Archives des mots-clés : open science

The promotion and implementation of open science measures among high-performing journals from Brazil, Mexico, Portugal, and Spain

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Authors : Chris Fradkin, Rogério Mugnaini

This study empirically examined the promotion and implementation of open science measures among high-performing journals of Brazil, Mexico, Portugal, and Spain. Journal policy related to data sharing, materials sharing, preregistration, open peer review, and consideration of preprints and replication studies was gathered from the websites of the journals.

Four hundred articles were coded for the inclusion of data availability statements, conflict of interest disclosures, funding disclosures, DOI, ORCID, and continuous publishing. Analyses found a higher promotion of open science measures among Brazilian journals than their Portuguese counterparts, and higher promotion of open science measures among international journals than their domestic counterparts.

Analyses found higher implementation of open science measures among Brazilian journals than their Portuguese and Mexican counterparts. One journal out of 40 encouraged preregistration of studies; none encouraged replication studies and none had implemented open peer review.

These findings reveal reasonably strong implementation of secondary open science measures (e.g., DOI, ORCID, conflict of interest and funding source disclosure) among the sample, but weaker implementation of primary measures (e.g., open data, open materials, replication studies and open peer review).

The implications of these findings are considered and suggestions are made to bolster the adoption of open science measures among Ibero-American scientific journals.

URL : The promotion and implementation of open science measures among high-performing journals from Brazil, Mexico, Portugal, and Spain

Why academics under-share research data: A social relational theory

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Authors : Janice Bially Mattern, Joseph Kohlburn, Heather Moulaison-Sandy

Despite their professed enthusiasm for open science, faculty researchers have been documented as not freely sharing their data; instead, if sharing data at all, they take a minimal approach. A robust research agenda in LIS has documented the data under-sharing practices in which they engage, and the motivations they profess.

Using theoretical frameworks from sociology to complement research in LIS, this article examines the broader context in which researchers are situated, theorizing the social relational dynamics in academia that influence faculty decisions and practices relating to data sharing.

We advance a theory that suggests that the academy has entered a period of transition, and faculty resistance to data sharing through foot-dragging is one response to shifting power dynamics. If the theory is borne out empirically, proponents of open access will need to find a way to encourage open academic research practices without undermining the social value of academic researchers.

URL : Why academics under-share research data: A social relational theory

DOI : https://doi.org/10.1002/asi.24938

The societal impact of Open Science: a scoping review

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Authors : Nicki Lisa Cole, Eva Kormann, Thomas Klebel, Simon Apartis, Tony Ross-Hellauer

Open Science (OS) aims, in part, to drive greater societal impact of academic research. Government, funder and institutional policies state that it should further democratize research and increase learning and awareness, evidence-based policy-making, the relevance of research to society’s problems, and public trust in research. Yet, measuring the societal impact of OS has proven challenging and synthesized evidence of it is lacking.

This study fills this gap by systematically scoping the existing evidence of societal impact driven by OS and its various aspects, including Citizen Science (CS), Open Access (OA), Open/FAIR Data (OFD), Open Code/Software and others. Using the PRISMA Extension for Scoping Reviews and searches conducted in Web of Science, Scopus and relevant grey literature, we identified 196 studies that contain evidence of societal impact. The majority concern CS, with some focused on OA, and only a few addressing other aspects.

Key areas of impact found are education and awareness, climate and environment, and social engagement. We found no literature documenting evidence of the societal impact of OFD and limited evidence of societal impact in terms of policy, health, and trust in academic research. Our findings demonstrate a critical need for additional evidence and suggest practical and policy implications.

URL : https://doi.org/10.1098/rsos.240286

To share or not to share? Image data sharing in the social sciences and humanities

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Authors : Elina Late, Mette Skov, Sanna Kumpulainen

Introduction

The paper aims to investigate image data sharing within social science and humanities. While data sharing is encouraged as a part of the open science movement, little is known about the approaches and factors influencing the sharing of image data.

This information is evident as the use of image data in these fields of research is increasing, and data sharing is context dependent.

Method

The study analyses qualitative semi-structured interviews with 14 scholars who incorporate digital images as a core component of their research data.

Analysis

Content analysis is conducted to gather information about scholars’ image data sharing and motivating and impeding factors related to it.

Results

The findings show that image data sharing is not an established research practice, and when it happens it is mostly done via informal means by sharing data through personal contacts. Supporting the scientific community, the open science agenda and fulfilling research funders’ requirements motivate scholars to share their data. Impeding factors relate to the qualities of data, ownership of data, data stewardship, and research integrity.

Conclusion

Advancing image data sharing requires the development of research infrastructures and providing support and guidelines. Better understanding of the scholars’ image data practices is also needed.

URL : To share or not to share? Image data sharing in the social sciences and humanities

DOI : https://doi.org/10.47989/ir292834

Open Science at the Generative AI Turn: An Exploratory Analysis of Challenges and Opportunities

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Authors : Mohammad Hosseini, Serge P.J.M. Horbach, Kristi L. Holmes, Tony Ross-Hellauer

Technology influences Open Science (OS) practices, because conducting science in transparent, accessible, and participatory ways requires tools/platforms for collaborative research and sharing results. Due to this direct relationship, characteristics of employed technologies directly impact OS objectives. Generative Artificial Intelligence (GenAI) models are increasingly used by researchers for tasks such as text refining, code generation/editing, reviewing literature, data curation/analysis.

GenAI promises substantial efficiency gains but is currently fraught with limitations that could negatively impact core OS values such as fairness, transparency and integrity, and harm various social actors. In this paper, we explore possible positive and negative impacts of GenAI on OS.

We use the taxonomy within the UNESCO Recommendation on Open Science to systematically explore the intersection of GenAI and OS. We conclude that using GenAI could advance key OS objectives by further broadening meaningful access to knowledge, enabling efficient use of infrastructure, improving engagement of societal actors, and enhancing dialogue among knowledge systems.

However, due to GenAI limitations, it could also compromise the integrity, equity, reproducibility, and reliability of research, while also having potential implications for the political economy of research and its infrastructure. Hence, sufficient checks, validation and critical assessments are essential when incorporating GenAI into research workflows.

URL : Open Science at the Generative AI Turn: An Exploratory Analysis of Challenges and Opportunities

DOI : https://doi.org/10.31235/osf.io/zns7g

L’édition scientifique en France : de la censure à l’ouverture : révolutions politiques, commerciales, technologiques… et autres problèmes éthiques

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Autrice/Author : Lise Verlaet

A travers une analyse systémique de l’édition scientifique en France – et plus particulièrement via une étude des contextes historiques, socio-économiques et politique – cet article soulève les problématiques éthiques qui ont jalonné la construction de l’écosystème scientifique et l’exploitation des produits de la recherche, et livre une réflexion sur les défis éthiques liés à la mise en place depuis 2018 de la politique de la Science Ouverte mais aussi des conséquences directes que cela va avoir sur les pratiques des chercheurs.

URL : L’édition scientifique en France : de la censure à l’ouverture : révolutions politiques, commerciales, technologiques… et autres problèmes éthiques

DOI : https://doi.org/10.25965/interfaces-numeriques.5262