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Chinese students studying abroad have been increasing rapidly in the past decades and become a significant financial contribution to receiving countries. Accordingly, understanding their enrollment choice is essential to facilitate college marketing and admission strategies. Though the decision process is believed to be different from domestic students, empirical analysis of Chinese students' enrollment choices is still lacking. This paper fills the void by examining the influential factors of Chinese students' enrollment choice with novel student-level data. We find that in addition to factors domestic students typically consider, such as financial aid and academic quality, Chinese students particularly emphasize college ranking, reputation, and location in their decision process. Furthermore, unlike domestic students who usually prefer colleges with proximity to home, Chinese students' location preference is linked to job prosperity. We also find that the impact of the factors varies for students from different regions of China, which can be attributable to uneven economic development within the country.

This paper compares the use of confidence intervals (CIs) and a sensitivity analysis called the number needed to disturb (NNTD), in the analysis of research findings expressed as 'effect' sizes. Using 1,000 simulations of randomised trials with up to 1,000 cases in each, the paper shows that both approaches are very similar in outcomes, and each one is highly predictable from the other. CIs are supposed to be a measure of likelihood or uncertainty in the results, showing a range of possible effect sizes that could have been produced by random sampling variation alone. NNTD is supposed to be a measure of the robustness of the effect size to any variation, including that produced by missing data. Given that they are largely equivalent and interchangeable under the conditions tested here, the paper suggests that both are really measures of robustness. It concludes that NNTD is to be preferred because it requires many fewer assumptions, is more tolerant of missing data, is easier to explain, and directly addresses the key question of whether the underlying effect size is zero or not.

This paper argues that a data-driven, niche-focused approach to strategy development will assist Higher Education Institutions to direct their financial resources to greater effect by providing a more tailored service to students, therefore, increasing student satisfaction and creating brand loyalty. This approach will give institutions greater stability and prosperity in a constantly changing market. It is, however, the cultural risks which remain the biggest barrier to trying this approach in the UK and this paper aims to open the debate. [ABSTRACT FROM AUTHOR]

This paper uses methods derived from the field of futures studies to explore the future of technology-enhanced assessment. Drawing on interviews and consultation activities with experts, the paper aims to discuss the conditions that can impede or foster "innovation" in assessment and education more broadly. Through a review of relevant research, the paper suggests an interpretive model of the factors sustaining the conservatism of educational assessment: the utilitarian view of education, dominant beliefs about academic excellence, and market or quasi-market dynamics. In the central section of the paper, three scenarios of innovation in assessment are described, developed through an iterative process involving researchers, representatives from the e-assessment industry, and experts from British awarding organisations. In the final section, a critical discussion draws attention to the implications that data pervasiveness and computer-generated predictive models may have for the future of education.

Identifying academic misdemeanours and actual applied effort in student assessments involving practical work can be problematic. For instance, it can be difficult to assess the actual effort that a student applied, the sequence and method applied, and whether there was any form of collusion or collaboration. In this paper we propose a system of using digital logs generated by selected software tools (such as FTK-Forensic Toolkit and EnCase) for the purpose of identifying the effort and sequence of events that students followed to complete their learning activities (say, arriving at conclusions relating to an assessment question) and, thereby, determining whether it is likely that an academic misdemeanour may have occurred. The paper elaborates on an assessment exercise conducted with a cohort of 67 students in a specific class of disciplinary learning, highlighting the process that students have to follow, and then proceeds to show in some details how selected logging facilities can be used to provide evidence that students may have committed an academic misdemeanour. (Contains 7 figures.)

UK universities are accepting increasing numbers of students whose L1 is not English on a wide range of programmes at all levels. These students require additional support and training in English, focussing on their academic disciplines. Corpora have been used in EAP since the 1980s, mainly for research, but a growing number of researchers and practitioners have been advocating the use of corpora in EAP pedagogy, and such use is gradually increasing. This paper outlines the processes and factors to be considered in the design and compilation of an EAP corpus (e.g., the selection and acquisition of texts, metadata, data annotation, software tools and outputs, web interface, and screen displays), especially one intended to be used for teaching. Such a corpus would also facilitate EAP research in terms of longitudinal studies, student progression and development, and course and materials design. The paper has been informed by the preparatory work on the EAP subcorpus of the ACORN corpus project at Aston University.

When attempting to use data to inform practice and policy, the availability, accuracy and relevance of that data are paramount. This article maps the range of users interested in data relating to the UK widening participation (WP) agenda. It explores some challenges associated with identifying, defining, obtaining and using data to inform decisions about targeting and monitoring WP initiatives associated with student access, achievement and progression. It considers the pragmatic and strategic response by different users of institutional WP data within the UK. We use examples from previous institutional and commissioned WP research and evaluations undertaken over the past decade to illustrate some of the tensions concerning the access and assessment of WP data. We argue that whilst the increasing interest in WP participation data and evaluative feedback is commendable, attempts to establish a causal link between WP activity and changes in student awareness, aspiration, access and achievement are not straightforward. The diversity of producers, uses and users of WP data working in different sectors and institutions produces many challenges. The paper concludes with suggestions on ways data could be improved.

Learning analytics, the analysis and representation of data about learners in order to improve learning, is a new lens through which teachers can understand education. It is rooted in the dramatic increase in the quantity of data about learners and linked to management approaches that focus on quantitative metrics, which are sometimes antithetical to an educational sense of teaching. However, learning analytics offers new routes for teachers to understand their students and, hence, to make effective use of their limited resources. This paper explores these issues and describes a series of examples of learning analytics to illustrate the potential. It argues that teachers can and should engage with learning analytics as a way of influencing the metrics agenda towards richer conceptions of learning and to improve their teaching.

Multimedia educational resources play an important role in education, particularly for distance learning environments. With the rapid growth of the multimedia web, large numbers of educational video resources are increasingly being created by several different organizations. It is crucial to explore, share, reuse, and link these educational resources for better e-learning experiences. Most of the video resources are currently annotated in an isolated way, which means that they lack semantic connections. Thus, providing the facilities for annotating these video resources is highly demanded. These facilities create the semantic connections among video resources and allow their metadata to be understood globally. Adopting Linked Data technology, this paper introduces a video annotation and browser platform with two online tools: Annomation and SugarTube. Annomation enables users to semantically annotate video resources using vocabularies defined in the Linked Data cloud. SugarTube allows users to browse semantically linked educational video resources with enhanced web information from different online resources. In the prototype development, the platform uses existing video resources for the history courses from the Open University (United Kingdom). The result of the initial development demonstrates the benefits of applying Linked Data technology in the aspects of reusability, scalability, and extensibility. (Contains 12 figures and 17 footnotes.)

Supporting undergraduate students with their academic literacies has recently been a major focus in higher education in the UK. This paper explores the value of tutor mediation in the context of academic writing development among undergraduate business studies students in open and distance learning, following the dynamic assessment (DA) approach that has been developed within Vygotskian sociocultural theory of learning (Vygotsky, 1978). DA is an assessment approach that blends instruction and assessment. The data, which came from a pilot study of a larger research project, consisted of text-based interaction between a tutor-researcher and two business studies students across various drafts of two assignments in line with the DA approach. This interaction was mediated by computers mainly through emails. The analyses of such interaction suggest that DA can help to identify and respond to the areas that students need the most support in (in this study, managing information flow). Finally, we argue that a learning theory-driven approach such as DA can contribute to undergraduate students' academic writing development by responding to their individual needs. (Contains 3 tables and 6 figures.)

Poverty is generally defined as income or expenditure insufficiency, but the economic condition of a household also depends on its real and financial asset holdings. This paper investigates measures of poverty that rely on indicators of household net worth. We review and assess two main approaches followed in the literature: income-net worth measures and asset-poverty. We provide fresh cross-national evidence based on data from the Luxembourg Wealth Study. (Contains 3 figures, 6 tables, and 16 footnotes.)

In addition to their intended purpose, graded reader texts can be made into a corpus appropriate for use with lower-level learners. Here I consider using such a corpus for data-driven learning (DDL), to make this approach more accessible to intermediate level students. However, how far does grading the corpus in this way compromise the authenticity of the language learners are exposed to? The simplified nature of such corpora may limit learners' exposure to lexical chunks, which are fundamental to the acquisition of natural and fluent language. This paper compares lexical chunks in graded corpora and the British National Corpus, examining frequency, type, and composition, to evaluate the "authenticity" of graded input. Despite some differences, it is argued that the scale and type of lexical chunks are sufficient to provide input that reflects authentic language, suggesting that graded readers may offer an acceptable balance of accessibility and authenticity.

Over recent years there has been considerable confusion over the use of the term "e-book", and this article examines the variety of definitions used to date while proposing a definitive construct. Beginning by examining the definitions of "book", the paper moves on to consider the essential element of a book--the content, and to examine publishing and structural aspects of e-books, as well as their place in libraries, before arriving at a final definition. The definition and its derivation embrace all of the issues that affect the way in which e-books are understood and used today. In conclusion, the article looks at both the genesis of e-books, and the stage of acceptance and adoption that they have reached, with brief reference to 3rd-generation e-book readers available at the time of writing. (Contains 1 table and 3 figures.)

This paper explores challenges arising from research (Daniels & Macnab, 2004), which sought to identify young people aged 14-16 years who were emotionally vulnerable and not in receipt of educational provision within two local UK authorities. Two particular challenges are identified in this research. The first was the challenge of defining the term used to identify the young people. Second, the research faced an almost insurmountable challenge in finding and obtaining data on a sample for which the outcomes of the research may pose a threat to those holding the data. Discussion focuses upon possible ways in which research can address these issues.

Purpose: This paper aims to present findings from a survey that aimed to identify the issues around the use and linkage of source and output repositories and the chemistry researchers' expectations about their use. Design/methodology/approach: This survey was performed by means of an online questionnaire and structured interviews with academic and research staff in the field of chemistry. A total of 38 people took part in the online questionnaire survey and 17 participated in face-to-face interviews, accounting for 55 responses in total. Findings: Members of academic and research staff in chemistry from institutions in the UK were, in general, favourably disposed towards the idea of linking research data and published research outputs, believing that this facility would be either a significant advantage or useful for the research conducted in the domain. Further information about the nature of the research that they conduct, the type of data that they produce, the sharing and availability of research data and the use and expectations of source and output repositories is also discussed. Research limitations/implications: Interpretation of the results must recognise that the majority of the interviewees worked in the area of theoretical/computational chemistry and therefore their views may not be representative of other chemistry research fields. Originality/value: Such data was essential for the business analysis that described the functional requirements for the development of the key deliverable of the source-to-output repositories (StORe) project, the pilot middleware, which aimed to facilitate and demonstrate the bi-directional links between source and output repositories. It also enabled the identification of workflows in research practice and contributed to the prime aspiration of the StORe project which was to invest new value to the intellectual products of academic research.

Background: This paper discusses how collective intelligence (CI) methods can be implemented to improve government data infrastructures, not only to support understanding and primary use of complex national data but also to increase the dissemination and secondary impact of research based on these data. The case study uses the Northern Ireland Longitudinal Study (NILS), a member of the UK family of census/administrative data longitudinal studies (UKLS). Methods: A stakeholder-engaged CI approach was applied to inform the transformation of the NILS Research Support Unit (RSU) infrastructure to support researchers in their use of government data, including collaborative decision-making and better dissemination of research outputs. Results: We provide an overview of NILS RSU infrastructure design changes that have been implemented to date, focusing on a website redesign to meet user information requirements and the formation of better working partnerships between data users and providers within the Northern Ireland data landscape. We also discuss the key challenges faced by the design team during this project of transformation. Conclusion: Our primary objective to improve government data infrastructure and to increase dissemination and the impact of research based on data was a complex and multifaceted challenge due to the number of stakeholders involved and their often conflicting perspectives. Results from this CI approach have been pivotal in highlighting how NILS RSU can work collaboratively with users to maximize the potential of this data, in terms of forming multidisciplinary networks to ensure the research is utilized in policy and in the literature and providing academic support and resources to attract new researchers. [ABSTRACT FROM AUTHOR]

Background: The health sector aims to improve health outcomes and access to healthcare. At the same time, the sector relies on unsustainable environmental practices that are increasingly recognised to be catastrophic threats to human health and health inequities. As such, a moral imperative exists for the sector to address these practices. While strides are currently underway to mitigate the environmental impacts of healthcare, less is known about how health researchers are addressing these issues, if at all. Methods: This paper uses an interview methodology to explore the attitudes of UK health researchers using data-intensive methodologies about the adverse environmental impacts of their practices, and how they view the importance of these considerations within wider health goals. Results: Interviews with 26 researchers showed that participants wanted to address the environmental and related health harms associated with their research and they reflected on how they could do so in alignment with their own research goals. However, when tensions emerged, their own research was prioritised. This was related to their own desires as researchers and driven by the broader socio-political context of their research endeavours. Conclusion: To help mitigate the environmental and health harms associated with data-intensive health research, the socio-political context of research culture must be addressed. [ABSTRACT FROM AUTHOR]

Higher education estates are large and valuable assets that affect diverse stakeholders. Despite recent growth, data on university estates has received little concerted attention from national and international statistics bodies. This paper examines and contrasts the evolution of universities and their estates in the UK and Poland, in the light of the degree of central government control versus institutional autonomy. Given increased international competition for students, staff and research funding, the paper argues that universities and their stakeholders would benefit from more transparency, the development of an agreed set of estate definitions, standards and regular statistical reports. Data based on agreed standards would provide a basis for comparative analysis and help to run better university estates and facilities, thereby enhancing HEI efficiency, effectiveness and environmental sustainability. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 pandemic has presented unique challenges for rapidly designing, initiating, and delivering therapeutic clinical trials. PRINCIPLE (Platform Randomised Trial of Treatments in the Community for Epidemic and Pandemic Illnesses) is the UK national platform investigating repurposed therapies for COVID-19 treatment of older people in the community at high risk of complications. Standard methods of patient recruitment were failing to meet the required pace and scale of enrolment. This paper describes the development and appraisal of a near real-time, data-driven, ethical approach for enhancing recruitment in community care by contacting people with a recent COVID-19 positive test result from the central NHS Test and Trace service within approximately 24-48 h of their test result.Methods: A multi-disciplinary team was formed to solve the technical, ethical, public perception, logistical and information governance issues required to provide a near-real time (approximately within 24-48 h of receiving a positive test) feed of potential trial participants from test result data to the research team. PRINCIPLE was also given unique access to the Summary Care Record (SCR) to ensure safe prescribing, and to enable the trial team to quickly and safely bring consented patients into the trial. A survey of the public was used to understand public perceptions of the use of test data for this proposed methodology.Results: Prior to establishing the data service, PRINCIPLE registered on average 87 participants per week. This increased by up to 87 additional people registered per week from the test data, contributing to an increase from 1013 recruits to PRINCIPLE at the start of October 2020 to 2802 recruits by 20 December 2020. Whilst procedural caveats were identified by the public consultation, out of 2639 people contacted by PRINCIPLE following a positive test result, no one raised a concern about being approached.Conclusions: This paper describes a novel approach to using near-real time NHS operational data to recruit community-based patients within a few days of presentation with acute illness. This approach increased recruitment and reduced time between positive test and randomisation, allowing more rapid evaluation of treatments and increased safety for participants. End-to-end public and patient involvement in the design of the approach provided evidence to inform information governance decisions.Trial Registration: PRINCIPLE is funded by UK Research and Innovation and the Department of Health and Social Care through the National Institute for Health Research. EudraCT number: 2020-001209-22 . 26/03/2020 ISRCTN registry: ISRCTN86534580 . 20/03/2020 REC number: 20/SC/058 IRAS number: 281958. [ABSTRACT FROM AUTHOR]

The UK has been a global leader in the development and regulation of biobanks and bio-databases that facilitate clinical and laboratory access to tissue, blood samples, DNA and data. Yet the persistent barrier to mobilise non-White communities into actively contributing to and, subsequently benefiting from structural and scientific advantages that the UK can offer constitutes a ‘Silent Crisis’. This paper builds on ongoing research on stem cell donations carried out by the authors in the UK. We underline the centrality of the concept of ‘relatedness’ in donor recruitment, and the tricky role it has played, both as a uniting and an alienating force within and between different ethnic communities. We argue that the building of a thick societal relatedness or what we term as ‘polyphonic relatedness’ offers a constructive guidance to overcome the racial disparity in biomaterial donations. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to present the concept of institutions as compliant environments, using data to monitor and enforce compliance with a range of external policies and initiatives, using the particular example of UK higher education (HE) institutions. The paper differs from previous studies by bringing together a range of policies and uses of data covering different areas of HE and demonstrating how they contribute to the common goal of compliance. Design/methodology/approach: The compliant environment is defined in this context and the author has applied the preliminary model to a range of policies and cases that use and reuse data from staff and students in HE. Findings: The findings show that the focus on compliance with these policies and initiatives has resulted in a high level of surveillance of staff and students and a lack of resistance towards policies that work against the goals of education and academia. Research limitations/implications: This is the first study to bring together the range of areas in which policy compliance and data processing are entwined in HE. The study contributes to the academic literature on data and surveillance and on academic institutions as organisations. Practical implications: The paper offers suggestions for resistance to compliance and data processing initiatives in HE. Originality/value: This is the first study to bring together the range of areas in which policy compliance and data processing are entwined in HE. The study contributes to the academic literature on data and surveillance and on academic institutions as organisations. [ABSTRACT FROM AUTHOR]

The adoption of citizen science methodologies by environmental organisations and ecologists entrusts the task of collecting ecological data to non‐experts operating at a local scale. This presents individuals and communities with opportunities to monitor ecological change and contribute to local environmental management. Little is known about why volunteers choose to participate in burgeoning contemporary citizen science research initiatives. The aim of this paper is thus to explore volunteer motivation for involvement in two environmental citizen science initiatives, based in the United Kingdom. It contributes to understandings of the socio‐geographical influences that act on participation in environmental citizen science. It is proposed within this paper that affective connections with local geographies provide a conceptual framework for understanding citizen science motivations. The paper discusses the main themes emerging from site‐based, in‐depth interviews with 22 citizen science participants in various UK locations. The study revealed that early affective bonds formed with ecological spaces endured throughout life courses, while citizen science participation offered a way of remaining connected to local environments. The paper reflects on the endurance of affective environmental bonds and their manifestation within the expressed motivations for citizen science participation, which emerged as fulfilling a compulsion to observe ecological surroundings, a desire to participate in environmental research and a commitment to protecting local environments. The paper proposes that citizen science participation offers a framework to connect to and protect local and global affinity spaces, while assisting in monitoring global environmental change. Little is known about why volunteers choose to participate in burgeoning contemporary citizen science research initiatives, this paper's aim is to explore volunteer motivation for involvement in two environmental citizen science initiatives, based in the United Kingdom. It is proposed that affective connections with local geographies provide a conceptual framework for understanding citizen science motivations. The paper reflects on the endurance of affective environmental bonds and their manifestation within the expressed motivations for citizen science participation, which emerged as fulfilling a compulsion to observe ecological surroundings; a desire to participate in environmental research and a commitment to protecting local environments. [ABSTRACT FROM AUTHOR]

This paper explores the concept of digital modernity, the extension of narratives of modernity with the special affordances of digital networked technology. Digital modernity produces a new narrative which can be taken in many ways: to be descriptive of reality; a teleological account of an inexorable process; or a normative account of an ideal sociotechnical state. However, it is understood that narratives of digital modernity help shape reality via commercial and political decision-makers, and examples are given from the politics and society of the United Kingdom. The paper argues that digital modernity has two dimensions, of progression through time and progression through space, and these two dimensions can be in contradiction. Contradictions can also be found between ideas of digital modernity and modernity itself, and also between digital modernity and some of the basic pre-modern concepts that underlie the whole technology industry. Therefore, digital modernity may not be a sustainable goal for technology development. [ABSTRACT FROM AUTHOR]

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This paper draws on empirical research with NEET populations (16–24-year-olds not in education, employment or training) in the U.K. in order to engage with issues around identification, data and metrics produced through datalogical systems. Our aim is to bridge contemporary discourses around data, digital bureaucracy and datalogical systems with empirical material drawn from a long-term ethnographic project with NEET groups in Leeds, U.K. in order to highlight the way datalogical systems ideologically and politically shape people’s lives. We argue that NEET is a long-standing data category that does work and has resonance within wider datalogical systems. Secondly, that these systems are decision-making and far from benign. They have real impact on people’s lives – not just in a straightforwardly, but in obscure, complex and uneven ways which makes the potential for disruption or intervention increasingly problematic. Finally, these datalogical systems also implicate and are generated by us, even as we seek to critique them. [ABSTRACT FROM PUBLISHER]

Purpose – This paper builds upon existing research into library usage by exploring whether demographic characteristics such as age, gender, ethnicity and country of origin have an effect upon undergraduate library usage at the University of Huddersfield. Design/methodology/approach – The study uses demographic and library usage data for a graduating year of full-time undergraduate students at the University of Huddersfield, and uses statistical tests to explore the significance of the relationship between demographics and usage. Findings – The study finds that there is a statistically significant relationship between demographic characteristics and library usage on some, though not all, dimensions. But in many cases the effect size is small. Research limitations/implications – The study uses data from a single UK university, and the findings may not therefore be generalizable. Furthermore, the study is able to identify statistical relationships but is not able to fully explain why they exist. Practical implications – The findings suggest that library services may need to be shaped differently for different demographic groups of students. Working with students in their own institution, librarians may be able to discover more about why these differences exist. Originality/value – This paper shows a relationship between usage and demographic characteristics among undergraduate students, allowing librarians to consider how better to shape their services to meet student needs. [ABSTRACT FROM AUTHOR]

Purpose - The purpose of this paper is to provide a source of reliable, empirical data regarding the return on investment (ROI) that can be achieved by an organization through various approaches to improving the management of records. It is hoped that these data will help address the current dearth in such evidence in relation to records management and provide a source of citable reference data as part of the business case for investment in records management elsewhere. The paper also aims to explore some of the issues and challenges surrounding the measurement, analysis and interpretation of performance data in relation to records management. Design/methodology/approach - This paper draws on the collected outputs of six UK higher education institutions, each of which were funded to pilot the JISC infoNet Impact Calculator. All six of these projects used the same transparent tool (the Impact Calculator) as the basis for their data collection and analysis, but each chose to apply it to different records management projects and organizational contexts. This paper assesses the key findings from each pilot project in turn, whilst also considering the more general issues and challenges regarding the measurement of impact with regards to records management that has emerged through the collective experience of these projects. Findings - This paper provides demonstrable proof that investment in improvements to records management can realise significant and sustained financial ROI. It also uncovers some interesting variations in this overall picture, making it possible to start to identify which aspect of records management is likely to yield the greatest ROI and at what scale it needs to operate before this can be realised. Originality/value - A previous extensive literature review undertaken by the author indicates that no other such source of empirical data currently exists in an openly accessible published form. It is hoped that doing so in a respected, peer-reviewed journal such as the RMJ will provide a valuable service to records professionals by not only providing such data, but also a full account of the context and methodology used to generate it. [ABSTRACT FROM AUTHOR]

Classical statistical methods for flood frequency estimation assume stationarity in the gauged data. However, recent focus on climate change and, within UK hydrology, severe floods in 2009 and 2015 has raised the profile of statistical analyses that include trends. This paper considers how parameter estimates for the generalised logistic distribution vary through time in the UK. The UK Benchmark Network (UKBN2) is used to allow focus on climate change separate from the effects of land-use change. We focus on the sensitivity of parameter estimates to adding data, through fixed-width moving window and fixed-start extending window approaches, and on whether parameter trends are more prominent in specific geographical regions. Under stationary assumptions, the addition of new data tends to further the convergence of parameters to some final value. However, addition of a single data point can vastly change non-stationary parameter estimates. Little spatial correlation is seen in the magnitude of trends in peak flow data, potentially due to the spatial clustering of catchments in the UKBN2. In many places, the ratio between the 50-year and 100-year flood is decreasing, whereas the ratio between the 2-year and 30-year flood is increasing, presenting as a flattening of the flood frequency curve. [ABSTRACT FROM AUTHOR]

There is a long history in science and technology studies (STS) of tracking problematic objects, such as controversies, matters of concern, and issues, using various digital tools. But what happens when public problems do not play out in these familiar ways? In this paper, we will think through the methodological implications of studying "problems" in relation to recent events surrounding the sharing of patient data in the National Health Service in the United Kingdom. When a data sharing agreement called care.data was announced in 2013, nearly 1.5 million citizens chose to opt out. Yet, in subsequent years, there has been little evidence of a robust public mobilising around data sharing. We will attempt to track this elusive 'non problem' using some digital tools developed in STS for the purpose of mapping issues and problem definitions within science. Although we find these digital tools are unable to capture the "problem," the process of searching helps us map the terrain of the case and forces us to consider wider definitions. [ABSTRACT FROM AUTHOR]

The UK's recent productivity performance has been strikingly weak. Output per hour worked, which increased by around 2.1 per cent per year in the decade leading up to the economic downturn, increased by just 0.2 per cent per year in the ten years following the global financial crisis. This paper presents three 'stylised facts' on the UK's recent productivity performance through the lens of official statistics: the weakness of recent productivity growth; the 'gap' in productivity terms between the UK and other leading economies; and the large differences in productivity between businesses. It surveys recent work by ONS to help researchers and policy-makers to understand the UK's productivity performance, including new experimental and official statistics, analysis and research. It concludes by drawing together the key findings of these new statistics, highlighting how further improvements might be made through the greater use of survey and administrative data. [ABSTRACT FROM AUTHOR]

The ability to identify which factors best capture systematic return covariation is central to applications of multifactor pricing models. This paper uses a common data set to evaluate the performance of various proposed factors in capturing return comovements. Factors associated with the market, size, past return, book-to-market, and dividend yield help explain return comovement on an out-of-sample basis (although they are not necessarily associated with large premiums in average returns). Except for the default premium and the term premium, macroeconomic factors perform poorly. We document regularities in the behavior of the more important factors, and confirm their influence in the Japanese and U.K. markets as well. [ABSTRACT FROM AUTHOR]

Education is undergoing various transformations due to new data-driven educational technologies and the management of educational data through data infrastructures. These technologies are frequently promoted to parents and the profession as being ‘revolutionary’ because they represent a new generation of learning. While computer adaptive tests may arguably improve various efficiencies, the argument that they will revolutionise education requires evaluation. In this paper we draw on the philosophy of Gilles Deleuze and Felix Guattari to theorise (a) the desire for data amongst policymakers and (b) the effects of data infrastructures as systems that coordinate educational thought. We argue that, rather than revolutionising learning as promised, datafication in computer-based modes merely offers more intense expressions of longstanding possibilities for learning. We describe three types of events—breaks, cracks and ruptures—and argue that data-events translate cracks (imperceptible changes that constitute learning) into breaks (information), but either cannot generate rupture (difference) or represent rupture as error. However, the intensification of learning through datafication may, we suggest, rupture educational thought more broadly. [ABSTRACT FROM AUTHOR]

Background: It is recognised as good practice to use qualitative methods to elicit users' views of internet-delivered health-care interventions during their development. This paper seeks to illustrate the advantages of combining usability testing with 'theoretical modelling', i.e. analyses that relate the findings of qualitative studies during intervention development to social science theory, in order to gain deeper insights into the reasons and context for how people respond to the intervention. This paper illustrates how usability testing may be enriched by theoretical modelling by means of two qualitative studies of users' views of the delivery of information in an internet-delivered intervention to help users decide whether they needed to seek medical care for their cold or flu symptoms. Methods: In Study 1, 21 participants recruited from a city in southern England were asked to 'think aloud' while viewing draft web-pages presented in paper format. In Study 2, views of our prototype website were elicited, again using think aloud methods, in a sample of 26 participants purposively sampled for diversity in education levels. Both data-sets were analysed by thematic analysis. Results: Study 1 revealed that although the information provided by the draft web-pages had many of the intended empowering benefits, users often felt overwhelmed by the quantity of information. Relating these findings to theory and research on factors influencing preferences for information-seeking we hypothesised that to meet the needs of different users (especially those with lower literacy levels) our website should be designed to provide only essential personalised advice, but with options to access further information. Study 2 showed that our website design did prove accessible to users with different literacy levels. However, some users seemed to want still greater control over how information was accessed. Conclusions: Educational level need not be an insuperable barrier to appreciating web-based access to detailed health-related information, provided that users feel they can quickly gain access to the specific information they seek. [ABSTRACT FROM AUTHOR]

This paper explores the relationship between changing forms of the governance of education and the growth and uses of data in the context of England - a context that can be described as the most 'advanced' in Europe in terms of data production and use. The paper links the shifting relations between the central department of education (variously known between the 1980s and the time of writing as the Department of Education and Science [DES], Department for Education and Skills [DfES] and the Department for Children, Schools and Families [DCSF]), the local education authorities and the schools to the growth and development of data-based systems of inspection and performance management, and suggests that the massive growth of data has unbalanced the relations of governing and created highly centralised system steering. Recent attempts to 'rebalance' steering through 'intelligent accountability' invoke network principles and self-regulation through self-evaluation, and thus give the appearance of deregulation, but the centre maintains control through its management and use of data, and local government remains peripheral. [ABSTRACT FROM AUTHOR]

The transition to Net Zero rests partly on the widespread adoption of energy-efficient retrofit measures for domestic dwellings. The scale of retrofit efforts is extensive, as up to 80% of the UK's domestic housing stock for 2050 has already been built. To address the scope, data and models will play a crucial role in informing design decisions and optimising retrofit strategies. While new methods and tools for data and modelling in retrofit continue to be developed, the perspectives of professionals using these tools on their quality remain mainly absent from discussion across academia and practice. This study investigated the experiences and perceptions of data and modelling from professionals working in the planning stages of domestic retrofit, serving as a needs-finding exercise driving retrofit planning. Through semi-structured interviews and qualitative coding, the results highlight a critical trade-off between precision, confidence, and the burden of data collection. These findings underscore the need to balance precision, ease of use, and adaptability in data and modelling retrofit tools. Issues around data availability and wider access to data and modelling results across stakeholders emerged as a missed opportunity. [ABSTRACT FROM AUTHOR]

Stakeholder engagement has become a watchword for environmental scientists to assert the societal relevance of their projects to funding agencies. In water research based on computer simulation modelling, stakeholder engagement has attracted interest as a means to overcome low uptake of new tools for water management. An increasingly accepted view is that more and better stakeholder involvement in research projects will lead to increased adoption of the modelling tools created by scientists in water management. However, we cast doubt on this view by drawing attention to how the freedom of stakeholder organizations to adopt new scientific modelling tools in their regular practices is circumscribed by the societal context. We use a modified concept of co-production in an analysis of a case of scientific research on drought in the UK to show how relationships between actors in the drought governance space influence the uptake of scientific modelling tools. The analysis suggests an explanation of why stakeholder engagement with one scientific project led to one output (data) getting adopted by stakeholders while another output (modelling tools) attracted no discernible interest. Our main objective is to improve the understanding of the limitations to stakeholder engagement as a means of increasing societal uptake of scientific research outputs. [ABSTRACT FROM AUTHOR]

Across research in UK Higher Education, the most immanent demands for quality have taken the shape of the Research Assessment Exercise and the Research Excellence Framework (REF). The theorist, Martin, is cautious of the relationship academics have engendered with the process of the REF, asking are we actually creating a Frankenstein monster, becoming complicit in generating quality thresholds and standards that will become our own tormentors? I am taken by the idea of the monster when pursuing alternative discourses of childhood in educational research - fear of its potential to torment seduces me with the promise of dis-order, de-formity, chaos and mutation. The aim of this paper is to resist a fixed, knowable form of 'quality' (in) research, moving between the idea of 'monster' and the formlessness of 'monstrosity' to oppose the epistemological, ontological and ethical paradigms of reason. [ABSTRACT FROM AUTHOR]

Linking historical census data is an important task for the study of the social, economic, and demographic aspects of families and society in the past. Although various (semi-) automatic linking methods have been proposed, state-of-the-art methods have only been targeted at linking records that correspond to individuals. In this paper, we introduce an automatic method aimed at linking both individuals and households across several historical census datasets. The proposed method contains several steps, including data quality analysis and enhancement, household identity detection, as well as individual and household record linking. We have applied this method to a set of six census datasets collected from the district of Rawtenstall in North-East Lancashire in the United Kingdom between 1851 and 1901. Experimental results show that the proposed method can greatly reduce the ambiguity arising from the individual record linkage, and facilitate the accurate matching of households across several decades. [ABSTRACT FROM AUTHOR]

Highlights • UK ethnic foods are popular but information on nutrient composition is lacking. • Standardised procedures and a UK accredited lab were used to produce nutrient data. • Quality assurance procedures ensured reliability of the nutrient data. • These methods will be used to develop a nutrient database of UK ethnic foods. Abstract Minority ethnic groups in UK disproportionately suffer from nutrition related diseases compared to the mainstream population, contributing to widening health inequalities. However, reliable nutrient composition data of the traditional foods of these ethnic groups, which play an important part in their diets, is lacking. This makes it impossible to provide adequate and culturally acceptable nutrition interventions to reduce prevalent metabolic disorders. This study aimed to identify and analyse popularly consumed African and Caribbean foods in the UK for macro and micronutrients. Various approaches including focus group discussions, individual interviews and 24 hr dietary recalls were used to identify traditional foods. Defined criteria were used to prioritise and prepare 33 composite samples (26 dishes, 4 snacks and 3 beverages) for nutrient analyses in a UK accredited laboratory. This study methodology is novel because it uses various approaches to generate new data of commonly consumed ethnic foods and traditional recipes. In addition, the approach used in preparation of the food samples enhanced their authenticity and representativeness compared to previously published work. This paper describes the procedures undertaken and analytical methods used to develop a multi ethnic nutrient data for inclusion in UK food composition tables. [ABSTRACT FROM AUTHOR]

The transition to a low-carbon economy urgently demands better information on the drivers of energy consumption. UK government policy has prioritized energy efficiency in the built stock as a means of carbon reduction, but the sector is historically information poor, particularly the non-domestic building stock. This paper presents the results of a pilot study that investigated whether and how property and energy consumption data might be combined for non-domestic energy analysis. These data were combined in a 'Non-Domestic Energy Efficiency Database' to describe the location and physical attributes of each property and its energy consumption. The aim was to support the generation of a range of energy-efficiency statistics for the industrial, commercial and institutional sectors of the non-domestic building stock, and to provide robust evidence for national energy-efficiency and carbon-reduction policy development and monitoring. The work has brought together non-domestic energy data, property data and mapping in a 'data framework' for the first time. The results show what is possible when these data are integrated and the associated difficulties. A data framework offers the potential to inform energy-efficiency policy formation and to support its monitoring at a level of detail not previously possible. Le passage a une economie bas carbone exige de toute urgence de meilleures informations sur les facteurs de consommation energetique. La politique du gouvernement britannique a donne la priorite a l'efficacite energetique du parc bati en tant que moyen de reduction du carbone, mais ce secteur est historiquement pauvre en informations, s'agissant en particulier du parc bati non residentiel. Cet article presente les resultats d'une etude pilote qui a etudie si et comment les donnees relatives a l'immobilier et a la consommation energetique pouvaient etre combinees afin d'analyser la consommation d'energie non residentielle. Ces donnees ont ete combinees en une « Base de Donnees de l'Efficacite Energetique Non Residentielle », de facon a decrire l'emplacement et les attributs physiques de chaque bien immobilier et sa consommation d'energie. Le but etait d'appuyer la creation d'un eventail de statistiques sur l'efficacite energetique concernant les secteurs industriels, commerciaux et institutionnels du parc bati non residentiel, et de fournir des elements probants solides pour le developpement et le suivi d'une politique nationale d'efficacite energetique et de reduction du carbone. Ces travaux ont rassemble pour la premiere fois sous forme d'un « cadre de reference » des donnees sur l'energie non residentielle, des donnees sur l'immobilier et un mappage de ces donnees. Les resultats montrent ce qu'il est possible de faire lorsque ces donnees sont integrees, ainsi que les difficultes qui s'y rapportent. Un cadre de reference offre la possibilite d'influer sur l'elaboration des politiques d'efficacite energetique et d'en appuyer le suivi a un niveau de precision qui n'etait pas possible auparavant. Mots cles: parc bati, consommation, donnees, base de donnees, statistiques energetiques, energie, politique fondee sur des donnees probantes, cadre de reference [ABSTRACT FROM AUTHOR]

Purpose -- This paper seeks to offer a commentary on Psychologically Informed Services: A Good Practice Guide, a recently published operational guidance document on developing psychologically informed environments (PIEs) in services for homeless people. Design/methodology/approach -- The paper is an invited opinion piece and comment, based on the specialist experience and viewpoint of the authors in education on mental health issues in primary care. Findings -- The new operational guidance is welcomed, with some provisos. Psychologically informed environments are needed not just in homelessness resettlement, but in all areas where services are commissioned; and all commissioned services should take particular care to collect suitable data on the outcomes they aim for and intend to achieve. Originality/value -- There is a great opportunity with GP commissioning to commission services that are psychologically informed and holistic, although it may be hard to ensure services remain user-focused and not disjointed if split up for tendering. Public health leadership on the new Health and Wellbeing Boards will be crucial to integrate services so the new system will not make things worse. Given the need, hopefully a similar drive for PIEs everywhere -- the criminal justice system, care homes and community wellbeing -- will follow. [ABSTRACT FROM AUTHOR]

Foundation degrees have been developed in the UK as a means of meeting the learning needs of paraprofessionals in health and social care and the services within which they work in a cost-effective fashion. Workplace learning is an intrinsic component to these degrees. Taking a socio-cultural perspective, this paper examines how the students' workplaces, life circumstances and sense of career trajectory shaped their learning experience and motivation. A small-scale evaluation study, using semi-structured interviews, focused on the learning experiences of a group of paraprofessionals enrolled in a foundation degree in health and social care. Data revealed fragmented employment patterns, underpinned by consistent vocational drives. While the study resonated with vocation, participants were ambivalent or lacked information about career progression. Workplace conditions, relationships and limited time shaped learning and coping strategies. A strategic and focused approach to student learning is required and includes attention to career pathways, workforce development strategy, the requirements of a range of stakeholders, workplace supervision and support for learning. [ABSTRACT FROM AUTHOR]

The new ENVISAT Advanced Synthetic Aperture Radar (ASAR) Wide Swath Mode (WSM) data provide good potential for routinely monitoring near surface soil moisture due to the increased temporal revisit capability compared with ERS2 SAR. In this paper, we propose a Principal Components Analysis (PCA) to retrieve near-surface soil moisture from ASAR WSM data. The results demonstrate that PCA transformation can at least partially separate or group the effect factors, such as surface roughness, land cover, vegetation, and topography within the limitations of our datasets. The second principal component which was consistent with soil moisture and rainfall-runoff dynamics was representative of the soil moisture Saturation Potential Index over a large area. Validation against field measurements and against the UK Met Office Surface Exchange Scheme shows the retrieval performs with reasonable accuracy. [ABSTRACT FROM AUTHOR]

To provoke debate, the paper, after fifteen years, repeats and expands on an analysis of the use of empirical data and the role of quantification in articles published in some major British journals of sociology. The earlier paper argued that the training of undergraduates, and the influence and example of their teachers, tends to orient them, well before graduate education begins, towards particular kinds of research topic and, where empirical data are used, approaches employing no quantification or very simple techniques. It suggested this would be a self-reinforcing process unless there were far-reaching changes in undergraduate curricula which were unlikely to come about. It predicted that the divide between these aspects of British sociology and that practised in North America and many parts of Europe would widen further. British sociology has become somewhat more empirical over the past fifteen years, with the bulk of this expansion in the qualitative area. The more sophisticated quantitative approaches are not much more in evidence than before. This raises a number of questions which should be a matter of debate. It is worrying that the debate does not seem to be taking place. [ABSTRACT FROM AUTHOR]

Electoral and census data from Great Britain and France are used in a comparative analysis of the levels and determinants of local election turnout in the two countries. First, nine simple propositions about variations in turnout are tested using as similar as possible variables for each country. These variables are then used as the bases for multi-variate regression analyses. The residual cases in each country are compared in order to explore the more qualitative factors which may explain why some localities have a level of participation so much above or below that expected statistically. The paper ends with an attempt to specify an explanatory model of local electoral turnout applicable to both countries. [ABSTRACT FROM AUTHOR]

This paper examines the politicization of gender inequality through a cross-national analysis of attitudes towards inequality between men and women. The data were obtained from national surveys in the United States, Britain, West Germany, Australia and Italy. In all of these countries, attitudes towards gender inequality were found to be associated with the 'left- right' cleavage over economic inequality and redistribution, but they were unrelated to 'new politics' issues. It was also found that attitudes towards gender inequality were more closely integrated into the left-right cleavage in those countries where there was greater awareness of gender issues, and that they had very little net impact on partisanship. Thus high levels of awareness of gender inequality are not associated with the emergence of a new cross-cutting political cleavage. It is concluded that inequality of opportunity between men and women does not constitute part of a new politics agenda, nor does it cross-cut other sources of political interests. It is more plausibly seen as a new element of the well-established left-right cleavage. Consequently, it leaves the structure of political divisions relatively intact. [ABSTRACT FROM AUTHOR]

This article reviews claims that the United Kingdom experienced a ‘pandemic pilgrimage boom’. It contributes findings from an ‘embedded-like’ research project, which drew on data created by the British Pilgrimage Trust (BPT) – a heritage and wellbeing charity that hosts a website hub to support pilgrimage action in the UK – to debate about the impact of COVID-19 on pilgrimage practice. These findings show how a set of uses and meanings about pilgrimage, particularly its affordances for mental health and emotional wellbeing, have resonated during the pandemic, especially at moments of heightened social stress. This has generated greater social traction for pilgrimage, and there may be potential for further growth in response to twenty-first century crises, such as the increasingly apparent impacts of climate change. Learning from the experience of COVID-19, this article encourages research investment in longitudinal data-driven approaches to study the individual and social affordances that pilgrimage offers in view of its modern adaptations and applications. [ABSTRACT FROM AUTHOR]

This article concerns the legal significance of basic information concepts, such as ‘data’ and ‘information’. It describes how the application of laws increasingly turns on the meaning of these concepts. This development partly reflects lawmakers’ generic dreams—that is, a desire to keep abreast of technological change by drafting laws using relatively generic terminology rather than technology- or media-specific rules. The overriding argument is that while the regulatory importance of basic information concepts grows, legal discussion about their meaning is far from satisfactory. In particular, technological developments that are challenging the distinction between information and biological material require jurists to address the meaning of these concepts more rigorously. This involves recalibrating the regulatory principle of technology neutrality so that laws intended for the informational world do not haphazardly enter the biological world. [ABSTRACT FROM PUBLISHER]

The article discusses the use of official numeric datasets in the study of education and social science in Great Britain. The author explains how the fields of political arithmetic and school effectiveness and improvement utilize secondary statistics in order to influence British government policy related to public health and education. Datasets discussed in the article include censuses, the British Labour Force Survey (LFS), and destination surveys. Sources of such British datasets include the Higher Education Statistics Agency (HESA), the Office for National Statistics (ONS), and the UK Data Archive. Other topics discussed include random sampling, population data, and methods for dealing with missing data.

National data shows that the social class gap in higher education (HE) participation is narrowing. Local Aimhigher data explores where and how by creating complex statistical neighbourhood profiles that exploit the large amount of data accessible through the partnership. Baskets of data are used, drawn from Higher Education Statistics Agency (HESA) and Universities and Colleges Admissions Service (UCAS) data bought in by Aimhigher, progression tracking data from Connexions, and local authority and school data on attainment and pupil profiles. Through regular data reporting to partners and responding to local data requests, Aimhigher makes previously hidden trends visible to partners. Such data increases cross-sectoral understanding of the structures and issues in widening participation in schools, colleges and universities and enables inclusion of higher education progression in local educational strategies.With examples from the work of Aimhigherin Greater Manchester, this paper demonstrates how Aimhigher statistical research informs practice and institutional strategies. [ABSTRACT FROM AUTHOR]