Étiquette : open science

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EN

“Well, Parts of Linguistics Is Open…”: Insights into Linguists’ Diverse Understandings of Open Science

Author : Elen Le Foll

Broadly defined as the study of language, linguistics is a diverse field spanning many disciplines. Recent studies on the prevalence of Questionable Research Practices (QRPs) in linguistics (e.g. Isbell et al. 2022) suggest that it suffers from many of the same issues that triggered the replication crisis in psychology (see e.g. Sönning and Werner 2021). While surveys have indicated that linguists are generally in favour of Open Science/Scholarship (OS), there appears to be a “a misalignment between the attitude to and the adoption of OS practices” (Liu and de Cat 2024, 64).

The present study aims to gain insights into this misalignment by exploring linguists’ understanding of what constitutes OS and of the specificities of linguistic research that (can) affect its applicability to (subdisciplines of) linguistics. To this end, the study draws on the results of an anonymous, small-scale survey and the qualitative analysis of semi-structured interviews conducted with 26 linguists based in Northern Europe, representing all career stages, and a wide range of subdisciplines within linguistics.

The results reveal diverse understandings of OS among linguists. While some focus on the accessibility of research (for both academics and the wider public), others prioritise the sharing of data, materials, and code to promote transparency, reproducibility, and replicability. The latter group also emphasises the importance of OS principles and values like rigour, fairness, and collaboration. Linguists report learning about OS through conferences, workshops, library services, and social media but, most importantly, in personal interactions with other researchers, thus making much of this knowledge network-dependent.

The interviewees highlight several challenges and considerations that they believe need to be addressed when applying OS to linguistics. These include ethical and legal issues concerning data sharing, the high inter-person variability inherent to many linguistic studies, the need for (more) funding for open-access monographs, and for training in data management and statistical methods.

URL : “Well, Parts of Linguistics Is Open…”: Insights into Linguists’ Diverse Understandings of Open Science

DOI : https://doi.org/10.3998/jep.7974

Catégories
FR

Tensions et zones d’ombre autour de la science ouverte en SHS en France

Autrice : Ionna Faïta

À l’heure où la science ouverte s’impose comme un cadre structurant des politiques de recherche, cette revue de littérature critique explore les débats qui accompagnent son appropriation dans les sciences humaines et sociales (SHS) en France. Elle s’appuie sur un corpus hétérogène et non exhaustif de publications de statuts variés, parues entre 2010 et 2025, constitué par veille et recherche bibliographique itérative dans le cadre d’une recherche doctorale.

L’objectif est de nourrir une réflexion sur la réception des politiques de science ouverte dans les SHS, entre discours visibles — au sens de publiés — et pratiques concrètes. Nous proposons une articulation critique des productions scientifiques consacrées à la science ouverte, en mettant en lumière les tensions qui traversent sa mise en œuvre et les arbitrages qu’elle engage.

À partir d’un corpus polymorphe — articles de recherche, articles d’opinion, rapports, communications —, nous organisons l’examen autour de six objets : open access, ouverture, science(s) ouverte(s), mutations des circuits éditoriaux distinctes entre le livre et la revue scientifique, données de recherche en SHS et institutionnalisation. Cette approche vise à éclairer la circulation de ces discussions, entre ancrages disciplinaires et spécificité nationale : ainsi nous souhaitons engager un dialogue avec la littérature internationale.

URL : Tensions et zones d’ombre autour de la science ouverte en SHS en France

DOI : https://doi.org/10.3998/jep.7854

Catégories
EN

Perceptions and values of Spanish women scientists towards digital science communication

Authors : Rosana Villares, Carmen Pérez-Llantada, Oana Maria Carciu

The digitalisation of science communication has been widely promoted within the Open Science movement in Europe to foster the social impact of research, as well as a more participatory culture of science.

Using semi-structured interviews, we explore Spanish women scientists’ values and perceptions regarding digital science communication. Results highlight the social value of science communication as well as intrinsic motivation as factors to actively engage in disseminating, educating and promoting science digitally.

Adopting Open Science principles, participants craft open access multimodal materials (e.g., educational short videos, podcasts), use supporting multimodal resources and digital tools, and engage in social media to reach broad audiences.

Finally, we propose some policy recommendations and pedagogical guidelines in terms of digital literacy, digital genres, and science accommodation strategies to promote digital science communication.

URL : Perceptions and values of Spanish women scientists towards digital science communication

DOI : https://doi.org/10.22323/156420251226063745

Catégories
EN

A framework for assessing the trustworthiness of scientific research findings

Authors : Brian A. Nosek, David B. Allison, Kathleen Hall Jamieson, Marcia McNutt, A. Beau Nielsen, Susan M. Wolf

Vigorous debate has erupted over the trustworthiness of scientific research findings in a number of domains. The question “what makes research findings trustworthy?” elicits different answers depending on whether the emphasis is on research integrity and ethics, research methods, transparency, inclusion, assessment and peer review, or scholarly communication. Each provides partial insight.

We offer a systems approach that focuses on whether the research is accountable, evaluable, well-formulated, has been evaluated, controls for bias, reduces error, and whether the claims are warranted by the evidence. We tie each of these components to measurable indicators of trustworthiness for evaluating the research itself, the researchers conducting the research, and the organizations supporting the research.

Our goals are to offer a framework that can be applied across methods, approaches, and disciplines and to foster innovation in development of trustworthiness indicators. Developing valid indicators will improve the conduct and assessment of research and, ultimately, public understanding and trust.

URL : A framework for assessing the trustworthiness of scientific research findings

DOI : https://doi.org/10.1073/pnas.2536736123

Catégories
EN

Data stewardship through the lens of Open Science Career Assessment Matrix

Authors : Antti M. Rousi, Xiaolong Li, Lara Ejtehadia, Richard Dars, Pedro E.S. Silv, Udayanto Dwi Atmoj

Data stewardship is a key expertise needed for the transformation towards more open and transparent science. This is particularly relevant in research institutions, where data stewards play a direct role in supporting research under open science requirements.

However, the absence of established frameworks and merits for assessing this expertise has hindered recognition, professional development, and the integration of data stewardship into institutional practices.

This work aims to examine how multidisciplinary data stewardship work transpires through the Open Science Career Assessment Matrix (OS-CAM); a tool designed to assess open science contributions across various dimensions. Using a case study approach, we report findings from a workshop where a multidisciplinary team of experts engaged in data stewardship described their work in relation to OS-CAM.

This work presents a summary of the CV narratives and suggested merits for data stewardship developed in the workshop. Assessing data stewardship through OS-CAM provides a structured framework for evaluating, recognising, and rewarding these contributions, thereby increasing their visibility in academic and professional evaluations.

However, our study also reveals notable gaps in OS-CAM’s coverage of data stewardship, particularly the underrepresentation of infrastructure-related activities such as the management of data repositories.

It is important to note that while OS-CAM may offer value in academic research settings, it is less applicable for data stewardship roles that extend beyond research or open science.

Therefore, we recommend further research to include diverse institutions and participants, combined with other complementary frameworks, for a more comprehensive understanding of data stewardship’s contribution to science and its recognition in or beyond academic communities.

URL : Data stewardship through the lens of Open Science Career Assessment Matrix

DOI : https://doi.org/10.2218/ijdc.v19i1.1088

Catégories
EN

To Be FAIR: Theory Specification Needs an Update

Authors : Caspar J. Van Lissa, Aaron Peikert, Maximilian S. Ernst, Noah N. N. van Dongen, Felix D. Schönbrod, Andreas M. Brandmaier

Open science innovations have focused on rigorous theory testing, yet methods for specifying, sharing, and iteratively improving theories remain underdeveloped. To address this limitation, we introduce FAIR theory, a standard for specifying theories as findable, accessible, interoperable, and reusable digital objects.

FAIR theories are findable in well-established archives; accessible in terms of their availability and ability to be understood; interoperable for specific purposes, such as selecting control variables; and reusable in that they can be iteratively and collaboratively improved on.

This article adapts the FAIR principles for theory; reflects on current FAIR practices in relation to psychological theory; and discusses FAIR theories’ potential impact in terms of reducing research waste, enabling metaresearch on theories’ structure and development, and incorporating theory into reproducible research workflows—from hypothesis generation to simulation studies.

We present a conceptual workflow for FAIRifying theory that builds on existing open science principles and infrastructures. More detailed tutorials, worked examples, and convenience functions to automate this workflow are available in the theorytools R package.

FAIR theory constitutes a structured protocol for archiving, communicating about, and iteratively improving theory, addressing a critical gap in open scholarly practices and potentially increasing the efficiency of cumulative knowledge acquisition in psychology and beyond.

URL : To Be FAIR: Theory Specification Needs an Update

DOI : https://doi.org/10.1177/17456916251401850

Catégories
EN

The Economics of Open Science and Ukraine’s Prospective Place in It

Author : Ganna Kharlamova

This article presents the evaluation of the factors influencing the adoption of Open Access (OA) within the Open Science (OS) paradigm, utilizing statistical dynamics of OA publications across EU countries from 2000 to 2022.

The study employs econometric modeling to test a set of hypotheses regarding the percentage of articles in OA, including: the proportion of freely accessible research outputs; the regulatory impact of OA declarations; state-driven OA publication; overall scientific development fostering collaboration; OA rates among top universities; young researchers engagement; and internet penetration as a facilitator of OA dissemination.

The analysis reveals the growth trajectory in dynamics of OA. The EU model forecasts an increase in the percentage of OA articles from approximately 50% in 2022 to 70% by 2030, contingent on sustained investment and policy alignment.

These hypotheses form a model initially developed for EU countries, providing a framework to assess Ukraine’s academic publishing landscape and its evolving position within OS. A SWOT and PESTLE analysis is conducted to evaluate the financing of Ukrainian science, identifying the broader implications of OA implementation.

Prospects for Ukraine’s integration into the OS paradigm are outlined, emphasizing the necessity of overcoming unique challenges such as war-related disruptions.

URL : The Economics of Open Science and Ukraine’s Prospective Place in It

DOI : https://doi.org/10.15388/Ekon.2025.104.4.1