InfoDoc MicroVeille – Veille dédiée aux Sciences de l'Information et des Bibliothèques // Collecting and Sharing research papers in Library and Information science ISSN 2429-3938

Developing digital stories in research for science communication: reflections from researchers

Posted on 27 mai 2026 by Hans Dillaerts

Authors : Leanne Townsend, Mikelis Grivins, Christina Noble, Claire Hardy, Livia Ortolani, Gusztáv Nemes, Marta Baena-Sanz, Mags Currie, Mar Delgado

Audiovisual communication methods such as digital storytelling can reach wide audiences to realise greater societal research impact. Increasingly, researchers embrace (or are expected to embrace) these approaches but often lack relevant skills.

This paper draws on Horizon Europe-funded research where digital stories were developed in 20 European regions. Findings from a survey completed by the researchers highlight skills- and engagement-based challenges and explore how capacity to develop digital stories was built.

The paper focuses on the role of digital storytelling in science communication, and the challenges researchers face in developing these outputs, including in ensuring meaningful participant involvement and the authentic representation of participants’ voices within the final narratives.

We discuss how to better support researchers to embrace digital storytelling as a science communication method, with recommendations for effective research impact.

URL : Developing digital stories in research for science communication: reflections from researchers

DOI : https://doi.org/10.22323/148520260131095010

Modeling the impact of research data unavailability on science

Posted on 27 mai 2026 by Hans Dillaerts

Authors : Jorge Chamorro-Padial, Francisco-Javier Rodrigo-Ginés, Rosa Rodríguez-Sánchez, R.M. Gil, Roberto García

Scientific progress depends on the accessibility and reproducibility of research outputs. Unfortunately, datasets and other referenced resources in academic publications frequently become unavailable over time, limiting reproducibility and reuse.

In this work, we quantitatively analyze the potential impact of research data unavailability by applying economic, probabilistic, and network based models to scientific citation networks. Rather than measuring knowledge directly, we use citation based network metrics as proxies for the dissemination and potential reuse of scientific results, and study how the absence of data-linked resources affects impact propagation and productivity-related indicators.

We further examine the resilience of citation networks under different modeling assumptions and analyze the role of highly influential nodes, or superpropagators, in amplifying the effects of dataset loss.

Our results reveal structural dependencies on vulnerable data sources and show that the magnitude of the impact depends strongly on network position and model assumptions.

These findings provide quantitative evidence of the systemic consequences of data unavailability and underline the importance of long-term data preservation and accessibility policies in scientific research.

URL : Modeling the impact of research data unavailability on science

DOI : https://doi.org/10.1016/j.joi.2026.101813

Challenges of Open Access Adoption in Low-Resource Settings: Lessons From Tunisia

Posted on 22 mai 2026 by Hans Dillaerts

Author : Ridha Mhamdi

Introduction

Open Access (OA) publishing is a transformative movement that removes subscription barriers to facilitate unrestricted dissemination of scholarly research. This study aims to identify gaps in OA adoption in Tunisia, assess whether Gold OA publications enhance the visibility and impact of research, and determine how OA publishing aligns with the Sustainable Development Goals (SDGs).

Methods

Using Scopus data, we performed a bibliometric analysis of Tunisian research (2020-2024), including publication trends, citation metrics, SDG alignment, and funding sources of OA publications.

Results

Despite high regional productivity, over 60% of publications by Tunisian researchers remain paywalled, limiting their visibility. Hybrid Gold OA demonstrated the highest citation impact, while the advantage of Gold OA was constrained by publication in lower-prestige journals. Although Medicine, Computer Science, and Engineering were the dominant fields in OA output, only 40% of OA publications were aligned with the SDGs.

International collaboration, notably with Saudi Arabia, was a key driver of OA adoption. However, high article processing charges (APCs) and a heavy reliance on institutional funding present significant financial barriers.

Conclusion

Tunisia’s OA expansion is hindered by financial sustainability challenges and a misalignment with SDG-focused research. To enhance global research visibility and contribution to sustainable development, we recommend strategic policy shifts: redirecting funds from subscriptions to OA models, pursuing transformative agreements, supporting Diamond OA, and incentivizing high-impact, sustainability-focused research.

URL : Challenges of Open Access Adoption in Low-Resource Settings: Lessons From Tunisia

DOI : https://doi.org/10.31274/jlsc.21182

Visions and Infrastructures of Open Science

Posted on 19 mai 2026 by Hans Dillaerts

Author : Parissa Mokhtabad Amrei

Open Science practices are shaping both science and policymaking. This thesis examines the visions of Open Science and their enactments through four empirical cases. It provides an understanding of what Open Science means in terms of infrastructures: in cases where Open Science practices exhibit infrastructuring efforts, where they reconfigure existing infrastructures, or where such infrastructuring efforts are not sustained.

URL : https://research.chalmers.se/en/publication/552096

AI In Academic Publishing for Non-Native English Speakers: The Good, the Bot, and the Ugly

Posted on 15 mai 2026 by Hans Dillaerts

Authors : Talip Gönülal, Ramazan Güçlü, Salih Güçlü

This exploratory study investigated the impact of artificial intelligence (AI) tools on academic publishing for non-native English-speaking researchers. Through a mixed-methods convergent parallel design, it examined how these scholars utilize AI tools, their perceived benefits, and concerns regarding AI’s influence on academic publishing.

Data were collected from 105 non-native English-speaking academics coming from 25 language backgrounds. Participants primarily employed AI tools for grammar improvement, writing style enhancement, and translation, while maintaining control over higher-level intellectual tasks such as organizing manuscripts.

Three key dimensions of the perceived impact of AI were identified in this study: the good, reducing linguistic inequalities by improving paper quality and decreasing language-related challenges; the bad, involving inaccurate or misleading AI suggestions, over-reliance on AI tools, and diminished engagement with manuscripts; and the ugly, characterized by failure to disclose AI use, lack of clear guidelines for responsible AI integration in research, homogenization of academic writing, and the emergence of new forms of inequality.

The study concluded with several recommendations for individual researchers, academic institutions, and publishers and journals to promote the ethical and effective use of AI in academic publishing.

URL : AI In Academic Publishing for Non-Native English Speakers: The Good, the Bot, and the Ugly

DOI : https://doi.org/10.1002/leap.2070

Do Early Career Researchers Consider AI as an Opportunity or a Threat? A Pathfinding Study

Posted on 15 mai 2026 by Hans Dillaerts

Authors : David Nicholas, David Clark, Abdullah Abrizah, John Akeroyd, Eti Herman, Jorge Revez, Blanca Rodríguez-Bravo, Marzena Swigon, Tatyana Polezhaeva, Anne Gere

The article presents the latest (2025) iteration of the Harbingers longitudinal project on early career researchers (ECRs), artificial intelligence (AI) and scholarly communications. In conversation with a purposive and diverse sample of more than 60 ECRs in six countries and numerous subjects, we present an evaluation of a pressing issue: what impact will AI have on their work and career?

An important issue is that widespread media speculation suggests that it is entry-level positions that will be hit hardest by AI. While ECRs were asked 50 plus questions during interviews, none were directly asked about changes to job security and employment prospects, yet much of relevance was volunteered in answering related AI questions.

Adding a new methodological dimension to the Harbingers project, we employed AI (NotebookLM) for an initial qualitative analysis of the interview data, with findings reviewed and corrected by the national interviewers. We conclude that AI is a double-edged sword which has huge potential as well as posing significant challenges.

The AI-assisted analysis proved effective at identifying broad themes, though human oversight was essential to capture nuance, differences between cohorts, and unusual cases. Finally, given that we were working with a select and relatively small sample to inform a larger study, the data should be seen as illuminating and filling a research lacuna, rather than a definitive result in a fast-changing field.

URL : Do Early Career Researchers Consider AI as an Opportunity or a Threat? A Pathfinding Study

DOI : https://doi.org/10.1002/leap.2068