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To ensure high quality of and trust in both metadata and data, theirrepresentation in RDF must satisfy certain criteria - specified in terms of RDFconstraints. From 2012 to 2015 together with other Linked Data communitymembers and experts from the social, behavioral, and economic sciences (SBE),we developed diverse vocabularies to represent SBE metadata and rectangulardata in RDF.  The DDI-RDF Discovery Vocabulary (DDI-RDF) is designed to support thedissemination, management, and reuse of unit-record data, i.e., data aboutindividuals, households, and businesses, collected in form of responses tostudies and archived for research purposes. The RDF Data Cube Vocabulary (QB)is a W3C recommendation for expressing data cubes, i.e. multi-dimensionalaggregate data and its metadata. Physical Data Description (PHDD) is avocabulary to model data in rectangular format, i.e., tabular data. The datacould either be represented in records with character-separated values (CSV) orfixed length. The Simple Knowledge Organization System (SKOS) is a vocabularyto build knowledge organization systems such as thesauri, classificationschemes, and taxonomies. XKOS is a SKOS extension to describe formalstatistical classifications.  In this paper, we describe RDF constraints to validate metadata onunit-record data (DDI-RDF), aggregated data (QB), thesauri (SKOS), andstatistical classifications (XKOS) and to validate tabular data (PHDD) - all ofthem represented in RDF. We classified these constraints according to theseverity of occurring constraint violations. This technical report is updatedcontinuously as modifying, adding, and deleting constraints remains ongoingwork.

Constraints to Validate RDF Data Quality on Common Vocabularies in the Social, Behavioral, and Economic Sciences