  To ensure high quality of and trust in both metadata and data, their
representation in RDF must satisfy certain criteria - specified in terms of RDF
constraints. From 2012 to 2015 together with other Linked Data community
members and experts from the social, behavioral, and economic sciences (SBE),
we developed diverse vocabularies to represent SBE metadata and rectangular
data in RDF.
  The DDI-RDF Discovery Vocabulary (DDI-RDF) is designed to support the
dissemination, management, and reuse of unit-record data, i.e., data about
individuals, households, and businesses, collected in form of responses to
studies and archived for research purposes. The RDF Data Cube Vocabulary (QB)
is a W3C recommendation for expressing data cubes, i.e. multi-dimensional
aggregate data and its metadata. Physical Data Description (PHDD) is a
vocabulary to model data in rectangular format, i.e., tabular data. The data
could either be represented in records with character-separated values (CSV) or
fixed length. The Simple Knowledge Organization System (SKOS) is a vocabulary
to build knowledge organization systems such as thesauri, classification
schemes, and taxonomies. XKOS is a SKOS extension to describe formal
statistical classifications.
  In this paper, we describe RDF constraints to validate metadata on
unit-record data (DDI-RDF), aggregated data (QB), thesauri (SKOS), and
statistical classifications (XKOS) and to validate tabular data (PHDD) - all of
them represented in RDF. We classified these constraints according to the
severity of occurring constraint violations. This technical report is updated
continuously as modifying, adding, and deleting constraints remains ongoing
work.
