Girls just wanna have funds: a new Transparent Reporting Scale for evaluating grant data reporting from funding agencies

Natasha Clarke, Abigail E. Licata, Soumaiya Imarraine, Thuy Dao, Ginevra Sperandio, Ana Luísa Pinho, Valentina Borghesani, Paola Mengotti, Antonietta Gabriella Liuzzi and Doris Pischedda
Additional contact information
Natasha Clarke: UdeM - Université de Montréal
Abigail E. Licata: UNIGE - Université de Genève = University of Geneva
Soumaiya Imarraine: CNRS - Centre National de la Recherche Scientifique, INSERM - Institut National de la Santé et de la Recherche Médicale, Sorbonne Universités (COMUE), IBPS - Institut de Biologie Paris Seine - INSERM - Institut National de la Santé et de la Recherche Médicale - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique
Thuy Dao: UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations] - The University of Queensland
Ginevra Sperandio: INSERM - Institut National de la Santé et de la Recherche Médicale, UVSQ - Université de Versailles Saint-Quentin-en-Yvelines, CAU - Christian-Albrechts-Universität zu Kiel = Christian-Albrechts University of Kiel = Université Christian-Albrechts de Kiel, Hôpital Ambroise Paré [AP-HP] - AP-HP - Assistance publique - Hôpitaux de Paris (AP-HP)
Ana Luísa Pinho: UWO - Western University [Ontario], UWA - The University of Western Australia
Valentina Borghesani: UNIGE - Université de Genève = University of Geneva
Paola Mengotti: Jülich Research Centre
Antonietta Gabriella Liuzzi: Allen Institute for Brain Science [Seattle, WA, USA]
Doris Pischedda: UNIPV - Università degli Studi di Pavia [Italia] = University of Pavia [Italy] = Université de Pavie [Italie]

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Abstract: We collated all available data into an Open Science Framework repository to enable data sharing and further analyses. The TRS can support funders in adopting transparent, standardized reporting practices in order to support evidence-based progress toward gender equity.

Keywords: Scale (ratio); Data sharing; Order (exchange); Open data; Best practice (search for similar items in EconPapers)
Date: 2026
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Published in Frontiers in Computational Neuroscience, 2026, 20, pp.1765249-1765249. ⟨10.3389/fncom.2026.1765249⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05574269

DOI: 10.3389/fncom.2026.1765249

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