  Data reuse is fundamental for reducing the data integration effort required
to build data supporting new applications, especially in data scarcity
contexts. However, data reuse requires to deal with data heterogeneity, which
is always present in data coming from different sources. Such heterogeneity
appears at different levels, like the language used by the data, the structure
of the information it represents, and the data types and formats adopted by the
datasets. Despite the valuable insights gained by reusing data across contexts,
dealing with data heterogeneity is still a high price to pay. Additionally,
data reuse is hampered by the lack of data distribution infrastructures
supporting the production and distribution of quality and interoperable data.
These issues affecting data reuse are amplified considering cross-country data
reuse, where geographical and cultural differences are more pronounced. In this
paper, we propose LiveData, a cross-country data distribution network handling
high quality and diversity-aware data. LiveData is composed by different nodes
having an architecture providing components for the generation and distribution
of a new type of data, where heterogeneity is transformed into information
diversity and considered as a feature, explicitly defined and used to satisfy
the data users purposes. This paper presents the specification of the LiveData
network, by defining the architecture and the type of data handled by its
nodes. This specification is currently being used to implement a concrete use
case for data reuse and integration between the University of Trento (Italy)
and the National University of Mongolia.
