Dataset from Zenodo · Borghi, John
Data for: Open COVID Trials (OCT) Project
- License
- CC0 1.0commercial use allowedLicense text
- This license allows commercial use. Usually you must credit the author; read the license for the exact terms.
- Formats
- CSV, TXT
- Size
- 4.2 MB
- Updated
- Aug 29, 2022
Description
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…
Description from Zenodo, shortened.
Files (3)
- CSVoct-dataset_for-manuscript_2022-08-03.csv217 kB
- TXTREADME.txt384 byte
- CSVoct-data-dictionary_for-manuscript_2022-08-03.csv4 MB
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