Towards an Entity-based Scientific Metadata Schema

During the past fifty years, many metadata schemas have been developed in a variety of disciplines. However, current scientific metadata schemas focus on describing data, but not entities. They are descriptive, but few of them are structural and administrative. SKO Types is an entity-oriented theory for representing and linking Scientific Knowledge Objects by defining entities, relationships between entities, and attributes of each entity in the scientific domain. In SKO management, SKO Types serve as the basis for relating entities, entity components, aggregated entities, relationships and attributes to various tasks, e.g. linked entity, rhetorical structuring, strategic reading, semantic annotating, etc., that users may perform when consulting ubiquitous SKOs. In this paper, we propose an entity-based scientific metadata schema.