are open source software used for resource management, and schema properties published in DataCite were analyzed. Based on relation names of Fedora Commons, nine new relation names were derived. Thirty-eight object type properties consolidating the target properties of the analysis were derived. The result of this study can be used as basic material for crosswalk research studies of object type relation terms to ensure interoperability among the systems.
Object type relation;Fedora Commons;DSspace;DataCite;Research Data;Scientific Data;
 Cited by
Goranova, M., Shishedjiev, B., & Georgieva, J. (2011). Research on Building Scientific Data Ontology. 2011 Developments in E-systems Engineering (pp. 541-546). Dubai: IEEE Press.

Soldatova, L. N., & King, R. D. (2006). An ontology of scientific experiments. Journal of the Royal Society Interface 3, 795-803. crossref(new window)

Shotton, D. (2011). DataCite2RDF-Mapping Data Cite Metadata Scheme Terms to ontologies. Retrieved from

Washington, N., & Lewis, S. (2008). Ontologies: Scientific Data Sharing Made Easy. Retrieved from