Initiate

Public engagement additional award to 'Speaking Out', administered by ScotPEN on behalf of WT. Workshops and exhibition that may need to modified in light of Covid-19. To be run by the Project Archivist funded through the main grant. 

The project was originally timetabled to run from July - Dec 2021 but dates are being reviewed to enable tie-in with the main Speaking Out project, which has been delayed as a result of COVID.

This project is supported by an award of £7,000 from Wellcome Research Resources.

Current project status

Report Date RAG Budget Effort Completed Effort to complete
August 2023 GREEN 183.0 days 183.0 days 0.0

Current project status

Report Date RAG Budget Effort Completed Effort to complete
July 2022 AMBER 0.0 days 0.0 days 0.0

This annual project will:

  • Introduce the latest patches and features to production as soon as possible 

  • Resolve any service degrading bugs in our current version  

  • Review provisioning and account management tools/options 

  • Provides an opportunity to optimise platform configuration in line with the outputs of the Reporting and Analytics Roadmap  

  • Demonstrate commitment to using QlikView and QlikSense to its full potential 

  • Maintain Skill base around Qlik software 

To migrate the University of Edinburgh IP Management Platform: Inteum along with the adopted processes from the Tech Transfer Team embedded within Edinburgh Innovations (EI).

 

The current platform is equipped with a web site called Inventor Portal used to engage with Academics who are in demand for IP disclosure and patenting. Therefore, the Inventor Portal is part of the project and has to be migrated/re-developed.

 

This is the right project

Our existing approach to student number planning and fee income forecasting is both piecemeal and not fit for purpose, yet this is an area of planning which is strategically critical to the university. The existing tool (diagonal tables) which is used centrally, is not much used in Colleges/Schools, and other strategic modelling is carried out in GaSP but not made generally available. A more sophisticated and integrated BI/MI approach would allow us the opportunity to model more flexibly (at either granular or high level), and provide customised outputs.

Creation of a single team for pre- and post- award research services supporting the achievement of the University’s research ambitions