Principles governing continuous integration and deployment of value adding services, demand a flexible data model that breaths the oxygen of balancing supply and demand of knowledge and data transfer between applications, the data-lake and entity storage. Feedback loops that leverage human and machine learning insights can support improvement and extension of the profiles in a dynamic way. Being able to integrate with existing data sources is essential for adoption.
Uniting content, data and knowledge in a single data standard lies at the foundation of a modern era knowledge data platform. Elsevier has developed the Content Profiles Standard that allows the modeling of content, data and knowledge in a comprehensive framework. It is self-describing, extensible and multi-shaped. The RDF standard coupled to the XML and HTML5 standards stay at the heart of this foundation.
The content profiles standard is a shared data vocabulary used by business, operations and analytical applications to create, deploy and operate data-driven processes within the company and beyond.
The self-service design is imperative to adoption and build-out. Teams within and outside the company boundaries can use the profile standard to their advantage to create interchange protocols between value adding apps and the data-layer of the enterprise.