Related JISC funded programmes and projects

The following lists some of the other JISC programmes and projects that are undertaking related work:
  • JISC Business Intelligence programme . which defines business intelligence in the following ways:
    • Business Intelligence (BI)
      Evidence-based decision-making and the processes that gather, present, and use that evidence base. It can extend from providing evidence to support potential students’ decisions about whether to apply for a course, through evidence to support individual faculty/department and staff members, teams and departments, to evidence to support strategic decisions for the whole institution.
    • Business Intelligence System (a BI system, a management dashboard)
      A system that compiles and presents key internal and external information in a concise, pictorial or graphical format, to support decision-making, planning and strategic thinking. It provides easy interactive access to reliable, current, good quality interdepartmental information, when needed. It allows senior management to be confident in the integrity and completeness of the information as they move between an overview and a detailed view. Advanced BI systems provide reliable, comprehensive information to all interested parties and include flexible user- defined views for senior managers and planning staff, and fixed views for public access and other users.
Projects in the programme JISC Business Intelligence programme:
  • BIRD - Business Intelligence Reporting Dashboard : Using the JISC InfoNet BI Resource for guidance, this project will work with key stakeholders to re-define the processes that deliver the evidence base to the right users at the right time and will subsequently develop the BI system using Microsoft SharePoint to deliver the user interface (linked to appropriate data sets through the data warehouse). We will use this interface to simplify the process for requesting data/analysis and will provide personalisation facilities to enable individuals to create an interface that provides the data most appropriate to their needs. As part of the project we will review the JISC InfoNet BI resource, providing recommendations to support the evaluation of the product.
  • Bolt-CAP: Using the requirements of HEFCE TRAC as the base model, the JISC Business Intelligence Infokit and an Enterprise Architecture approach, this project will consider the means by which effective data capture, accumulation, release and reuse can both meet the needs of decision support within the organisation and that of external agencies.
  • Bringing Corporate Data to Life : The aim of the project is to make use of the significant advances in software tools that utilise in- memory technologies for the rapid development of three business intelligence applications (Student Lifecycle, Corporate Performance and Benchmarking). Information in each application will be presented using a range of fully interactive dashboards, scorecards and charts with filtering, search and drill- down and drill- up capabilities. Managers will be engaged throughout the project in terms of how information is presented, the design of dashboards, scorecards and reports and the identification of additional sources of data.
  • Business Intelligence for Learning About Our Students : The goal of this project is develop a methodology which will allow the analysis of the data in an aggregate way, by integrating information in different archives and enabling users to query the resulting archive knowledge base from a single point of access. Moreover we aim to integrate the internal information with publicly available data on socio-economic indicators as provided by Our aims are to study, on a large scale, how student backgrounds impact their future academic achievements and to help the University devise evidence informed policies, strategies and procedures targeted to their students.
  • Enabling Benchmarking Excellence : This project proposes to gather a set of metadata from Higher Education institutions that will allow the current structures within national data sets to be mapped to department structures within each institution. The eventual aim is to make comparative analysis far more flexible and useful to all stakeholders within the HE community. This is the first instance where such a comprehensive use of meta-data to tie together disparate functional organisations has been utilised within the sector, making the project truly innovative.
  • Engage - Using Data about Research Clusters to Enhance Collaboration: The Engage project will integrate, visualise and automate the production of information about research clusters at the University of Glasgow, thereby improving access to this data in support of strategic decision making, publicity, enhancing collaboration and interdisciplinary research, and research data reporting.
Aims and Objectives
    • Field Test JISC InfoNet BI resource and provide feedback to the JISC InfoNet BI team.
    • Explore definitions of what a research cluster, theme or group is and the data requirements of research clusters.
    • Create a method for visualising and presenting data associated with research clusters.
    • Share our story including any issues encountered with the sector.
  • IN-GRiD: The project addresses the process of collection, management and analysis of building profile data, building usage data, energy consumption data, room booking data, IT data and the corresponding financial data in order to improve the financial and environmental decision making processes of the University of Manchester through the use of business intelligence. The main motivation for the project is to support decision making activities of the senior management of the University of Manchester in the area of sustainability and carbon emissions management. The project will minimise the impact on the existing university infrastructure and will facilitate the take up of the project results by the wider community through the adoption of open source technologies and through active participation in dissemination and evaluation activities in collaboration with JISC.
  • Liverpool University Management Information System (LUMIS) : The objectives of LUMIS are to design and implement an MI solution, combining technology with data integrity, business process improvement and change management to create a range of benefits including:
    • effective monitoring and analysis of performance against KPIs
    • timely provision of information to support strategic planning and operational management
    • provision of tools for managers to support devolution of responsibility
    • improved capability for evidence-based decision making
    • standards to support accurate reporting, including statutory returns
    • creation of single sources of data and improved data collection efficiency
    • enhanced capability for data analysis, assessment and interpretation
  • RETAIN: Retaining Students Through Intelligent Interventions : The goal of the RETAIN project is to extend the existing Business Intelligence (BI)functionality that is currently in use at the Open University (OU).
    • The focus will be on using BI to improve student retention. RETAIN will make it possible to:
      • include additional data sources with existing statistical methods
      • use predictive modelling to identify ‘at risk’ students.
Methods will be trialled with a view to longer term uptake and further extensions to BI functionality. The predicted benefits are improved retention and progression, leading to a financial cost saving benefit for the Open University and a better student experience.
  • Supporting institutional decision making with an intelligent student engagement tracking system: This project aims to examine the extent to which the adoption of a student engagement tracking system can support and enhance institutional decision making with evidence in three business intelligence (BI) data subject categories: student data and information, performance measurement and management and strategic planning. More specifically, the project will assess the current and expected institutional BI maturity level in the three chosen BI data subject categories, work with SSP to develop an open source version of the BI decision support toolkit, identify key BI implementation issues and showcasing and promotion of the toolkit to the wider HE community.
  • Visualisation of Research Strength (VoRS) : Many HEIs now maintain repositories containing their researchers‟ publications. They have the potential to provide much information about the research strength of an HEI, as publications are the main output of research. The project aims to merge internal information extracted from an institution‟s publications repository with external information (academic subject definitions, quality of outlets and publications), for input to a visualisation tool. The tool will assist research managers in making decisions which need to be based on an understanding of research strengths across subject areas, such as where to aim internal investment. In the event that the tool becomes a part of a BI resource, It could lead to institution vs institution comparisons and visual benchmarking for research.
  • Publisher and Institutional Repository Usage Statistics 2 (PIRUS2) project . The original PIRUS project demonstrated that it is technically feasible to create, record and consolidate usage statistics for individual articles using data from repositories and publishers, despite the diversity of organizational and technical environments in which they operate. If this is to be translated into a new, implementable COUNTER standard and protocol, further research and development will be required, specifically in the following areas:
    • Technical: further tests, with a wider range of repositories and a larger volume of data, will be required to ensure that the proposed protocols and tracker codes are scalable/extensible and work in the major repository environments.
    • Organizational: the nature and mission of the central clearing house/houses proposed in the original project has to be developed, and candidate organizations identified and tested
    • Economic: we need to assess the costs for repositories and publishers of generating the required usage reports, as well as the costs of any central clearing house/houses; investigate how these costs could be allocated between stakeholders
    • Advocacy: the broad support of all the major stakeholder groups (repositories, publishers, authors) will be required. Intellectual property, privacy and financial issues will have to be addressed
  • The objective of PIRUS2 is to address these issues and by doing so specify standards, protocols, an infrastructure and an economic model for the recording, reporting and consolidation of online usage of individual articles hosted by repositories, publishers and other entities.
    • Journal Usage Statistics Portal (JUSP) project. Libraries spend millions of pounds on electronic journals each year, but gathering statistics about their use hasn't always been easy. Diminishing budgets must demonstrate value for money, and reliable data is key. Comparative usage statistics help evaluate the impact of e- resources and inform future purchasing decisions. The Journal Usage Statistics Portal (JUSP) provides a "one-stop shop" for libraries to view, download and analyse their usage reports from NESLi2 publishers. It responds to current financial challenges with time and cost saving benefits.
    • Making Our Shared Activity Information Count (MOSAIC): MOSAIC investigated the technical feasibility, service value and issues around exploiting user activity data, primarily to assist resource discovery and evaluation in Higher Education. Such activity data might be combined from:
    • The circulation module of Library Management Systems (the initial project focus)
    • ERM system / Resolver journal article access
    • VLE resource and learning object download
    • In addition, reading lists (from a variety of institutional sources, without activity data) may provide key indicators
    • SUSHI (the Standardized Usage Statistics Harvesting Initiative) Protocol has been developed by NISO to enable the automated harvesting of usage data, replacing the time- consuming user- mediated collection of online usage reports. The SUSHI Protocol is designed to be both generalised and extensible, meaning it can be used to retrieve a variety of usage reports. An extension is designed specifically to work with the COUNTER usage reports, which are by far the most widely retrieved usage reports. More information on SUSHI may be found on the NISO website ( )
    • JISC Infonet are developing a business intelligence guide which will be at