Étiquette : research data

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EN

Building internationally competitive journals for science data sharing: The evolution of three biomedical English academic journals launched in China

Authors : Huisheng Wang, Hao Cheng

Academic journals serve as the platform of scientific collaboration. As China’s contribution to world-class science is advancing at a remarkable pace, cultivating world-class English-language journals has become a national imperative issue. Taking Academician George F. Gao and the three flagship journals he founded or led—Protein & Cell (2010), China CDC Weekly (2019), and hLife (2023)—as examples, herein we trace the evolutionary trajectory of English-language periodicals in China, dissecting their evolving missions, internationalization strategies and contributions to biosafety and ethical governance to provide a reproducible roadmap for currently-emerging journals.

Through analyses of the case of clustered regularly interspaced short palindromic repeats (CRISPR) gene-editing ethics controversy, pandemic-data-sharing protocols, and international cooperation frameworks, we highlight that journals are pivotal arenas where domestic and global scientific discourses on critical biosafety and public health issues are made.

Building internationally competitive journals for science data sharing scientific governance will serve as a critical foundation for China’s ambitions to become a scientific power and for its deeper engagement in global science and technology governance.

URL : Building internationally competitive journals for science data sharing: The evolution of three biomedical English academic journals launched in China

DOI : https://doi.org/10.1016/j.bsheal.2026.04.002

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L’archiviste et la gestion des jeux de données ouvertes de recherche en milieu universitaire canadien : une visibilité à accroître, des collaborations à développer

Autrice : Siham Alaoui

Avec le mouvement de la science ouverte militant pour un accès équitable aux résultats de la recherche scientifique, les chercheurs universitaires sont tenus de déposer leurs jeux de données de recherche sous une forme ouverte et réutilisable par un tiers. Pourvu que ces traces documentaires soient réexploitables, il importe qu’elles obéissent à des critères de qualité définies selon les principes FAIR (Findable, accessible, interoperable and reusable).

Pour ce faire, plusieurs experts, nommément les bibliothécaires universitaires, accompagnent les chercheurs dans la gestion de leurs jeux de données de recherche. D’un point de vue archivistique, les jeux de données de recherche sont des preuves des activités scientifiques, ce qui laisse entendre qu’elles devraient également être prises en charge par les archivistes universitaires.

Cependant, ces derniers sont souvent peu présents dans ce contexte et leur rôle est, dans la plupart des cas, limité à la préservation à long terme de ces données. Dans cet article, nous nous attachons à la gestion des jeux de données ouvertes de recherche d’une perspective archivistique, en conceptualisant le rôle des archivistes universitaires dans la gestion collaborative de ces traces.

En mobilisant des corpus scientifiques pertinents en sciences de l’information, nous modélisons les relations que les archivistes entretiennent avec les autres parties prenantes impliquées dans la gouvernance des données ouvertes de recherche en milieu universitaire canadien. Notre recherche contribue à l’avancement des connaissances sur le rôle de l’archiviste universitaire dans la gouvernance collaborative des données de recherche.

URL : L’archiviste et la gestion des jeux de données ouvertes de recherche en milieu universitaire canadien : une visibilité à accroître, des collaborations à développer

DOI : https://doi.org/10.34874/IMIST.PRSM/jis-v24i1.57657

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Data Availability Statements in Mega Journals: A Comparative Analysis of Global and Korea-Affiliated Publications in Health and Medical Research

Authors : Sanghee Oh, Yunseo Park, Seyun Sim

Data Availability Statements (DAS) have become a standard mechanism for promoting transparency and reproducibility in open-access mega journals, yet questions remain about how effectively they support meaningful data sharing in practice and how these practices vary across national research contexts.

This study examines data-sharing practices in the medical and health sciences through a comparative analysis of global publications and Korea-affiliated articles in three mega journals indexed in PubMed Central: PLOS ONE, Scientific Reports and BMJ Open (2020–2024). DAS from 176,145 articles were collected from PubMed Central using an automated pipeline with manual validation and classified into a seven-category typology reflecting levels of data accessibility and reuse.

Results indicate that although DAS inclusion increased over time, repository-based data sharing remains limited, while ‘data available upon request’ continues to be prevalent. Clear differences are observed across journals: PLOS ONE shows greater use of repository-based and in-article sharing, whereas Scientific Reports and BMJ Open rely more heavily on ‘data available upon request’. Korea-affiliated articles largely follow global trends, with slightly greater reliance on national public data repositories.

Repository use is concentrated among a small number of international multidisciplinary platforms and selected national biomedical databases. The findings reveal a persistent gap between formal DAS compliance and effective data accessibility, indicating the need for clearer, more actionable data-sharing guidance.

URL : Data Availability Statements in Mega Journals: A Comparative Analysis of Global and Korea-Affiliated Publications in Health and Medical Research

DOI : https://doi.org/10.1002/leap.2083

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FR

Pratiques de gestion et de partage des données de recherche. Retour d’expérience de quatre projets SHS lauréats du Prix Science Ouverte 2025

Auteur/Author : Joachim Schöpfel

Cet article propose une étude comparative de quatre projets de recherche lauréats du Prix Science Ouverte 2025 issus des sciences humaines et sociales (humanités numériques, linguistique, sociologie quantitative et longitudinale), en se concentrant sur leurs pratiques de gestion des données de recherche.

À partir d’entretiens qualitatifs, l’étude examine les types de données produites, les modalités de gestion, les responsabilités, ainsi que les stratégies de partage et de valorisation. L’analyse est structurée selon les principes FAIR (Findable, Accessible, Interoperable, Reusable). Les résultats mettent en évidence une forte hétérogénéité des pratiques, mais aussi une convergence vers une professionnalisation accrue de la gestion des données et une intégration progressive des exigences de la science ouverte.

Une attention particulière est accordée à l’impact du Prix Science Ouverte des Données de la Recherche, dont les effets se manifestent principalement en termes de reconnaissance, de visibilité et de consolidation des pratiques.

URL : https://lilloa.hal.science/hal-05634994v2

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EN

Modeling the impact of research data unavailability on science

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

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EN

PreprintToPaper dataset: connecting bioRxiv preprints with journal publications

Autors : Fidan Badalova, Julian Sienkiewicz, Philipp Mayr

The PreprintToPaper dataset connects bioRxiv preprints with their corresponding journal publications, enabling large-scale analysis of the preprint-to-publication process. It comprises metadata for 145,517 preprints from two periods, 2016–2018 (pre-pandemic) and 2020–2022 (pandemic), retrieved via the bioRxiv and Crossref APIs.

We selected the two periods to capture preprint-publication dynamics before and during the COVID-19 pandemic while avoiding transitional years. Each record includes bibliographic information such as titles, abstracts, authors, institutions, submission dates, licenses, and subject categories, alongside enriched publication metadata including journal names, publication dates, author lists, and further information.

In addition to the main dataset, a version-history subset provides all available versions of preprints within the two selected periods, enabling analysis of how preprints evolve over time. Preprints are categorized into three groups: Published (formally linked to a journal article), Preprint Only (posted on a preprint server), and Gray Zone (potentially published in a journal but unlinked).

To enhance reliability, title and author similarity scores were computed, and a human-annotated subset of 299 records was created to evaluate Gray Zone cases. The dataset supports diverse applications, including studies of scholarly communication, open science policies, bibliometric tool development, and natural language processing research on textual changes between preprints and their corresponding journal articles.

URL : PreprintToPaper dataset: connecting bioRxiv preprints with journal publications

DOI : https://doi.org/10.1038/s41597-026-06867-3

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EN

Evaluating the efficacy and impact of a pilot programme for FAIR data stewardship at a UK university

Authors : Zuzanna Zagrodzka, Jenni Adam, Richard Campbell, Helen Foster

Increasingly, funders, publishers, and institutions expect researchers to comply with the FAIR principles to ensure that data is findable, accessible, interoperable, and reusable. In an institutional context, however, questions remain as to how organisations can move beyond a broad commitment to FAIR, coupled with support for researchers to comply nominally with related grant conditions, to a more embedded and sustainable approach with a meaningful and pervasive impact on the FAIRness of research outputs.

A data stewardship model offers one way to achieve this, yet in contrast to universities in mainland Europe and especially in the Netherlands, the UK is substantially lacking in such infrastructure at an institutional level, hampering efforts to evidence its potential impact within UK institutions and thereby advocate for its adoption.

This article examines efforts to address this challenge via a recent project at the University of Sheffield to establish a pilot support service around FAIR data stewardship. It also provides a case study of how the benefits and impact of such an intervention might be identified and articulated through an evidence-led evaluation.

URL : Evaluating the efficacy and impact of a pilot programme for FAIR data stewardship at a UK university 

DOI : https://doi.org/10.2218/ijdc.v19i1.1035