Ethics in the evaluation of the quality of scientific research: An AIOM-TJ roundtable

Alessio Vittorio Adani, Paolo Crosetto (), Laura Galbiati, Elena Giglia, Aldo Scarpa and Francesco Perrone
Additional contact information
Alessio Vittorio Adani: Fondazione IRCCS Istituto Nazionale Tumori - National Cancer Institute [Milan]
Paolo Crosetto: GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes
Laura Galbiati: Fondazione AIRC per la ricerca sul cancro ETS, Milano
Elena Giglia: Universita di Torino
Aldo Scarpa: UNIVR - Università degli studi di Verona = University of Verona
Francesco Perrone: IRCCS Istituto Nazionale dei Tumori [Milano]

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Abstract: The current scientific ecosystem is characterized by a systemic crisis driven by the Publish or Perish culture and an exponential growth in publication volumes that outpaces the number of active researchers. Here, we highlight the limitations of traditional bibliometric indicators, such as the Impact Factor and H-index, which have become targets for manipulation and enable inflationary business models, including the proliferation of special issues. To address these distortions, we explore the transformative potential of Open Science and the adoption of FAIR data principles to move from a model based on blind trust to one rooted in verifiability. Furthermore, we examine innovative evaluation frameworks, such as the independent peer review model, and the integration of artificial intelligence through Technology Assisted Research Assessment (TARA), emphasizing that human judgment must remain central to ensuring research integrity. Ultimately, the transition from quantitative metrics to qualitative assessment is an ethical duty necessary to safeguard the credibility of oncological research and the quality of patient care.

Keywords: Peer review; Artificial intelligence; Oncology; Bibliometrics; Research integrity; Open science; Publication ethics (search for similar items in EconPapers)
Date: 2026-04-19
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Published in Tumori, 2026, ⟨10.1177/03008916261441119⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05653678

DOI: 10.1177/03008916261441119

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