Institutional Data Management for Personalisation and Syndication (ID-MAPS)
Overview
ID-MAPS will produce a single logical institutional data infrastructure based on the University's corporate ERP system, augmented by a diverse range of localised systems such as VLEs, and delivered as a service supported by access policies and defined data interfaces. This will produce the accurate, timely data management that is key both to realising the full benefit of current and future investment in systems and to delivering extensive personalisation of data to the end user. Benefits will be demonstrated by pilots which will utilise the data infrastructure and exploit Web 2.0 technologies to deliver a rich user experience via a variety of platforms.
Aims and objectives
The overall aim is to produce an exemplar institutional data infrastructure with associated data access policies and interfaces and to evaluate their benefits in the context of Web 2.0 systems. Specific objectives are to:
-
investigate existing structures, requirements, and the fitness for purpose of existing solutions;
-
specify a flexible information architecture of core user data which can be adapted and extended to meet specialised application needs;
-
implement data infrastructure and supporting systems;
-
specify and deploy interfaces to enable data exchange and reuse across a range of systems;
-
demonstrate, document and disseminate all appropriate policies, models and findings.
Project methodology
The project will consist of three main phases:
Service descriptions, policies etc. will be produced as the work progresses.
Anticipated outputs and outcomes
-
Best practice models for undertaking an institutional data infrastructure review
-
Technology demonstrator of the institutional data model
-
Fully documented exemplar service descriptions and policy framework
-
Data management policies published as reusable templates
-
Demonstrator of an integrated systems architecture using Web 2.0 technologies
Technology / Standards used
The project will encourage the adoption of open standards based APIs and support infrastructures across the range of institutional systems. These will include those developed under the OpenEAI Project, along with established REST and SOAP approaches.
Lead Institution
Project Staff
Project Manager
Project Team
-
Alan Cecchini, SAP Development, ISS
-
Gary Davison, Information Applications & Delivery, ISS
-
Jon Dowland, Unix Infrastructure, ISS
-
Clare Johnson, SAP Development, ISS
-
Andrew Martin, Academic Services Support & Development, ISS
-
John Moss, Learning Technology for Medical Sciences
-
Jonathan Noble, Windows Infrastructure, ISS
-
Cal Racey, Middleware, ISS
-
John Snowdon, Learning Technology for Medical Sciences
-
Paul Thompson, Information Applications & Delivery, ISS
-
Steve Williams, Director, ISS
-
Dave Wolfendale, Assistant Director, Customer Services, ISS
All the project team are at Newcastle University and can be contacted collectively via idmaps@ncl.ac.uk