Étiquette : FAIR Principles

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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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The State of Scientific Poster Sharing and Reuse

Authors : Aydan Gasimova, Paapa Mensah-Kane, Gerard F. Blake, Sanjay Soundarajan, James ONeill, Bhavesh Patel

Scientific posters are one of the most common forms of scholarly communication and contain early-stage insights with potential to accelerate scientific discovery. We investigated where posters are shared, to what extent their sharing aligns with the FAIR principles, and how commonly they are reused.

We identified 86 platforms hosting posters, with many not assigning persistent identifiers. A total of 150k posters are shared as of 2024 on the 43 platforms where we were able to count, which is relatively low. Looking in more detail at posters shared on Zenodo and Figshare, we found that repositories are not always supporting structured metadata critical for poster discovery, like conference information, and that researchers are not providing such metadata even if they are supported.

We also observed that while there is some engagement with posters in terms of views and downloads, citing posters is not yet a common practice. Our recommendations are for the scientific community to encourage poster sharing and reuse and establish clear guidelines to make posters FAIR.

DOI : https://doi.org/10.48550/arXiv.2604.21150

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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

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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

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Cost for research — how cost data of research can be included in open metadata to be reused and evaluated

Authors : Julia Bartlewski, Christoph Broschinski, Gernot Deinzer, Cornelia Lang, Dirk Pieper, Bianca Schweighofer, Colin Sippl, Lisa-Marie Stein, Alexander Wagner, Silke Weisheit

The openCost project aims to enhance transparency in research funding by making publication-related costs publicly accessible, following FAIR principles. It introduces a metadata schema for cost data, allowing aggregation and analysis across institutions.

The project promotes open access and cost-efficient models, benefiting academic institutions, funders, and policymakers.

DOI : https://doi.org/10.48550/arXiv.2506.18517

 

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Making Reproducibility a Reality by 2035? Enabling Publisher Collaboration for Enhanced Data Policy Enforcement

Authors : Rebecca Taylor-Grant, Matthew Cannon, Allyson Lister, Susanna-Assunta Sansone

This paper describes a project which identified practical and pragmatic ways to increase the FAIRness and reproducibility of published research. Academic journals have supported Open Science through the implementation of data sharing policies for over ten years; some evidence has since emerged on the additional time, resources and expertise that policy enforcement requires as part of an editorial workflow.

A series of publisher workshops facilitated by the EC-funded TIER2 project aimed to identify the key checks needed to enforce strengthened journal data sharing policies and to understand which editorial roles have the capacity to undertake such enforcement. The intended outcome of this work was to establish the workflows and resourcing which can support academic journals to enforce stronger data sharing policies in future.

URL : Making Reproducibility a Reality by 2035? Enabling Publisher Collaboration for Enhanced Data Policy Enforcement

DOI : https://doi.org/10.2218/ijdc.v19i1.1064

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Notebook and Open science : toward more FAIR play

Authors : Mariannig Le Béchec, Célya Gruson Daniel, Clémence Lascombes, Émilien Schultz

Notebooks are now commonly used in digital research practices. Despite their increasing ubiquity, the characteristics, roles, and uses associated with notebooks have seldom been studied from a social science perspective.

In this article, we present an overview of the available empirical work on notebooks in order to describe existing practices, typologies crafted to grasp their diversity, and their limitations when used in data analysis workflows.

Following this review, which highlights a focus of studies on interactive computational notebooks specifically within data science rather than research practices in academic contexts, we discuss the role of notebooks as a vector and lever for the FAIR (Findable, Accessible, Interoperable, Reusable) principles associated with open science.

URL : Notebook and Open science : toward more FAIR play

DOI : https://doi.org/10.46298/jdmdh.13428