In this paper we outline a foundational ontology of properties, attributives, and data. This paper takes up ideas in [1] and presents a new ontology of attributes, data and properties. This ontology was motivated by the need to contribute to the theoretical foundation for the evolving data science. The current situation of data overload is caused by lack of methods for abstraction and interpretation of data, but also by an insufficient understanding of the relation between data and knowledge. There is a need for an ontological foundation of these notions which provides a framework for the integration of the manifold of types of data. The first version of this ontology was presented in [2]. In the current paper further details of this theory are elaborated and applied to various ontological regions, taken from physics, biology, and agent-driven process generation.