Post on 26-Jul-2020
Dr. Dale PetersDirector – eResearchUniversity of Cape Town
Evolution of a national support service for
South African eResearch facilities
Agenda
• Background
• From infrastructure to service
• Collaborative service in HE sector
• User service model
• Conclusions
Background
Cloud infrastructure
Science Projects:
Astronomy
Bioinformatics
RDM Research project
ilifu
From Infrastructure Development to
Service Orientation
eResearch Support Services
Federated services
Collaborative Service Development
Phase 1: CoP pilot
• Training, collaboration, consultation, software engineering
Phase 2: Hybrid cloud brokerage service
• HPC, cloud compute, data storage
Phase 3: Embedded services
• eResearch analysts
https://www.ft.com/content/9a56376e-1582-11e9-a581-4ff78404524e
User Service Model
Conclusions
https://wun.ac.uk/article/uct-calls-on-all-to-commit-to-finding-solutions-to-the-current-situation-in-south-africa
L E V E L 1
Initial Processes unpredictable, poorly
controlled and reactive
L E V E L 2
Managed Processes characterised for projects
and is often reactive
L E V E L 3
DefinedProcesses characterised for the
organisation and is proactive
L E V E L 4
Quantitatively managed
Processes measured
and controlled
L E V E L 5
OptimisingFocus on process
improvement
C H A R A C T E R I S T I C S O F T H E M AT U R I T Y L E V E L S
diagram adapted from: www.ewsolutions.com/fundamentals-capability-maturity-model/
https://medium.com/ussbriefs/the-hostile-environment-in-british-universities-c8d2c04da064
References
• Page-Shipp, R.J. et al (2005) e-Research support services, South African Journal of Information Management http://hdl.handle.net/10204/2333
• NICIS Framework Report (2014). https://www.dst.gov.za/images/NICIS_Framework_Report_December_2013_26_May_2014.pdf
• SARIR Roadmap (2014). https://www.dst.gov.za/images/pdfs/SARIR%20Report%20Ver%202.pdf
End
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