  We present DINGO (Data INtegration for Grants Ontology), an ontology that
provides a machine readable extensible framework to model data for
semantically-enabled applications relative to projects, funding, actors, and,
notably, funding policies in the research landscape. DINGO is designed to yield
high modeling power and elasticity to cope with the huge variety in funding,
research and policy practices, which makes it applicable also to other areas
besides research where funding is an important aspect. We discuss its main
features, the principles followed for its development, its community uptake,
its maintenance and evolution.
