Cargando…
Estimating social bias in data sharing behaviours: an open science experiment
Open data sharing is critical for scientific progress. Yet, many authors refrain from sharing scientific data, even when they have promised to do so. Through a preregistered, randomized audit experiment (N = 1,634), we tested possible ethnic, gender and status-related bias in scientists’ data-sharin...
Autores principales: | Acciai, Claudia, Schneider, Jesper W., Nielsen, Mathias W. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10120507/ https://www.ncbi.nlm.nih.gov/pubmed/37085512 http://dx.doi.org/10.1038/s41597-023-02129-8 |
Ejemplares similares
-
Institution and gender-related differences in publication speed before and during COVID-19
por: Acciai, Claudia, et al.
Publicado: (2022) -
Crowd control: Reducing individual estimation bias by sharing biased social information
por: Jayles, Bertrand, et al.
Publicado: (2021) -
Open video data sharing in developmental science and clinical practice
por: Marschik, Peter B., et al.
Publicado: (2023) -
Open science, data sharing and solidarity: who benefits?
por: Staunton, Ciara, et al.
Publicado: (2021) -
For Augustinian Archival Openness and Laggardly Sharing: Trustworthy Archiving and Sharing of Social Science Data From Identifiable Human Subjects
por: Zeitlyn, David
Publicado: (2021)