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The purpose of this study is to offer a checklist that can be used for both creating and evaluating digital collections, which are also sometimes referred to as data sets as part of the collections as data movement, suitable for computational use.

The checklist was built by synthesising and analysing the results of relevant research literature, articles and studies and the issues and needs obtained in an observational study. The checklist was tested and applied both as a tool for assessing a selection of digital collections made available by galleries, libraries, archives and museums (GLAM) institutions as proof of concept and as a supporting tool for creating collections as data.

Over the past few years, there has been a growing interest in making available digital collections published by GLAM organisations for computational use. Based on previous work, the authors defined a methodology to build a checklist for the publication of Collections as data. The authors’ evaluation showed several examples of applications that can be useful to encourage other institutions to publish their digital collections for computational use.

While some work on making available digital collections suitable for computational use exists, giving particular attention to data quality, planning and experimentation, to the best of the authors’ knowledge, none of the work to date provides an easy-to-follow and robust checklist to publish collection data sets in GLAM institutions. This checklist intends to encourage small- and medium-sized institutions to adopt the collection as data principles in daily workflows following best practices and guidelines.

This study holistically and systematically consolidates the available research on digital reading to reveal the research trends of the past 20 years. Moreover, it explores the thematic evolution, hotspots and developmental characteristics of digital reading. This study, therefore, has the potential to serve as a research guide to researchers and educators in relevant fields.

The authors applied a bibliometric approach using Derwent Data Analyzer and VOSviewer to retrieve 2,456 publications for 2003–2022 from the Web of Science (WoS) database.

The results revealed that most studies' participants were university students and the experimental methods and questionnaires were preferred in digital reading researches. Among the influential countries or regions, institutions, journals and authors, the United States of America, University of London, Electronic Library and Chen, respectively, accounted for the greatest number of publications. Moreover, the authors identified the developmental characteristics and research trends in the field of digital reading by analyzing the evolution of keywords from 2003–2017 to 2018–2022 and the most frequently cited papers by year. “E-books,” “reading comprehension” and “literacy” were the primary research topics. In addition, “attention,” “motivation,” “cognitive load,” “dyslexia,” “engagement,” “eye-tracking,” “eye movement,” “systematic analysis,” “meta-analysis,” “smartphone” and “mobile reading/learning” were potential new research hotspots.

This study provides valuable insights into the current status, research direction, thematic evolution and developmental characteristics in the field of digital reading. Therefore, it has implications for publishers, researchers, librarians, educators and teachers in the digital reading field.

This study aims to understand the research data management (RDM) services offered by academic libraries in South Asian and Southeast Asian countries. This study aims to evaluate the library and information science professionals’ required RDM skills and the challenges faced with providing RDM services.

The research methodology for this study used a survey method with purposive sampling. Data were collected through online structured questionnaires, which were used to examine the current state of RDM services offered in academic libraries in South Asia and Southeast Asia.

South Asian and Southeast Asian region major types of RDM services provided were data repository, data management training, maintaining Web resources, data study and analysis, and promoting awareness of reusable data sources. Little attention was given to advisory services on data analysis/mining/visualization and supporting reproducibility and workflow transparency. The results indicated that most respondents agreed that metadata standards and data management planning skills were required for RDM services in South Asia and Southeast Asia.

This study is significant because it offers a comprehensive assessment of ongoing RDM services in academic libraries of South Asia and Southeast Asia. Most current literature focuses on best practices in developed nations. This study highlights the need for more competent and dedicated academic staff for effective RDM services. Library professionals can use this study to identify the gaps in RDM services and suggest formative measures to overcome such challenges.

This research aims to analyse the current state of research on the application of Artificial Intelligence (AI) in libraries by examining document type, publication year, keywords, country and research methods. The overarching aim is to enrich the existing knowledge of AI-powered libraries by identifying the prevailing research gaps, providing direction for future research and deepening the understanding needed for effective policy development.

This study used advanced tools such as bibliometric and network analysis, taking the existing literature from the SCOPUS database extending to the year 2022. This study analysed the application of AI in libraries by identifying and selecting relevant keywords, extracting the data from the database, processing the data using advanced bibliometric visualisation tools and presenting and discussing the results. For this comprehensive research, the search strategy was approved by a panel of computer scientists and librarians.

The majority of research concerning the application of AI in libraries has been conducted in the last three years, likely driven by the fourth industrial revolution. Results show that highly cited articles were published by Emerald Group Holdings Ltd. However, the application of AI in libraries is a developing field, and the study highlights the need for more research in areas such as Digital Humanities, Machine Learning, Robotics, Data Mining and Big Data in Academic Libraries.

This study has excluded papers written in languages other than English that address domains beyond libraries, such as medicine, health, education, science and technology.

This article offers insight for managers and policymakers looking to implement AI in libraries. By identifying clusters and themes, the article would empower managers to plan ahead, mitigate potential drawbacks and seize opportunities for sustainable growth.

Previous studies on the application of AI in libraries have taken a broad approach, but this study narrows its focus to research published explicitly in Library and Information Science (LIS) journals. This makes it unique compared to previous research in the field.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.

This study aims to examine the potential of Information Ethics (IE) to serve as a coherent ethical foundation for the library and information science profession (LIS profession).

This study consists of two parts: the first part present IE’s central theses and the main critiques it has received; the second part offers the authors' own evaluation of the theory from the LIS perspective in two steps: (1) assessing its internal consistency by testing its major theses against each other; (2) assessing its utility for resolving frequently debated LIS ethical dilemmas by comparing its solutions with solutions from other ethical theories.

This study finds that IE, consisting of an informational ontology, a fundamental ethical assertion and a series of moral laws, forms a coherent ethical framework and holds promising potential to serve as a theoretical foundation for LIS ethical issues; its inclusion of nonhuman objects as moral patients and its levels of abstraction mechanism proved to be particularly relevant for the LIS profession. This study also shows that, to become more solid an ethical theory, IE needs to resolve some of its internal contradictions and ambiguities, particularly its conceptual conflations between internal correctness, rightness and goodness; between destruction, entropy and evil; and the discrepancy between its deontological ethical assertion and its utilitarian moral laws.

This study alerts LIS professionals to the possibility of having a coherent ethical foundation and the potential of IE in this regard.

This study provides a systemic explication, evaluation and field test of IE from the LIS perspective.

The purpose of this paper is to consider what safeguarding responses to discriminatory abuse and hate crime might learn from existing research on restorative justice and to drive practice development based on available evidence.

This paper is based on a scoping review of literature using four academic databases and reference harvesting. This comprised a critical appraisal of 30 articles, which were thematically analysed to appreciate the benefits and challenges of restorative justice responses to hate crime and how this might inform safeguarding responses to discriminatory abuse and hate crime.

The analysis identifies four domains where learning can be drawn. These relate to theory on restorative justice; restorative justice practices; perspectives from lived experience of restorative justice and hate crime; and an appraisal of critiques about restorative justice.

This paper connects the emerging evidence on restorative criminal justice responses to hate crime to the “turn” towards strengths-based practices in adult safeguarding. Although this provides a fertile environment for embedding restorative practices, the authors argue certain precautions are required based on evidence from existing research on hate crime and restorative justice.

Records are current documents containing crucial personal, legal, financial and medical information, while archives house non-current documents with the same details. This study specifically aims to measure existing research in records and archives management with various scientific indicators.

Data extraction was conducted using the Web of Science, resulting in a data set of 2003 records for further analysis. Biblioshiny and VOSviewer have been used for mapping and visualization of the extracted data.

Managing and organizing this essential information is equally vital to maintaining records and archives. The findings encompass various aspects such as publications and citations, influential authors, source impact factors, relevant articles, affiliations, co-authorship trends across the top 10 countries and regions, references, publication year spectroscopy, keyword co-occurrence and historiography. The study concludes that medical records management prominently dominates the selected research area.

The study reflects the advancements in management systems and continues to emerge as research on the management of records and archives has gained significance.

The Further Education and Training (FET) sector is being positioned as a centrepiece of the government's post-pandemic recovery. However, issues of capacity and staff churn are threatening the potential success of this strategy. Unfortunately, there has been almost no strategic analysis of teacher churn in the English FET system or of the derivative issues of recruitment and retention, both of which jeopardise the sector's capacity to deliver high-quality teaching and improve workforce skills. This paper examines these issues for policymakers and sector leaders and makes suggestions on how these can be redressed. A call for a more joined-up FET sector is presented.

This is a follow-up paper to a report published by the Education and Training Foundation in 2022 on teacher recruitment in the English FET sector. This paper pulls together all of the most recent research on the English FET sector on teacher recruitment and retention and frames these against the DfE's Skills for Jobs policy commitments. It also analyses a number of proposed solutions, reflecting on their merits and potential consequences.

An updated profile of FET institutions within the college, private training and adult subsectors is offered, showing how the FET sector in England has been in steady decline, which is juxtaposed against the rhetoric of industrial productivity and economic renewal. Four variables, namely funding, institutional numbers, staffing and learner numbers are examined to explore this disparity. A more in-depth analysis of recruitment and retention research follows, showing that pay, job insecurity and status are the factors influencing the decision to start an FET career. Strategies for remedying the “crisis” are assessed, including the role of national campaigns and professional bodies.

The first point for any research programme is to draw together the research data and themes that have been previously discussed in order to build a platform for future investigation, which is what this paper does. There are clear steers on where future research might be located: staff well-being, professional status, recruitment methods and what is meant by an FET career. These are factors that affect the desirability of FET work and the sector's ability to recruit high-quality candidates. The consequences of not doing this research is the likely continuation of the status quo, which is unsustainable for the FET sector and potentially catastrophic to UK productivity.

Policymakers and sector leaders are presented with analysis and advice on the impact of teacher shortages and the factors that contribute to this. The evidence to support these factors is explored and solutions discussed in light of this evidence. A research agenda is suggested including an appeal for professional organisations and FET stakeholders to work together to solve the recruitment and retention crisis. The power of research to enlighten and inform is one of several conclusions proposed.

Addressing the factors that corrode staff professionalism and increase teacher attrition is an essential component of a wider discourse to improve the desirability of an FET career. Issues of status and esteem are interwoven in this analysis, as are the implications of not recruiting talented teachers and assessors. This includes staff well-being – a rare topic in FET journal papers – as well as organisational culture and importance of the FET mission, which is considered to be embedded in an ethic of public service. This mission is linked via the Augur Report to the sector's transformational properties to raise social mobility.

There is no precedent for this paper. It is the first article that has provided a comprehensive examination of teacher recruitment and retention issues affecting the whole FET sector in England. Whilst its comparative analysis builds on the Education and Training Foundation (2022) earlier report, it uniquely draws on other contemporary research that triangulates and discusses these findings, including setting out a new agenda for change and future research. In doing so, new issues are introduced for discussion including professional status and staff well-being.

This study investigates the relationship between mental well-being (MWB) and social support (SS) whilst addressing the paucity of research on students' support for emergency contact schemes (ECSs) and their views on how and when such schemes should be implemented.

In total, 113 students recruited via opportunistic sampling completed an online survey including the Interpersonal Support Evaluation List - shortened version (Cohen et al. 1985), Warwick–Edinburgh Mental Wellbeing Scale (Tennant et al. 2007) and questions about ECS. A correlational design used the Pearson product-moment correlation to explore the relationship between MWB and SS. A between-subjects design using independent measures t-test investigated differences in SS and MWB between those with and without a “trusted person” (TP).

The preferred name was “Named Trusted Person Scheme” (NTPS), the preferred TP was parent/guardian or partner, and the preferred means of contact was Personal Tutor to mobile phone. Most students (96%) supported the use of an NTPS when serious concerns were raised about mental or physical health, personal safety or student engagement. Those opposed were concerned about a loss of agency, identifying a TP or the TP worsening the situation. MWB was positively correlated with SS, and those with a TP had higher levels of MWB and SS than those without.

This study addresses the under-explored area of students' support for ECS, whilst enhancing our understanding of the relationship between MWB and SS especially amongst those without a person they can trust. This research provides valuable insights for universities looking to implement or refine such schemes, with the potential to improve students' MWB, academic achievement and retention by enhancing support.