4,530 research outputs found

    Open Data, Grey Data, and Stewardship: Universities at the Privacy Frontier

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    As universities recognize the inherent value in the data they collect and hold, they encounter unforeseen challenges in stewarding those data in ways that balance accountability, transparency, and protection of privacy, academic freedom, and intellectual property. Two parallel developments in academic data collection are converging: (1) open access requirements, whereby researchers must provide access to their data as a condition of obtaining grant funding or publishing results in journals; and (2) the vast accumulation of 'grey data' about individuals in their daily activities of research, teaching, learning, services, and administration. The boundaries between research and grey data are blurring, making it more difficult to assess the risks and responsibilities associated with any data collection. Many sets of data, both research and grey, fall outside privacy regulations such as HIPAA, FERPA, and PII. Universities are exploiting these data for research, learning analytics, faculty evaluation, strategic decisions, and other sensitive matters. Commercial entities are besieging universities with requests for access to data or for partnerships to mine them. The privacy frontier facing research universities spans open access practices, uses and misuses of data, public records requests, cyber risk, and curating data for privacy protection. This paper explores the competing values inherent in data stewardship and makes recommendations for practice, drawing on the pioneering work of the University of California in privacy and information security, data governance, and cyber risk.Comment: Final published version, Sept 30, 201

    The Digital Scholar Revisited

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    The book The Digital Scholar was published in 2011, and used Boyer’s framework of scholarship to examine the possible impact of digital, networked technology on scholarly practice. In 2011 the general attitude towards digital scholarship was cautious, although areas of innovative practice were emerging. Using this book as a basis, the author considers changes in digital scholarship since its publication. Five key themes are identified: mainstreaming of digital scholarship, so that it is a widely accepted and encouraged practice; the shift to open, with the emphasis on the benefits that open practice brings rather than the digital or networked aspects; policy implementation, particularly in areas of educational technology platforms, open access policies and open educational resources; network identity, emphasising the development of academic identity through social media and other tools; criticality of digital scholarship, which examines the negative issues associated with online abuse, privacy and data usage. Each of these themes is explored, and their impact in terms of Boyer’s original framing of scholarly activity considered. Boyer’s four scholarly activities of discovery, integration, application and teaching can be viewed from the perspective of these five themes. In conclusion what has been realised does not constitute a revolution in academic practice, but rather a gradual acceptance and utilisation of digital scholarship techniques, practices and values. It is simultaneously true that both radical change has taken place, and nothing has fundamentally altered. Much of the increased adoption in academia mirrors the wider penetration of social media tools amongst society in general, so academics are more likely to have an identity in such places that mixes professional and personal

    Overview and Analysis of Practices with Open Educational Resources in Adult Education in Europe

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    OER4Adults aimed to provide an overview of Open Educational Practices in adult learning in Europe, identifying enablers and barriers to successful implementation of practices with OER. The project was conducted in 2012-2013 by a team from the Caledonian Academy, Glasgow Caledonian University, funded by The Institute for Prospective Technological Studies (IPTS). The project drew on data from four main sources: • OER4Adults inventory of over 150 OER initiatives relevant to adult learning in Europe • Responses from the leaders of 36 OER initiatives to a detailed SWOT survey • Responses from 89 lifelong learners and adult educators to a short poll • The Vision Papers on Open Education 2030: Lifelong Learning published by IPTS Interpretation was informed by interviews with OER and adult education experts, discussion at the IPTS Foresight Workshop on Open Education and Lifelong Learning 2030, and evaluation of the UKOER programme. Analysis revealed 6 tensions that drive developing practices around OER in adult learning as well 6 summary recommendations for the further development of such practices

    ALT-C 2012 Abstracts

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    This is a PDF of the abstracts for all the sessions at the 2012 ALT conference. It is designed to be used alongside the online version of the conference programme. It was made public on 7 September 2012

    Teaching Social Media Analytics: An Assessment Based on Natural Disaster Postings

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    Unstructured data in social media is as part of the “big data” spectrum. Unstructured data in Social media can provide useful insights into social phenomena and citizen opinions, both of which are critical to government policy and businesses decisions. Teachers of business intelligence and analytics commonly use quantitative data from sales, marketing, finance and manufacturing to demonstrate various analytics concepts in a business context. However, researchers have seldom used social media data to analyze social behavior and communication. In this study we aim to demonstrate an assessment structure for teaching social media analytics concepts with the goal of analyzing and interpreting social media content. We base this assessment on forum postings regarding two recent events: the Christchurch earthquake in New Zealand, and the Japanese earthquake and tsunami. The aim of the assessment is to discover social insights. We base the assessment structure on Cooper’s Analytics Framework to cover such concepts as term frequency (TF), term frequency–inverse document frequency (TFIDF), data visualization, sentiments and opinions analysis, the Nearest Neighbor K-NN classification algorithm, and Information Diffusion theory. We review how the students performed on the assignment that used this assessment, and we make recommendations for future studies
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