Archives des auteurs : Hans Dillaerts

FAIR GPT: A virtual consultant for research data management in ChatGPT

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Authors : Renat Shigapov, Irene Schumm

FAIR GPT is a first virtual consultant in ChatGPT designed to help researchers and organizations make their data and metadata compliant with the FAIR (Findable, Accessible, Interoperable, Reusable) principles. It provides guidance on metadata improvement, dataset organization, and repository selection.

To ensure accuracy, FAIR GPT uses external APIs to assess dataset FAIRness, retrieve controlled vocabularies, and recommend repositories, minimizing hallucination and improving precision. It also assists in creating documentation (data and software management plans, README files, and codebooks), and selecting proper licenses. This paper describes its features, applications, and limitations.

Arxiv : https://arxiv.org/abs/2410.07108

The impact of generative AI on the scholarly communications of early career researchers: An international, multi-disciplinary study

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Authors : David Nicholas, Marzena Swigon, David Clark, Abdullah Abrizah, Jorge Revez, Eti Herman, Blanca Rodríguez Bravo, Jie Xu, Anthony Watkinson

The Harbingers study of early career researchers (ECRs), their work life and scholarly communications, began by studying generational—Millennial—change (c.2016), then moved to pandemic change (c.2020) and is now investigating another potential agent of change: artificial intelligence (2024–). We report here on a substantial scoping pilot study that looks at the impact of AI on the scholarly communications of international ECRs and, extends this to the arts and humanities.

It aims to fill the knowledge gap concerning ECRs whose millennial mindset may render them especially open to change and, as the research workhorses they are, very much in the frontline. The data was collected via in-depth interviews in China, Malaysia, Poland, Portugal, Spain and (selectively) the United Kingdom/United States. The data show ECRs to be thinking, probing and, in some cases, experimenting with AI.

There was a general acceptance that AI will be responsible for the growth of low-quality scientific papers, which could lead to a decline in the quality of research. Scholarly integrity and ethics were a big concern with issues of authenticity, plagiarism, copyright and poor citation practices raised. The most widespread belief was AI would prove to be a transformative force and would exacerbate existing scholarly disparities and inequalities.

URL : The impact of generative AI on the scholarly communications of early career researchers: An international, multi-disciplinary study

DOI : https://doi.org/10.1002/leap.1628

Model proposal of libraries functions to implement open science: Analysis from Latin American librarianship

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Author : Juan Miguel Palma Peña

Libraries and open science are linked by common objectives, owing to libraries being actors that develop free access to information for many, and open science is an action that encourages free circulation of data and research outputs. Therefore both the actor and the action contribute to the satisfaction of information needs.

The aim of this research is to analyze the actions that governments, universities and libraries have carried out to implement open science in Latin America, based on the analysis of factors and library functions. The methodology of this research comprised a bibliographic review and quantitative methods.

For the exploratory analysis, the main sources for retrieval information were the official web portals of universities and library entities, the State of Open Data Policy Repository, the Registry of Research Data and the Dataverse Project. A general conclusion is that academic libraries are actors and laboratories with elements to support the implementation of open science.

DOI : https://doi.org/10.1177/03400352241276838

Economic valuation of open research data: A conceptual framework and methodological approach

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Authors : Zhifang Tu, Jiashu Shen

The economic significance of open research data is widely acknowledged, yet its quantification remains challenging. This paper presents an effective valuation instrument to help stakeholders understand and evaluate the economic benefits of open research data. By conducting a scoping review and prioritizing user engagement, this study introduces a comprehensive conceptual framework for the economic valuation of open research data. The valuation is based on economic value and willingness to pay, employing the Contingent Valuation Method (CVM).

It incorporates per-use models (view, download, and request) and periodic subscription models (monthly and yearly). An empirical survey was conducted at the National Basic Science Data Center (NBSDC) in China to verify this framework. Both pricing models, comprising five distinct tactics, was supported by surveyed users. Measuring economic value by views and by year was preferred, while willingness to pay by downloads and by year was considered more reasonable.

Overall, the most applicable valuation approach is on a yearly basis. Through this case study at NBSDC, specific pricing tactics were identified, and the total economic value and users’ willingness to pay were assessed. This study is arguably the first to establish a conceptual framework with pricing tactics from a user perspective. This methodological approach for economic valuation of open research data provides evidence and tools for future research, policy formulation, and resource allocation in the context of open science and innovation.

URL : Economic valuation of open research data: A conceptual framework and methodological approach

DOI : https://doi.org/10.1093/reseval/rvae033

The ethics of knowledge sharing: a feminist examination of intellectual property rights and open-source materials in gender transformative methodologies

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Authors : Leah Goldmann, Alice Welbourn, Diane Gillespie, Nastnet Ghebrebhran, Lufuno Barro, Sara Siebert, Hawa Kagoya, Lori Michau, Anjalee Kohli, Tina Musuya, Sonia Rebecca Kusiima

Debates on intellectual property rights and open source frequently stem from the business sector and higher education, where goals are typically oriented toward profit, academic status, credit, and/or reputation. What happens if we reconsider the ethics of intellectual property rights and open source when our driving motivation is advancing women’s health and rights? How does this prioritization complicate our assumptions of copyright and open access?

How can we embark on a journey that validates the complex realities of multiple stakeholders who have good intent, but do not always consider the unintended impacts and the broader power dynamics at play? This paper explores the tensions and nuances of sharing methodologies that aim to transform harmful gender norms in an ecosystem that does not always consider the complex challenges behind intellectual property and open-source material.

As a thought-collective dedicated to using a feminist approach to unpack and promote the principles of ethical, effective, and sustainable scale, we hope to underscore how the current research and debates on intellectual property rights and open-source material have good aims but may also fall short in encompassing the realities of gendered social norms change in and with communities around the world.

We conclude with key recommendations for donors, researchers, International Development Corporations, International Non-Governmental Organizations, and those interested in using or adapting dynamic, gender transformative materials created by others.

URL : The ethics of knowledge sharing: a feminist examination of intellectual property rights and open-source materials in gender transformative methodologies

DOI : https://doi.org/10.3389/frma.2024.1321302

“Giving them the best information I could with whatever I had at hand”. Physicians’ online health communication practices in a post-normal science context

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Authors : Lucía Céspedes, Alice Fleerackers,  Lauren A. Maggio

This study describes US-based physicians’ online public communication practices, particularly on the social media platform Twitter/X, during the COVID-19 pandemic. We draw on 28 semi-structured interviews to examine how they responded to the unique COVID-19 context with respect to each of the four features of post-normal science (PNS): facts uncertain, values in dispute, stakes high, and decisions urgent.

Our analysis reveals that the pandemic shifted what, why, and how physicians used the platform, and with whom they aimed to communicate. We discuss the implications of these changes in their online communication habits, discourses, and representations around social media as a reaction to the context of PNS brought about by the pandemic.

URL : “Giving them the best information I could with whatever I had at hand”. Physicians’ online health communication practices in a post-normal science context

DOI : https://doi.org/10.22323/2.23060204

How to make sense of generative AI as a science communication researcher? A conceptual framework in the context of critical engagement with scientific information

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Authors : Inbal Klein-Avraham, Esther Greussing, Monika Taddicken, Shakked Dabran-Zivan, Evelyn Jonas, Ayelet Baram-Tsabari

A guiding theory for a continuous and cohesive discussion regarding generative artificial intelligence (GenAI) in science communication is still unavailable. Here, we propose a framework for characterizing, evaluating, and comparing AI-based information technologies in the context of critical engagement with scientific information in online environments.

Hierarchically constructed, the framework observes technological properties, user experience, content presentation, and the context in which the technology is being used. Understandable and applicable for non-experts in AI systems, the framework affords a holistic yet practical assessment of various AI-based information technologies, providing both a reflection aid and a conceptual baseline for scholarly references.

URL : How to make sense of generative AI as a science communication researcher? A conceptual framework in the context of critical engagement with scientific information

DOI : https://doi.org/10.22323/2.23060205