Dataset de Zenodo · Borghi, John
Data for: Open COVID Trials (OCT) Project
- Licencia
- CC0 1.0uso comercial permitidoTexto de la licencia
- Esta licencia permite el uso comercial. Normalmente hay que citar al autor; consulta la licencia para ver las condiciones exactas.
- Formatos
- CSV, TXT
- Tamaño
- 4,2 MB
- Actualizado
- 29 ago 2022
Descripción
The COVID-19 pandemic has brought substantial attention to the systems used to communicate biomedical research. In particular, the need to rapidly and credibly communicate research findings has led many stakeholders to encourage researchers to adopt open science practices such as posting preprints and sharing data. To examine the degree to which this has led to the actual adoption of such practices, we examined the "openness" of a sample of 539 published papers describing the results of randomized controlled trials testing interventions to prevent or treat COVID-19. The majority (56%) of the papers in this sample were free to read at the time of our investigation and 23.56% were preceded by preprints. However, there is no guarantee that the papers without an open license will be available without a subscription in the future, and only 49.61% of the preprints we identified were linked to the subsequent peer-reviewed version. Of the 331 papers in our sample with statements identifying if (and how) related datasets were available, only a paucity indicated that data was available in a repository that facilitates rapid verification and reuse. Our results demonstrate that, while…
Descripción de Zenodo, abreviada.
Archivos (3)
- CSVoct-dataset_for-manuscript_2022-08-03.csv217 kB
- TXTREADME.txt384 B
- CSVoct-data-dictionary_for-manuscript_2022-08-03.csv4 MB
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