Search results

This study addresses the need for a theory-guided, rich, descriptive account of research data repositories' (RDRs) understanding of data quality and the structures of their data quality assurance (DQA) activities. Its findings can help develop operational DQA models and best practice guides and identify opportunities for innovation in the DQA activities.

The study analyzed 122 data repositories' applications for the Core Trustworthy Data Repositories, interview transcripts of 32 curators and repository managers and data curation-related webpages of their repository websites. The combined dataset represented 146 unique RDRs. The study was guided by a theoretical framework comprising activity theory and an information quality evaluation framework.

The study provided a theory-based examination of the DQA practices of RDRs summarized as a conceptual model. The authors identified three DQA activities: evaluation, intervention and communication and their structures, including activity motivations, roles played and mediating tools and rules and standards. When defining data quality, study participants went beyond the traditional definition of data quality and referenced seven facets of ethical and effective information systems in addition to data quality. Furthermore, the participants and RDRs referenced 13 dimensions in their DQA models. The study revealed that DQA activities were prioritized by data value, level of quality, available expertise, cost and funding incentives.

The study's findings can inform the design and construction of digital research data curation infrastructure components on university campuses that aim to provide access not just to big data but trustworthy data. Communities of practice focused on repositories and archives could consider adding FAIR operationalizations, extensions and metrics focused on data quality. The availability of such metrics and associated measurements can help reusers determine whether they can trust and reuse a particular dataset. The findings of this study can help to develop such data quality assessment metrics and intervention strategies in a sound and systematic way.

To the best of the authors' knowledge, this paper is the first data quality theory guided examination of DQA practices in RDRs.

Online travel agencies (OTAs) have an important role to play in reactivating tourism activity following a health crisis by providing information about the health conditions of tourist destinations. Once developed, it is necessary to analyze the effectiveness of the information provided and ascertain whether the provision of such information effects the understanding of the value of using OTAs and, in turn, the intention to do so.

This paper, based on an empirical case study conducted during the COVID-19 pandemic, examines whether following a health crisis, the quality of information provided by OTAs on the health conditions of tourist destinations and the perceived value of their offer generate a greater OTA services reuse intention, and signals, therefore, a return to travel.

The results show the quality of the information positively influences the perceived value, but not the OTA services reuse intention. Rather, the perceived value positively influences the OTA services reuse intention.

Overall, it can be suggested that providing quality health information for a destination is a necessary strategy because it contributes to increasing the perceived value of OTAs. To incentivize the intention for repeated use of OTA services, it is necessary to consider the perceived value that influences the intention to make repeat OTA reservations.

This research offers a novel perspective about the OTAs’ contribution to the recovery of the activity of the tourism industry after a health crisis. This contributes to achieving a more resilient sector in the face of future health crises.

In the pursuit of net-zero, the decarbonization activities of organizations are a critical feature of any sustainability strategy. However, government policy and recent technological innovations do not address the digital carbon footprint of organizations. The paper aims to present the concept of single-use dark data and how knowledge reuse by organizations is a means to digital decarbonization.

Businesses in all sectors must contribute to reducing digital carbon emissions globally, and to the best of the authors’ knowledge, this paper is the first to examine “how” from a knowledge (re)use perspective. Drawing on insights from the knowledge creation process, the paper presents a set of pathways to greater knowledge reuse for the reduction of organizations’ digital carbon footprint.

Businesses continually collect, process and store knowledge but generally fail to reuse these knowledge assets – referred to as dark data. Consequently, this dark data has a huge impact on energy use and global emissions. This model is the first to show explicit pathways that businesses can follow to sustainable knowledge practices.

If businesses are to be proactive in their collective pursuit of net-zero, then it becomes paramount that reducing the digital carbon footprint becomes a key sustainability target. The paper presents how this might be accomplished, offering practical and actionable guidance to businesses for digital decarbonization.

Two critical questions are facing businesses: how can decarbonization be achieved? And can it be achieved at a low-cost? Awareness of the damaging impact digitalization may be having on the environment is in its infancy, yet knowledge reuse is a proactive and cost-effective route to reduce carbon emissions, which is explored in the paper.

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.

Waste generated from electrical and electronic equipment, collectively known as E-waste, remains a persistent environmental, economic and social problem. Sustainable E-waste management (EWM) has numerous benefits, such as preventing electronic waste from entering landfills, reducing the need for virgin materials by recovering valuable materials from recycling and lowering greenhouse gas emissions. Circular economy (CE) practices are considered the initial steps toward sustainable EWM, but some hurdles have been reported in the adoption of these practices. Therefore, the current study aims to identify the common CE practices, sustainability of the EWM process and the challenges in EWM, and to develop a conceptual framework for effective EWM.

Very few studies have proposed frameworks that acknowledge the challenges and CE practices of EWM. To fill this gap, a systematic literature review (SLR) was performed, and 169 research articles were explored.

A total of seven challenges in the adoption of effective EWM were identified: rules and policy, infrastructure, consumer behaviour, informal sectors, community culture, technology and economy. Eight common CE practices were also found for effective EWM: reuse, recycle, remanufacturing, refurbishment, repair, reduce, recover and repurpose.

A conceptual framework guiding sustainable EWM was proposed, which includes solutions for the identified challenges, and CE practices with sustainable benefits.

This study aims to convey lessons learned from two sustainability initiatives at Norway’s largest university. This contributes to knowledge-based discussions of how future, sustainable higher education institutions (HEIs) infrastructures should be envisioned and planned if the fundamental uncertainty of the future development of learning, researching and teaching is acknowledged.

This study was submitted on 24 January 2023 and revised on 14 September 2023. HEIs, particularly when they are engaged in research activities, have a considerable environmental footprint. At the same time, HEIs are the main producers and disseminators of knowledge about environmental challenges and their employees have a high awareness of the urgent need to mitigate climate change and biodiversity loss. In this study, the gap between knowledge and environmental performance is addressed as a question of infrastructural change, which is explored in two case studies.

The first case study presents limitations of ambitious, top-down sustainability planning for HEI infrastructures: support from employees and political support are central for this strategy to succeed, but both could not be secured in the case presented leading to an abandonment of all sustainability ambitions. The second case study exposes important limitations of a circular approach: regulatory and legal barriers were found against a rapid and radical circular transformation, but also more fundamental factors such as the rationality of an institutional response to uncertainty by rapid cycles of discarding the old and investing in new equipment and facilities.

Being based on qualitative methods, the case studies do not claim representativity for HEIs worldwide or even in Norway. Many of the factors described are contingent on their specific context. The goal, instead, is to contribute to learning by presenting an in-depth and context-sensitive report on obstacles encountered in two major sustainability initiatives.

Research reporting on sustainability initiatives too often focuses descriptively on the plans or reports the successes while downplaying problems and failures. This study deviates from this widespread practice by analysing reasons for failure informed by a theoretical frame (infrastructural change). Moreover, the juxtaposition of two cases within the same context shows the strengths and weaknesses of different approaches to infrastructural change particularly clearly.

Data sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery forward. Given the importance of data sharing, the purpose of the study is to unveil the present scenario of research data repositories (RDR) and sheds light on strategies and tactics followed by different countries for efficient organization and optimal use of scientific literature.

The data for the study is collected from registry of RDR (re3data registry) (re3data.org), which covers RDR from different academic disciplines and provides filtration options “Search” and “Browse” to access the repositories. Using these filtration options, the researchers collected metadata of repositories i.e. country wise contribution, content-type data, repository language interface, software usage, metadata standards and data access type. Furthermore, the data was exported to Google Sheets for analysis and visualization.

The re3data registry holds a rich and diverse collection of data repositories from the majority of countries all over the world. It is revealed that English is the dominant language, and the most widely used software for the creation of data repositories are “DataVerse”, followed by “Dspace” and “MySQL”. The most frequently used metadata standards are “Dublin Core” and “Datacite metadata schema”. The majority of repositories are open, with more than half of the repositories being “disciplinary” in nature, and the most significant data sources include “scientific and statistical data” followed by “standard office documents”.

The main limitation of the study is that the findings are based on the data collected through a single registry of repositories, and only a few characteristic features were investigated.

The study will benefit all countries with a small number of data repositories or no repositories at all, with tools and techniques used by the top repositories to ensure long-term storage and accessibility to research data. In addition to this, the study provides a global overview of RDR and its characteristic features.

Many librarians are asked questions about copyright and intellectual property. They may be expected to advise on copyright or provide copyright education as part of their duties. Others may be “voluntold” to take on copyright, which may come as an unexpected addition to their workload. This case study provides suggestions for librarians to increase their copyright knowledge and create copyright education programs.

This case study showcases two copyright education programs created by a librarian in a college and another in a university. The librarians collaborated to learn more about the state of copyright education within academic libraries and explore their commonalities and differences. This case study introduces two copyright education programs and summarizes the state of copyright education within library and information science (LIS) and academic libraries.

The following themes within the two copyright education programs were identified through a case study: the complexity of copyright, the engagement (or lack thereof) across a college or university, the necessity of including copyright in information literacy instruction and the calls for professional development with copyright.

This case study covers two differing institutions so its conclusions may not be applicable to all libraries or educational settings.

Many individuals who are in disciplines or occupations that regularly work with copyright may generate ideas for creating and providing continuing education within their organizations.

Library or education professionals can use the case study’s conclusions to inform and support their ongoing work with teaching and learning about copyright and intellectual property. By doing so, they can better support their students, faculty and institutions.