  The term Data Space, understood as the secure exchange of data in distributed
systems, ensuring openness, transparency, decentralization, sovereignty, and
interoperability of information, has gained importance during the last years.
However, Data Spaces are in an initial phase of definition, and new research is
necessary to address their requirements. The Open Data ecosystem can be
understood as one of the precursors of Data Spaces as it provides mechanisms to
ensure the interoperability of information through resource discovery,
information exchange, and aggregation via metadata. However, Data Spaces
require more advanced capabilities including the automatic and scalable
generation and publication of high-quality metadata. In this work, we present a
set of software tools that facilitate the automatic generation and publication
of metadata, the modeling of datasets through standards, and the assessment of
the quality of the generated metadata. We validate all these tools through the
YODA Open Data Portal showing how they can be connected to integrate Open Data
into Data Spaces.
