Catégories
EN

Evolution of the Involvement of Researchers From the University of Caen (France) in Author Identifiers and Social Networks: 2019–2023

Authors : Sarah Marcq, Aline Bouchard, Isabelle Mauger Perez, Benjamin Bober, Christophe Boudry

As author identifier services (AIDs) and academic social networks (ASNs) have become increasingly central to scholarly communication in the last decade, it is important to study how these tools are being used and how far researchers are involved in these services.

This study aims to assess the evolution of the presence of researchers from 2019 to 2023, on three AIDs (ORCID, ResearcherID and IdHAL) and on two ASNs (ResearchGate and Academia) categorized by discipline and career advancement in a medium-sized multidisciplinary university in France (University of Caen Normandy).

The total number of publications found on each of the five sites studied was assessed to evaluate the ability of these sites to provide an accurate view of the scientific output of individuals and their institution.

In this case, for each of the researchers we need to determine whether they had a profile on any website studied, and to record the number of their publications. As main results, the number of profiles has increased across the five sites studied over the period 2019–2023.

This increase is very important on two of the five sites studied: IdHAL and ORCID (330% and 159% increase, respectively), while it is more moderate on the other three sites (less than 30%). This illustrates the result of incentive policies implemented in France in recent years concerning IdHAL and ORCID.

The analysis of the number of publications on each profile in 2019 and 2023 across the five sites studied showed large differences in terms of the total number of publications included in profiles, highlighting the inability of these sites to qualify a population of researchers by considering the number of publications available on these different sites.

To complement this study, future research should consider analysing the content and methods of data entry on these sites, particularly ORCID, as well as the frequency with which this data is updated, especially in relation to the development of different providers in the context of open science.

URL : Evolution of the Involvement of Researchers From the University of Caen (France) in Author Identifiers and Social Networks: 2019–2023

DOI : https://doi.org/10.1002/leap.2101

Catégories
EN

Awareness of Predatory Journals and Open Access: an online survey among Italian Researchers

Authors : Silvia Maccarini, Núria Bautista-Puig, Eva Méndez

This study investigates Italian academics’ awareness, perceptions, and experiences of predatory publishing, a phenomenon recognised as a threat to research integrity and scholarly communication. An online survey of researchers affiliated with Italian universities and research institutes yielded 258 responses, which were analysed.

Results show that awareness of predatory publishing is high: almost half of respondents (47.9%) had discussed it with colleagues, and more than one-third had encountered it as authors, reviewers, or readers. Familiarity varies across dimensions, with predatory journals and spam emails being most recognised, and fraudulent websites and podcasts less so. 30% of participants reported personal experience of editorial misleading, mainly as authors, and 76% had received spam or phishing solicitations. Significant differences emerged by professional title and age, with senior researchers demonstrating greater awareness and greater exposure to training.

Most participants perceive predatory publishing as having a moderate or high impact on scientific integrity, but only half have received training in research ethics or use verification tools. Open-ended responses show concern about the “publish or perish” culture and the difficulty of distinguishing legitimate from predatory journals. The findings highlight awareness and vulnerability in the Italian academic publishing landscape.

URL : Awareness of Predatory Journals and Open Access: an online survey among Italian Researchers

DOI : https://doi.org/10.36253/jlis.it-720

Catégories
EN

Assessing Researcher Data Sharing Practices Using Publicly Available Dataset Metadata: A Reproducible Workflow for Institutional Stakeholders

Authors : Danielle R. Kirsch, Isaac Wink

Introduction

Scholarly communities are experiencing increased emphasis on research data sharing and reuse. Given the range of available data repositories and variability in the use of persistent identifiers (PIDs) for individuals and institutions, aggregating datasets by researchers at a specific institution is a significant challenge. We developed a reproducible workflow to evaluate 1) data repository use by researchers at our institutions, 2) metrics of reuse, and 3) quality of metadata records.

Methods

We used the DataCite REST API to locate metadata records for datasets with creator affiliation names that matched our institutions. We performed substantial cleaning and deduplication before comparing repository use, citations, usage metrics, and metadata completeness.

Results

The most common data repositories were Dryad, Harvard Dataverse, figshare, Zenodo, ICPSR, and one institution’s institutional repository. View, download, and citation counts were available from a limited number of repositories, with some discrepancies between different citation reporting methods. PIDs were more frequently used for authors and affiliations than funders, and the inclusion of PIDs varied across repositories, with Dryad being the most consistent.

Discussion & Conclusion

Although broad trends in repository and PID use were similar between institutions, our analysis also surfaced examples that illustrate inconsistencies in metadata across repositories. Variable implementation of the DataCite metadata schema requires a significant amount of data cleaning to obtain meaningful results. Even then, incomplete metadata makes some datasets impossible to locate. Repositories, funders, researchers, and institutional open data advocates must coordinate to create complete and usable metadata that integrates datasets into the scholarship ecosystem.

URL : Assessing Researcher Data Sharing Practices Using Publicly Available Dataset Metadata: A Reproducible Workflow for Institutional Stakeholders

DOI : https://doi.org/10.31274/jlsc.22913

Catégories
EN

Constructing a (Meaningful) Scholarly Publishing Narrative: Bootstrapping Green Open Access Submissions for Open Access Week

Authors : Tim Ribaric, Erin Moorhead

Introduction

Green Open Access requires authors to submit appropriate versions of journal articles to a repository; the challenge for researchers is to remember to perform this task after the primary work of the publication process is done. This case study at Brock University Library shows how it is possible to bootstrap these types of submissions by crafting meaningful publishing narratives through a collection of clever Open Access Week initiatives.

Literature Review

The literature review assesses the existing scholarly material on Open Access outreach efforts and touches on Open Access in the Canadian context. It explores the dynamics of self-archiving with Green Open Access and the use of institutional repositories. The existing literature on wielding open data as a tool to serve libraries is discussed, and the potential of these tools to support librarian advocacy work is examined.

Description of Program and Benefits

By using a collection of Open Access scholarly publishing web services and APIs, two outreach campaigns were conducted by Brock University Library during Open Access Week 2025. The first was a State of Scholarly Publishing Report that showed broad trends in output from the organization, and the second was a Green Open Access Call to Action that prompted researchers to submit recently published eligible papers to the repository.

Conclusion

There was enough enthusiasm generated from these two projects that the Brock University Library will continue to run these campaigns in subsequent Open Access Weeks. The publishing report was engaging and was included in many different venues on campus, while the Green Open Access Call to Action resulted in submissions from 37% of contacted authors.

URL : Constructing a (Meaningful) Scholarly Publishing Narrative: Bootstrapping Green Open Access Submissions for Open Access Week

DOI : https://doi.org/10.31274/jlsc.21406

Catégories
EN

Recent Advances and Trends in Research Paper Recommender Systems: A Comprehensive Survey

Authors : Iratxe Pinedo, Mikel Larrañaga, Ana Arruarte

As the volume of scientific publications grows exponentially, researchers increasingly face difficulties in locating relevant literature. Research Paper Recommender Systems have become vital tools to mitigate this information overload by delivering personalized suggestions.

This survey provides a comprehensive analysis of Research Paper Recommender Systems developed between November 2021 and December 2024, building upon prior reviews in the field. It presents an extensive overview of the techniques and approaches employed, the datasets utilized, the evaluation metrics and procedures applied, and the status of both enduring and emerging challenges observed during the research. Unlike prior surveys, this survey goes beyond merely cataloguing techniques and models, providing a thorough examination of how these methods are implemented across different stages of the recommendation process.

By furnishing a detailed and structured reference, this work aims to function as a consultative resource for the research community, supporting informed decision-making and guiding future investigations in the advances of effective Research Paper Recommender Systems.

DOI : https://doi.org/10.48550/arXiv.2508.08828

Catégories
EN

Artificial Intelligence in Scientific Publishing: Citation Impact and Thematic Trends

Author : Mohammadamin Erfanmanesh

Introduction: The rise of artificial intelligence (AI) has a significant impact on scientific publishing and librarianship. This study explores the citation impact and thematic patterns of AI-related research in scientific publishing through four objectives: (1) to analyze bibliometric characteristics; (2) to evaluate citation performance using normalized metrics; (3) to identify major thematic trends; and (4) to review AI-related publications that specifically address librarianship and examine their implications for library practices.

Methods: A bibliometric analysis was conducted on 295 AI-related publications indexed in the Web of Science Core Collection. Citation performance was assessed using two field-normalized metrics from Clarivate’s InCites platform: the Category Normalized Citation Impact (CNCI) and the Journal Normalized Citation Impact (JNCI). To determine whether the median CNCI and JNCI values differed significantly from the category and journal benchmarks, a one-sample Wilcoxon signed-rank test was performed. Sub-themes within AI-related research were identified through thematic analysis. Additionally, to highlight important themes and professional implications, publications that specifically mention libraries, librarians, or librarianship were reviewed.

Results: The median CNCI was 2.7, and the median JNCI was 2.2, both significantly above the benchmark of 1.0 (P < .001). This indicates that AI-related research in scientific publishing receives significantly more citations than comparable publications within the same subject areas and journals. Seven sub-themes were identified, all showing above-average citation impact. Among these, themes focused on frameworks, policies, and ethical guidelines for AI integration achieved the highest normalized citation scores. Additionally, four publications focusing specifically on librarianship explored how AI intersects with open access and scholarly communication, ethics and governance, professional training, the development of machine-readable collections, and the integration of AI technologies into library services.

Discussion: These findings suggest that AI-related research has rapidly emerged as a highly influential area within scientific publishing. The variety of themes demonstrates the broad impact of AI technologies on scientific publishing.

Conclusion: Research on AI in scientific publishing is a rapidly growing and dynamic area, notable for its high citation impact, broad thematic scope, and growing influence on libraries and librarianship.

URL : Artificial Intelligence in Scientific Publishing: Citation Impact and Thematic Trends

DOI : https://doi.org/10.31274/jlsc.20363

Catégories
EN

Assessing Researcher Data Sharing Practices Using Publicly Available Dataset Metadata: A Reproducible Workflow for Institutional Stakeholders

Authors : Danielle R. Kirsch, Isaac Wink

Introduction: Scholarly communities are experiencing increased emphasis on research data sharing and reuse. Given the range of available data repositories and variability in the use of persistent identifiers (PIDs) for individuals and institutions, aggregating datasets by researchers at a specific institution is a significant challenge. We developed a reproducible workflow to evaluate 1) data repository use by researchers at our institutions, 2) metrics of reuse, and 3) quality of metadata records.

Methods: We used the DataCite REST API to locate metadata records for datasets with creator affiliation names that matched our institutions. We performed substantial cleaning and deduplication before comparing repository use, citations, usage metrics, and metadata completeness.

Results: The most common data repositories were Dryad, Harvard Dataverse, figshare, Zenodo, ICPSR, and one institution’s institutional repository. View, download, and citation counts were available from a limited number of repositories, with some discrepancies between different citation reporting methods. PIDs were more frequently used for authors and affiliations than funders, and the inclusion of PIDs varied across repositories, with Dryad being the most consistent.

Discussion & Conclusion: Although broad trends in repository and PID use were similar between institutions, our analysis also surfaced examples that illustrate inconsistencies in metadata across repositories. Variable implementation of the DataCite metadata schema requires a significant amount of data cleaning to obtain meaningful results. Even then, incomplete metadata makes some datasets impossible to locate. Repositories, funders, researchers, and institutional open data advocates must coordinate to create complete and usable metadata that integrates datasets into the scholarship ecosystem.

URL : Assessing Researcher Data Sharing Practices Using Publicly Available Dataset Metadata: A Reproducible Workflow for Institutional Stakeholders

DOI : https://doi.org/10.31274/jlsc.22913