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This project focuses on improving the efficiency and effectiveness of universities in Norway, Finland, Lithuania, and Italy. By utilizing various indicators—technical, financial, and outcomes like e-learning efficiency and published datasets—we aim to benchmark and share best practices among institutions. Key goals include understanding IT costs, enhancing visibility of licensing, and nurturing partnership opportunities. With an agile approach to data collection and continuous updates on indicators, we foster cooperation across European universities to adapt to emerging needs, such as digital exams.
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Group work results Group 2: participants from Norway, Finland, Lithuania, Italy
Indicators • Technical • Basic measures: e.g. Workstations • Also: Level of virtualization in workstations, • Financial • Mandatory • Dangerous to measure the costs only • Indicators for measuring the outcomes • Efficiency of learning and research: amount of e-learning, number of published data sets • Hot topics for universities • E.g. digital exams are hot right now • How much a LMS is improving efficiency • Improving visibility to license costs • HR: salary levels against the private sector, turnover figure
Why are we doing this • Main goal: to make universities more efficient and effective • Knowing your own data, especially in the distributed part of IT • Selling the selected ITapproach to the rector (e.g. what is the right cost level, what are the right services) • Understanding what others are doing: finding the differences • Partnership opportunities: what tools others are using • Related questions: • How do you convince universities to show their data to others • What tangible improvements have been implemented through benchmarking
The process • The process needs to be fast enough to accommodate emerging new needs (recent example: digital exams) • The result: continuous process: new indicators coming in every year, old ones being dropped out • Requirements fall into three categories • There is a need for core data (exchangeable across countries and stable over time) • There is a need for a customized part for every country • There is a need for an agile approach • Several layers for co-operations • Central tool to be used by all for automating the basic work (e.g. kTI) • Each country to implement its own additional elements (with/without the tool) • European level: EUNIS on a voluntary basis • Chance to meet on a yearly basis • Possibility to transform the work into a European project
