Course Data Stage 2 Royal Holloway University of London
Our aim is to use enterprise architecture (EA) techniques to inform a holistic course data ecosystem for Royal Holloway that will provide a strategic foundation for future organisational transformation and compliance around course advertising, course data management and syllabus management. We will then demonstrate how this foundation could be used for automating data feeds by providing two proof of concept course data services: an XCRI-CAP feed for consumption by external aggregators, and a course taxonomy for our new paperless admissions service.
Our objectives are to improve course data information standards and data flows within Royal Holloway, open that data to others to improve course advertising, co-ordinate with other data initiatives such as KIS and HEAR and further the development of our enterprise architecture and business analysis competencies.
Anticipated Outputs and Outcomes
We anticipate improving our understanding of course semantics, data and information including glossaries, vocabularies, contexts and publishing channels, to map the relationships between these, provide a service for generating and publishing XCRI-CAP data and have investigated using this data as the basis for improving course data flows to internal services.