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Heidi Plus aims to save time and money by making it quick and easy for decision makers to directly access the information they need. This can free up time for data specialists to interrogate data in depth and produce striking graphics, maps and visualisations. The system’s flexibility enables analysis of HESA’s official data on students, graduates, staff, finances, business interactions and estates.
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By Niall Sclater February 16, 2016 Discovery Stage, Institutional Use, Metrics, Micro-projects, Network, Open learning analytics, Student App A year after our first networking event we were back at the University of East London on 3rd Feb 2016.
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A recent report shows the potential for learning analytics in higher education, says Jisc chief executive Paul Feldman
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In the 12 months since the first shared data centre for research and education was launched by Infinity SDC and Jisc, many of the country’s top universities, colleges and research institutions have joined to improve efficiency, decrease costs and advance collaboration on world-leading research.
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A Google search for ‘improving student experience’ brings up around 30,000 hits.
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Welcome back to the Jisc research data management blog. I wanted to update you on the activities that are underway and the plans that are emerging for new work. This is a bit of long post so thanks for bearing with me! Clearly research data, its management and re-use remains an important issue for the university sector with research funder policies to comply with and also with the longer-term goal of supporting better research and new innovation through accessibility to research data.
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Beneath the floor, between the shelves, propping up the website: you may not be able to see the data in a modern library, but it underpins every book, e-resource and service. Whether user activity data, subscription data or financial information, this vital business intelligence allows librarians to make decisions like: which books should we buy on next year’s budget? When are the journal subscriptions due, and which to renew? How popular are our online portals with staff and students? And, inevitably, where can we make savings? Of course, to curate this kind of information means maintaining data accurately, and that has become a crucial skill – and expense – for library managers.
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Jisc infoNet helps organisations in the Higher Education and Further Education and Skills sectors to operate effectively, get best value for money and deliver excellent quality learning, teaching and research.
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Presentation from Gary Tindell, Information Improvement Manager, University of East London, to the SCONUL Conference 20-21 June 2013, Dublin
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The current buzz and enthusiasm around data is difficult to avoid. Whether it’s the challenges of ‘big data’, the potential of data-driven techniques, or simply the power and clarity of data visualisations; data is inescapably entwined with much of what we do, and the systems and services we provide and use.
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GUIDE Activity data - delivering benefits from the data deluge
Universities and colleges use student data to help make informed decisions which can lead to improved student satisfaction, retention and attainment. However the learning analytics market is undeveloped. Organisations would benefit from tools and exemplars so that they can implement the best solution for their needs and priorities.
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Today we welcome the Higher Education Commission (HEC)'s report ‘From Bricks to Clicks: the potential of data and analytics in Higher Education’.
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Funders now ask that data underpinning published results, and any data with long term value, is made available. This is crucial for both the verification of those results and to maintain the integrity of the research. The data also allows researchers to replicate experiments efficiently and add to existing datasets. What this means in practice is that data needs to be selected, curated, retained and stored, using appropriate metadata.
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Do institutions need to obtain consent from students before collecting and using data about their online learning activities? Should learners be allowed to opt out of having data collected about them? Could showing students predictions about their likelihood of academic success have a negative effect on their motivation and make them more likely to drop out?
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Delivering a shared analytics service for UK academic libraries
Universities and colleges recognise the need to make better use of the data that is generated by their students, researchers and staff as they interact with the systems and services of the institution..
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In collaboration with Loughborough University, RIN has undertaken a high-level analysis of the initial impact of the Jisc Managing Research Data (MRD) programme. This takes the form of a mapping between the deployment of research data management (RDM) policies and practices in UK universities (as described in a recent Loughbrough study covering 38 institutions), and the incidence of institutional project funding from the Jisc MRD programme.
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We have more data than ever available from many internal and external sources which can be overwhelming and difficult to digest. Charts and graphs are, in most cases, the best way to display this information turning complex pages of words and numbers into striking visual stories. Wisely-chosen charts which follow good design principles can help with understanding your data and empower management teams to base their decisions on evidence rather than common wisdom. The science of data visualisation is relatively new and the skills required have to be learned and practised.
Infokit at: http://www.jiscinfonet.ac.uk/infokits/data-visualisation/
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