Étiquette : data sharing

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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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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

Catégories
EN

Digging deeper into data citations: recognizing and rewarding data work

Authors :  Kathleen Gregory, Stefanie Haustein, Constance Poitras, Emma Roblin, Anton Ninkov, Chantal Ripp, Isabella Peters

Citations and metrics are central features in evaluating academic careers. As researchers increasingly engage in open science, data citations have emerged as potential mechanisms for evaluating and rewarding data sharing and reuse in academic assessments.

Despite this, we still lack critical information about the data citation practices and motivations of researchers themselves, information which is needed to contextualize the use of such metrics.

Here, we present the results of a semi-structured interview study with researchers across disciplines exploring their data referencing practices and motivations, as well as how they would like their ‘data work’ (including data sharing) to be rewarded and evaluated. As a whole, our findings confirm a lack of standard practices for referencing data and provide new insights into the social and scientific reasons motivating data referencing.

While our results show an overall skepticism toward the use of citation-based metrics in evaluations, they also suggest that researchers are caught between traditional and emergent modes of assessment for recognizing data work.

Furthermore, we find that rather than valuing data citations as rewards, our participants value creating data objects which are useful for their (often small) research communities. Ultimately, we conclude that data work is a cornerstone of research practice which needs to be evaluated and considered, but one which also requires context-aware approaches.

URL : Digging deeper into data citations: recognizing and rewarding data work

DOI : https://doi.org/10.1093/reseval/rvag008

Catégories
EN

Open science in Spain: Influence of personal and contextual factors on deposit patterns

Author :  Daniel de Gracia Palomera

Background

This study investigates factors influencing the deposit of academic publications and research data in open access repositories by Spanish researchers.

Methods

Using survey data from a sample of Spanish academics, the research examines the impact of personal attributes (e.g., gender, age, knowledge of open science) and contextual variables (e.g., academic discipline, institutional type) on deposit behaviours. Quantitative methods, including chi-square tests and regression analysis, reveal significant associations between knowledge of open science and deposit practices.

Results

Researchers familiar with open science principles were more likely to deposit multiple versions of articles and datasets, albeit with varying intensity. Key findings highlight disciplinary and institutional differences: researchers in Life Sciences and Experimental Sciences showed higher engagement with both article and data deposits, whereas Health Sciences lagged. Gender differences were also observed, with male researchers depositing articles and datasets more frequently than their female counterparts, though age showed limited impact. Public institutions exhibited lower data deposit rates despite mandates supporting open access.

Conclusions

The study underscores the need for tailored policies, including awareness campaigns, infrastructure investment, and discipline-specific strategies, to promote equitable and widespread adoption of open science practices. Findings contribute to understanding open science implementation, emphasizing the interplay of individual, institutional, and systemic factors.

URL : Open science in Spain: Influence of personal and contextual factors on deposit patterns

DOI : https://doi.org/10.12688/f1000research.160207.1

 

Catégories
EN

Research Data in Scientific Publications: A Cross-Field Analysis

Authors : Puyu Yang, Giovanni Colavizza

Data sharing is fundamental to scientific progress, enhancing transparency, reproducibility, and innovation across disciplines. Despite its growing significance, the variability of data-sharing practices across research fields remains insufficiently understood, limiting the development of effective policies and infrastructure.

This study investigates the evolving landscape of data-sharing practices, specifically focusing on the intentions behind data release, reuse, and referencing. Leveraging the PubMed open dataset, we developed a model to identify mentions of datasets in the full-text of publications. Our analysis reveals that data release is the most prevalent sharing mode, particularly in fields such as Commerce, Management, and the Creative Arts.

In contrast, STEM fields, especially the Biological and Agricultural Sciences, show significantly higher rates of data reuse. However, the humanities and social sciences are slower to adopt these practices. Notably, dataset referencing remains low across most disciplines, suggesting that datasets are not yet fully recognized as research outputs.

A temporal analysis highlights an acceleration in data releases after 2012, yet obstacles such as data discoverability and compatibility for reuse persist. Our findings can inform institutional and policy-level efforts to improve data-sharing practices, enhance dataset accessibility, and promote broader adoption of open science principles across research domains.

Arxiv : https://arxiv.org/abs/2502.01407

Catégories
EN

Researchers and Research Data: Improving and Incentivising Sharing and Archiving

Authors : Minna Ventsel, Beth Montague-Hellen

There has been a lot of discussion within the scientific community around the issues of reproducibility in research, with questions being raised about the integrity of research due to failure to reproduce or confirm the findings of some of the studies. Researchers need to adhere to the FAIR (findable, accessible, interoperable, and reusable) principles to contribute to collaborative and open science, but these open data principles can also support reproducibility and issues around ensuring data integrity.

This article uses observations and metrics from data sharing and research integrity related activities, undertaken by a Research Integrity and Data Specialist at the Francis Crick Institute, to discuss potential reasons behind a slow uptake of FAIR data practices. We then suggest solutions undertaken at the Francis Crick institute which can be followed by institutes and universities to improve the integrity of research from a data perspective.

One major solution discussed is the implementation of a data archive system at the Francis Crick Institute to ensure the integrity of data long term, comply with our funders’ data management requirements, and to safeguard our researchers against any potential research integrity allegations in the future.

URL : Researchers and Research Data: Improving and Incentivising Sharing and Archiving

DOI : https://doi.org/10.2218/v19i1.983

Catégories
EN

When data sharing is an answer and when (often) it is not: Acknowledging data-driven, non-data, and data-decentered cultures

Authors : Isto Huvila, Luanne S. Sinnamon

Contemporary research and innovation policies and advocates of data-intensive research paradigms continue to urge increased sharing of research data. Such paradigms are underpinned by a pro-data, normative data culture that has become dominant in the contemporary discourse. Earlier research on research data sharing has directed little attention to its alternatives as more than a deficit. The present study aims to provide insights into researchers’ perspectives, rationales and practices of (non-)sharing of research data in relation to their research practices.

We address two research questions, (RQ1) what underpinning patterns can be identified in researchers’ (non-)sharing of research data, and (RQ2) how are attitudes and data-sharing linked to researchers’ general practices of conducting their research. We identify and describe data-decentered culture and non-data culture as alternatives and parallels to the data-driven culture, and describe researchers de-inscriptions of how they resist and appropriate predominant notions of data in their data practices by problematizing the notion of data, asserting exceptions to the general case of data sharing, and resisting or opting out from data sharing.

URL : When data sharing is an answer and when (often) it is not: Acknowledging data-driven, non-data, and data-decentered cultures

DOI : https://doi.org/10.1002/asi.24957