Course Data Stage 2 St George's University of London
A key driver for St George’s, University of London (SGUL) is to improve quality, access and relevance of information for prospective students and their advisors. Many of SGUL’s medical and healthcare courses require significant commitment from students (longer terms, working outside normal hours, travelling to placements etc.), and it is essential that prospective students truly understand the nature of the course and whether it is right for them.
There are organisational drivers too. For SGUL the complexity of managing a joint faculty with Kingston University, NHS contracts and programmes delivered in the UK and overseas with international partners necessitates a fundamental review of our approach. The complexity of managing two very different sets of regulations, IT systems, quality assurance processes and more has significant risks in terms of accuracy, timeliness and efficiency of production of information. In addition over 200 part time CPD courses are offered via NHS London each year and reaching the right NHS staff and sponsors is a significant challenge.
This project has been devised to enable SGUL to investigate methods to collate, maintain, share and publish course programme information for a variety of internal and external purposes, including printed and online prospectus information, Key Information Set, Wide Information Set, UCAS profiles and Higher Education Achievement Record data, and an effective internal enquiries management dataset. It is also devised to meet the needs of NHS London in providing commissioned CPD courses in a format ready to be uploaded to a currently planned NHS London portal. The project will deliver as a minimum a system generated XCRI-CAP feed with a COOL URI of course provision and changes to processes and procedures. SGUL will work with partner institutions and with the JISC Course Data Management community to share approaches, test the software to support XCRI-CAP feeds and support the proof-of-concept aggregator and discovery service.
The project will:
- Develop and deliver one authoritative and managed source of course information for a variety of different internal and external sources
- Identify data needs for different audiences and stakeholders
- Complete a review of current data storage methods, locations and responsibilities
- Develop data collection methods based on best practice
- Develop a resource for the storage, publishing and export of course marketing data
- Create an XCRI-CAP feed with COOL URI and work with the JISC Course Data Management community to test software to support feeds and the proof-of-concept aggregator and discovery service.
Anticipated Outputs and Outcomes
- Data specification for the storage of XCRI-CAP data that can provide required feed
- Policy on sharing output with Kingston University (KU) for courses that are SGUL and KU awards
- Policy on data retention and historical legacy
- Policy on sharing output with NHS London who are building a portal for all CPD provision across the wider London area
- Shared resource for data storage
- Process maps and protocols for update and management of course data
- Production of output files for external purposes
- Agreed input for related KIS and HEAR development plans
- Revised and updated course data web presence
- Project plan for course approval review project.
Oliver Hannan, St George’s, University of London (SGUL), Registry, T: 020 8725 3642, F: 020 8725 0841 email@example.com
There may be additional members joining the Project Team at various stages of the project, including academic representation and representation from the student body.