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Article
Publication date: 19 April 2023

Aasif Mohammad Khan, Fayaz Ahmad Loan, Umer Yousuf Parray and Sozia Rashid

Data sharing is increasingly being recognized as an essential component of scholarly research and publishing. Sharing data improves results and propels research and discovery…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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”.

Research limitations/implications

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.

Originality/value

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.

Details

Information Discovery and Delivery, vol. 52 no. 1
Type: Research Article
ISSN: 2398-6247

Keywords

Article
Publication date: 9 November 2023

Gustavo Candela, Nele Gabriëls, Sally Chambers, Milena Dobreva, Sarah Ames, Meghan Ferriter, Neil Fitzgerald, Victor Harbo, Katrine Hofmann, Olga Holownia, Alba Irollo, Mahendra Mahey, Eileen Manchester, Thuy-An Pham, Abigail Potter and Ellen Van Keer

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

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

Keywords

Article
Publication date: 20 December 2023

Jude Kenechi Onyima, Stephen Syrett and Leandro Sepulveda

This paper contributes to the development of an enhanced understanding of the breakout strategies of immigrant entrepreneurs within a transnational context. It develops a dynamic…

Abstract

Purpose

This paper contributes to the development of an enhanced understanding of the breakout strategies of immigrant entrepreneurs within a transnational context. It develops a dynamic notion of breakout by placing it within a wider understanding of immigrant entrepreneurial strategy characterised by multifocal embeddedness within transnational space.

Design/methodology/approach

This study adopted a qualitative research methodological approach. In-depth interviews were completed with 30 first- and second-generation UK-based Nigerian entrepreneurs and key informants, to provide data on business growth strategies of individual immigrant entrepreneurs in the context of opportunity structures across host, home and third countries.

Findings

Nigerian immigrant entrepreneurs adopted distinctive entrepreneurial strategies related to the complex and diverse transnational context within which they were embedded. Findings demonstrated how the realisation of diversification and differentiation strategies was particularly influenced by locational and spatial strategies, the specific contextual embeddedness of the entrepreneur and generational differences across entrepreneurs.

Originality/value

Conceptualising immigrant entrepreneurship from a standpoint of transnational, multifocal embeddedness produces a complex and multi-layered understanding of business breakout as a dynamic process. Drawing together the unifocal, bifocal and multifocal dimensions of embeddedness with findings on the breakout strategies being pursued by immigrant entrepreneurs, an original typology is presented which identifies different approaches to breakout across varied contexts. This has significant policy and practice implications for the content, targeting and access of business support and wider social issues, relating to the identities, social mobility and integration of immigrant entrepreneurs.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 30 no. 1
Type: Research Article
ISSN: 1355-2554

Keywords

Article
Publication date: 7 March 2023

Dhruba Jyoti Borgohain, Mayank Yuvaraj and Manoj Kumar Verma

The purpose of this study is to assess the value of altmetrics or other indicators, showcasing the impact of academic output, which is seen too often correlated with the citation…

Abstract

Purpose

The purpose of this study is to assess the value of altmetrics or other indicators, showcasing the impact of academic output, which is seen too often correlated with the citation count.

Design/methodology/approach

This study considered three reputed journals of Library and Information Science (LIS) published by Elsevier. A total of 1,164 articles were found in these journals from 2016 to 2020 and the relationships between altmetric attention scores (AAS) and citations were examined. The analysis was extended to compare the grouped data set based on percentile ranks of AAS like top 50%, top 25%, top 10% and top 1%.

Findings

Using Spearman correlation analysis, the findings reveal a positive correlation between AAS and citations with different significant levels for all articles, and articles with AAS, as well as for normalized AAS in the top 50%, top 25%, top 10% and top 1% data set. For the three journals International Journal of Information Management (IJIM), Journal of Informetrics (JIF) and Library and Information Science Research (LISR), a significant positive correlation is observed across all data sets. But an unexpected result was observed: in the case of the top 50% of articles for the IJIM and JIF showed no significant correlation but the LISR journal showed a positive correlation for the whole data set. This journal though has fewer articles in comparison to the other two.

Research limitations/implications

A source item that is highly cited may not be having high social media attention as reflected in the findings. This demarcates AAS with citations implying various factors on which these measurements are dependent. The study distinguishes these metrics lucidly. There is not a single guideline or uniformity in assessing the correlation found. But the problem is that the interpretation of the correlation strength affects the conclusion of the study. Moreover, this study will be a role model as a draft for librarians to select relevant journals for their libraries and will facilitate authors in the choice of the publication outlets for their papers, particularly concerning the journals that have both visibility and research impact.

Originality/value

The study reported devising a comprehensive tool to validate AAS as a measure of scholarly impact to include appropriate social media sources and verify its relationship with other metrics. To the best of the authors’ knowledge, this paper is the first attempt to discover the correlation between AAS and citations for the highly impactful LIS journal published by Elsevier. The empirical evidence lies in the citation and altmetric data extracted from the dimension database.

Details

Information Discovery and Delivery, vol. 52 no. 1
Type: Research Article
ISSN: 2398-6247

Keywords

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