corporate systems and educational purposes jisc-cetis 2010#cetis10scs jim everett
TRANSCRIPT
Corporate Systems and Educational Purposes
JISC-CETIS 2010 #cetis10scs
Jim Everett
Review of Course and Class Approval andReview Corporate Information Management Review Records Management Review Timetabling Project
Unified VLE Review of Corporate Governance
Enhancement Led Institutional Review Review How We Do Everything!
Reorganisation and Review
Aspirations
Remove unnecessary steps
Stamp out repetition, duplication and variation
Single source data
Simplify access to data
Squaring the Circle?
Review of Course and Class Approval and Review
General agreement that current arrangements are not tenable
Process modelling Information flow not data structures Decision points not timings or criteria Highlight areas of ambiguity/complexity Propose some innovations
Generalised model addressing the “common variations”
BPMN diagram
Predicated on a data management solution
System’s architecture and technologies overview
Presentation LayerUser Interface Components, Presentation Logic
SharePoint UI, ASP.NET, jQuery, AJAX
Service LayerOrchestration, Service Interfaces, Message Types
Windows Workflow Foundation, Web Services
Business LayerDomain Model, Business Entities, Business Workflows
Domain-Driven-Design, Windows Workflow Foundation, .NET
Data Access LayerO/R Mapping, Service Agents
NHibernate, SharePoint Object Model / Web Services Access Components
Data StoresSQL Server, SharePoint Lists, Document Libraries
Interoperability Problems
The data structures are not the problem! There is a place to hold all the data (more or less)
The problems/bottlenecks/issues centre on Putting the information into the process
On time Complete Compliant with requirements
Getting access to the information When needed In a reusable form Not buried in a mass of irrelevant data
Corporate v. Education?
Academic Entrepreneurs v Academic Innovators Problem is too much entrepreneurialism
Impose discipline on entrepreneurs Problem is NOT too much innovation
Good policies, but not embraced Training and resources, accessed by a few Harness corporate processes to provide
information to quality monitoring
Standards and Specifications
Entirely driven by demands of external agencies HESA, UCAS, Hot Courses Diploma Supplements, Teachers' Profiles
Generally poor fit with internal data requirements Often need to tailor data making whole
automated extraction problematic No desire to pro-actively adopt external data
models, especially for internal applications
Reflections
Approval v. Cycle
Timetable v. Process Flow Unwillingness toEmbrace Complexity
Seeing the Big Picture Why is it so hard to talk about this?
Jim Everett
Development and Innovation Unit
Information Services Directorate
@jeestirling
PiP: Principles in Patterns Project
http://www.principlesinpatterns.ac.uk