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Leveraging the DDI Model for Linked Statistical Data in the Social, Behavioural, and Economic Sciences

Thomas Bosch , Richard Cyganiak , Joachim Wackerow , Benjamin Zapilko
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SCOPUS ID: 84868582043 Wikidata ID: Q68239960
Abstract

Experts from the statistical domain worked in close collaboration with ontology engineers to develop an ontology of a subset of the Data Documentation Initiative, an established international standard for the documentation and management of data from the social, behavioral, and economic sciences. Experts in the statistics domain formulated use cases which are seen as most significant to solve frequent problems. Various benefits for the Linked Data and the statistics community as well are connected with an RDF representation of the developed ontology. In the main part of the paper, the DDI conceptual model as well as implementations are explained in detail.

Author information

Thomas Bosch
GESIS – Leibniz Institute for the Social Sciences Square B2, 1 68159 Mannheim, Germany, DE
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Richard Cyganiak
Digital Enterprise Research Institute, IE
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Joachim Wackerow
GESIS – Leibniz Institute for the Social Sciences, DE
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Benjamin Zapilko
GESIS – Leibniz Institute for the Social Sciences, DE
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Cite this article

Bosch, T., Cyganiak, R., Wackerow, J., & Zapilko, B. (2012). Leveraging the DDI Model for Linked Statistical Data in the Social,  Behavioural, and Economic Sciences. International Conference on Dublin Core and Metadata Applications, 2012. https://doi.org/10.23106/dcmi.952135935

DOI : 10.23106/dcmi.952135935

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