Dataset from: Leveraging open tools to realize the potential of self-archiving: A cohort study in clinical trials

This record includes the data associated with the study "Leveraging open tools to increase the potential of self-archiving to increase discoverability: A cohort study in clinical trials". The code used to generate these data is available under an open license in GitHub (https://github.com/delwen/oa-archiving-permissions). The deposit includes:

- `intovalue.csv`: download of the IntoValue dataset (IntoValue 1 and IntoValue 2), which is actively maintained in GitHub (https://github.com/maia-sh/intovalue-data). The data was downloaded on 17 December 2022. More information on the generation of this dataset can be found at: https://doi.org/10.5281/zenodo.5141343. This data corresponds to the start of the trial screening flow diagram in the manuscript (n = 3,788).

- `oa-unpaywall.csv`: dataset containing the results of the Unpaywall API query (query date: 17 December 2022). The dataset queried includes the following adaptations from `intovalue.csv`:

• As updated registry data had been downloaded on 1 November 2022, the IntoValue inclusion criteria were re-applied:
  • Interventional
  • Study completion date between 2009 and 2017
  • Complete based on study status
  • Conducted by a German university medical center.
• The dataset was further limited to:
  • Unique trials (trials from IntoValue 2 were preserved)
  • Unique publications with a DOI

- `oa-syp-permissions.csv`: dataset containing the results of the Shareyourpaper API query (query date: 17 December 2022). The dataset queried is the same as in `oa-unpaywall.csv`.

- `oa-merged-data.csv`: dataset containing the merged Unpaywall and Shareyourpaper data for all clinical trial results publications considered in this study. The dataset was further limited to journal articles that resolved in Unpaywall and were published between 2010 - 2020 (based on the publication date in Unpaywall). This is the main dataset underlying the analyses in the manuscript.