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1 – 10 of 284
Article
Publication date: 28 June 2023

Javaid Ahmad Wani, Taseef Ayub Sofi, Ishrat Ayub Sofi and Shabir Ahmad Ganaie

Open-access repositories (OARs) are essential for openly disseminating intellectual knowledge on the internet and providing free access to it. The current study aims to evaluate…

Abstract

Purpose

Open-access repositories (OARs) are essential for openly disseminating intellectual knowledge on the internet and providing free access to it. The current study aims to evaluate the growth and development of OARs in the field of technology by investigating several characteristics such as coverage, OA policies, software type, content type, yearly growth, repository type and geographic contribution.

Design/methodology/approach

The directory of OARs acts as the source for data harvesting, which provides a quality-assured list of OARs across the globe.

Findings

The study found that 125 nations contributed a total of 4,045 repositories in the field of research, with the USA leading the list with the most repositories. Maximum repositories were operated by institutions having multidisciplinary approaches. The DSpace and Eprints were the preferred software types for repositories. The preferred upload content by contributors was “research articles” and “electronic thesis and dissertations”.

Research limitations/implications

The study is limited to the subject area technology as listed in OpenDOAR; therefore, the results may differ in other subject areas.

Practical implications

The work can benefit researchers across disciplines and, interested researchers can take this study as a base for evaluating online repositories. Moreover, policymakers and repository managers could also get benefitted from this study.

Originality/value

The study is the first of its kind, to the best of the authors’ knowledge, to investigate the repositories of subject technology in the open-access platform.

Details

Information Discovery and Delivery, vol. 52 no. 2
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 18 March 2024

Shiv Shakti Ghosh and Sunil Kumar Chatterjee

This study presents a review based research framework that aims to influence memory institutions in their projects on digital storytelling from digitized ancient travel records…

Abstract

Purpose

This study presents a review based research framework that aims to influence memory institutions in their projects on digital storytelling from digitized ancient travel records. This study aims to influence research and policymaking related to design and delivery of services based on memory institutions’ collections of historical records.

Design/methodology/approach

The demonstrated research framework has been synthesized using inputs from a review of existing studies on the domain accompanied by a short survey created for collecting the opinion of selected experts. Studies demonstrating utilization of semantic web technologies and those that can influence policymaking related to digital storytelling were primarily reviewed.

Findings

The core tasks behind digital storytelling vary depending on the project goals. So, a two-part framework had to be proposed that covers the generic fundamental tasks with diverse applicability and digital storytelling related specific tasks separately. Also during the review, it was found that studies demonstrating the use of travel records for digital storytelling were less in number compared to studies using digital storytelling for tourism in general.

Originality/value

The demonstrated research framework can guide memory institutions in exposing their travel-related holdings to a wider audience using innovative semantic web technologies and open up avenues for future empirical research thereby adding to the novelty of the presented research. Also, reviews of articles on digital storytelling or digital humanities in general exist, but, review of digital storytelling initiatives focusing specifically on tourism and travel literature is scarce.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 28 February 2024

A. Subaveerapandiyan and Priyanka Sinha

This study aims to assess the scholarly communication competence of Zambian library and information science (LIS) professionals by evaluating their awareness, knowledge and…

Abstract

Purpose

This study aims to assess the scholarly communication competence of Zambian library and information science (LIS) professionals by evaluating their awareness, knowledge and practices regarding scholarly publication.

Design/methodology/approach

Applying a quantitative research approach, the study used a specially designed questionnaire. Responses from 57 professionals across universities and colleges in Zambia were gathered using convenience sampling. Data analysis involved descriptive statistics, mean and standard deviation calculations and t-values and p-values to understand respondents’ perceptions and knowledge of scholarly communication and publication.

Findings

The findings revealed significant gaps in respondents’ knowledge and awareness, particularly regarding predatory journals, journal selection factors, open-access models, publication challenges, reference management software (RMS) usage and research obstacles. The study underscored the necessity for increased training and capacity-building initiatives among Zambian LIS professionals to enhance their scholarly communication competence.

Originality/value

This research contributed to the field by highlighting deficiencies in scholarly communication awareness among Zambian LIS professionals. It emphasised the need for targeted interventions, awareness programs and educational support to improve academic literacy and scholarly publication practices. Additionally, the study suggested future research avenues, such as longitudinal studies and strategies for enhancing RMS adoption, to advance scholarly practices among Zambian professionals further.

Details

Global Knowledge, Memory and Communication, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2514-9342

Keywords

Article
Publication date: 5 February 2024

Federico Galán-Valdivieso, Juana Alonso-Cañadas, Laura Saraite-Sariene and Carmen Caba-Perez

Green Public Procurement (GPP) has recently gained attention in the academic and policy arenas since climate change has uncovered the need to be addressed by both private…

Abstract

Purpose

Green Public Procurement (GPP) has recently gained attention in the academic and policy arenas since climate change has uncovered the need to be addressed by both private companies and public entities. Because of this growing interest this study aims to explore the most influential journals, publishers, categories, topics and therecent trends and future research lines in GPP.

Design/methodology/approach

Based on the Web of Science database, 1,008 articles from 1990 to November 2023 devoted to GPP are analysed by using Bibliometrix, an R-tool to perform bibliometric analysis.

Findings

This study introduces the following findings. The most influential journals by far are Journal of Cleaner Production and Sustainability, differing in that the latter is open access (OA) while the former publishes through traditional subscription (TS). This result also occurs regarding the main publishers (Elsevier and MDPI).

Social implications

GPP is a political commitment that contributes to improving the efficiency of the economies and that has aroused the interest of the scientific community. The paper can provide important insights for GPPs formulation in the areas of procurements and literacy.

Originality/value

The paper leads a debate on the opportunities or threats that the OA journals present for the dissemination of scientific knowledge of GPP, compared to TS publications in the same field.

Details

Journal of Public Procurement, vol. 24 no. 1
Type: Research Article
ISSN: 1535-0118

Keywords

Article
Publication date: 29 February 2024

Atefeh Hemmati, Mani Zarei and Amir Masoud Rahmani

Big data challenges and opportunities on the Internet of Vehicles (IoV) have emerged as a transformative paradigm to change intelligent transportation systems. With the growth of…

Abstract

Purpose

Big data challenges and opportunities on the Internet of Vehicles (IoV) have emerged as a transformative paradigm to change intelligent transportation systems. With the growth of data-driven applications and the advances in data analysis techniques, the potential for data-adaptive innovation in IoV applications becomes an outstanding development in future IoV. Therefore, this paper aims to focus on big data in IoV and to provide an analysis of the current state of research.

Design/methodology/approach

This review paper uses a systematic literature review methodology. It conducts a thorough search of academic databases to identify relevant scientific articles. By reviewing and analyzing the primary articles found in the big data in the IoV domain, 45 research articles from 2019 to 2023 were selected for detailed analysis.

Findings

This paper discovers the main applications, use cases and primary contexts considered for big data in IoV. Next, it documents challenges, opportunities, future research directions and open issues.

Research limitations/implications

This paper is based on academic articles published from 2019 to 2023. Therefore, scientific outputs published before 2019 are omitted.

Originality/value

This paper provides a thorough analysis of big data in IoV and considers distinct research questions corresponding to big data challenges and opportunities in IoV. It also provides valuable insights for researchers and practitioners in evolving this field by examining the existing fields and future directions for big data in the IoV ecosystem.

Details

International Journal of Pervasive Computing and Communications, vol. 20 no. 2
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 22 February 2022

Apostolos Vlachos, Maria Perifanou and Anastasios A. Economides

The purpose of this paper is to review ontologies and data models currently in use for augmented reality (AR) applications, in the cultural heritage (CH) domain, specifically in…

Abstract

Purpose

The purpose of this paper is to review ontologies and data models currently in use for augmented reality (AR) applications, in the cultural heritage (CH) domain, specifically in an urban environment. The aim is to see the current trends in ontologies and data models used and investigate their applications in real world scenarios. Some special cases of applications or ontologies are also discussed, as being interesting enough to merit special consideration.

Design/methodology/approach

A search using Google Scholar, Scopus, ScienceDirect and IEEE Xplore was done in order to find articles that describe ontologies and data models in AR CH applications. The authors identified the articles that analyze the use of ontologies and/or data models, as well as articles that were deemed to be of special interest.

Findings

This review found that CIDOC-CRM is the most popular ontology closely followed by Historical Context Ontology (HiCO). Also, a combination of current ontologies seems to be the most complete way to fully describe a CH object or site. A layered ontology model is suggested, which can be expanded according to the specific project.

Originality/value

This study provides an overview of ontologies and data models for AR CH applications in urban environments. There are several ontologies currently in use in the CH domain, with none having been universally adopted, while new ontologies or extensions to existing ones are being created, in the attempt to fully describe a CH object or site. Also, this study suggests a combination of popular ontologies in a multi-layer model.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. 14 no. 2
Type: Research Article
ISSN: 2044-1266

Keywords

Article
Publication date: 5 March 2024

Yuchen Yang

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of…

Abstract

Purpose

Recent archiving and curatorial practices took advantage of the advancement in digital technologies, creating immersive and interactive experiences to emphasize the plurality of memory materials, encourage personalized sense-making and extract, manage and share the ever-growing surrounding knowledge. Audiovisual (AV) content, with its growing importance and popularity, is less explored on that end than texts and images. This paper examines the trend of datafication in AV archives and answers the critical question, “What to extract from AV materials and why?”.

Design/methodology/approach

This study roots in a comprehensive state-of-the-art review of digital methods and curatorial practices in AV archives. The thinking model for mapping AV archive data to purposes is based on pre-existing models for understanding multimedia content and metadata standards.

Findings

The thinking model connects AV content descriptors (data perspective) and purposes (curatorial perspective) and provides a theoretical map of how information extracted from AV archives should be fused and embedded for memory institutions. The model is constructed by looking into the three broad dimensions of audiovisual content – archival, affective and aesthetic, social and historical.

Originality/value

This paper contributes uniquely to the intersection of computational archives, audiovisual content and public sense-making experiences. It provides updates and insights to work towards datafied AV archives and cope with the increasing needs in the sense-making end using AV archives.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 13 October 2023

Judit Gárdos, Julia Egyed-Gergely, Anna Horváth, Balázs Pataki, Roza Vajda and András Micsik

The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for…

Abstract

Purpose

The present study is about generating metadata to enhance thematic transparency and facilitate research on interview collections at the Research Documentation Centre, Centre for Social Sciences (TK KDK) in Budapest. It explores the use of artificial intelligence (AI) in producing, managing and processing social science data and its potential to generate useful metadata to describe the contents of such archives on a large scale.

Design/methodology/approach

The authors combined manual and automated/semi-automated methods of metadata development and curation. The authors developed a suitable domain-oriented taxonomy to classify a large text corpus of semi-structured interviews. To this end, the authors adapted the European Language Social Science Thesaurus (ELSST) to produce a concise, hierarchical structure of topics relevant in social sciences. The authors identified and tested the most promising natural language processing (NLP) tools supporting the Hungarian language. The results of manual and machine coding will be presented in a user interface.

Findings

The study describes how an international social scientific taxonomy can be adapted to a specific local setting and tailored to be used by automated NLP tools. The authors show the potential and limitations of existing and new NLP methods for thematic assignment. The current possibilities of multi-label classification in social scientific metadata assignment are discussed, i.e. the problem of automated selection of relevant labels from a large pool.

Originality/value

Interview materials have not yet been used for building manually annotated training datasets for automated indexing of scientifically relevant topics in a data repository. Comparing various automated-indexing methods, this study shows a possible implementation of a researcher tool supporting custom visualizations and the faceted search of interview collections.

Article
Publication date: 12 September 2023

I-Chin Wu, Pertti Vakkari and Bo-Xian Huang

Recent studies on search-as-learning (SAL) have recognized the significance of identifying users' learning needs as they evolve for acquiring knowledge during the search process…

Abstract

Purpose

Recent studies on search-as-learning (SAL) have recognized the significance of identifying users' learning needs as they evolve for acquiring knowledge during the search process. In this study, the authors clarify the extent to which search behaviors reflect the learning outcome and foster the users' knowledge of Chinese art.

Design/methodology/approach

The authors conducted an exploratory-sequential mixed-methods approach using simulated work task situations to collect empirical data. The authors used two types of simulated learning tasks for topics related to painting and antique knowledge. A lot of 25 users participated in this evaluation of digital archives (DAs) at the National Palace Museum (NPM) in Taiwan. For each set of topics, a close-ended task related to lower-level learning goals and an open-ended task related to higher-level learning goals.

Findings

The learning criteria reflect changes in the users' knowledge structure, revealing the SAL process. Furthermore, users achieved better task performance on the higher-level creative-learning task, which suggests that they met more learning criteria, exhibited a greater variety of search patterns when exploring the topics via interaction with various sources. Finally, there is a close relationship between creative-learning tasks, prior knowledge, keyword search actions and learning outcomes.

Originality/value

The authors discuss implications with respect to the design of DAs in practice and contributions to the body of SAL knowledge in DAs of online museums. For future reference, the authors provide implications for the development of learning measures from the perspective of user search behavior with associated learning outcomes in the context of DAs.

Details

Journal of Documentation, vol. 80 no. 2
Type: Research Article
ISSN: 0022-0418

Keywords

Article
Publication date: 1 March 2024

Kai Naumann and Andreas Neuburger

Starting from the status quo, the paper outlines perspectives and challenges for the connection and interlinking of digitised and digital archival data. The following topics are…

Abstract

Purpose

Starting from the status quo, the paper outlines perspectives and challenges for the connection and interlinking of digitised and digital archival data. The following topics are addressed: Where are fields of action and what are the means of archives? Which functional and technical requirements are to be considered, and what is the role of portal infrastructures linking together various different institutions?

Design/methodology/approach

Considering needs of users and general framework conditions, the paper examines new approaches emerging in Germany. It outlines recent projects and considerations aiming to improve services and visibility of archives within the national data infrastructure in Germany.

Findings

Cross-connections are no new phenomenon, but change their appearance significantly in a digital context. In this respect, both smaller and bigger archives profit from participation in larger digital networks. Furthermore, archives need to keep in mind to reflect the quality of their digital (meta)data regularly and to offer or join systems that functionally and technically support cross-connection and interlinking of data.

Originality/value

The paper endeavours to show the importance of digital cross-connections and the role of portal infrastructures for visibility, online-distribution and use of digital archival metadata and data.

Details

Journal of Documentation, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0022-0418

Keywords

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