Data from: International authorship and collaboration across bioRxiv preprints
<p>Data and supplementary tables for <a href="https://doi.org/10.7554/eLife.58496">"International authorship and collaboration across bioRxiv preprints,"</a> a paper first posted to <a href="https://doi.org/10.1101/2020.04.25.060756">bioRxiv</a> and now published in <em>eLife</em>.</p> <ul> <li><strong>"reproduce.md"</strong> includes all R code used to generate figures and perform analyses described in the paper.</li> <li><strong>"biorxiv_countries.postgres.backup"</strong> is a database snapshot that can be loaded into a PostgreSQL database to access all data collected and used in the study.</li> <li><strong>"schema.pdf"</strong> describes each field in each table of the database.</li> <li><strong>"manual_edits.sql"</strong> describes all corrections made to the automated inference of the country-level affiliations inferred for all authors.</li> <li><strong>"affiliation_corrections.csv"</strong> lists every unique affiliation string that was re-categorized after institutional corrections. The consequences of the corrections described in "manual_edits.sql."</li> <li><strong>"institution_corrections_summary.csv"</strong> summarizes "affiliation_corrections.csv" by listing each "before" and "after" correction one time. It is important to note that each before/after pair does not necessarily indicate that <em>every</em> affiliation string from the "before" institution was reassigned to the "after" institution, just that at least one affiliation string was switched from one to the other. <ul> <li>Note that the final two "corrections" files describe steps taken to correct the institution-level associations between authors and countries. The final set of corrections assigned authors to countries <strong>using heuristics that did not take institution-level accuracy into account</strong>.</li> </ul> </li> </ul> <p><strong>Version history:</strong></p> <ul> <li><strong>1.0.0: </strong>New files uploaded reflecting substantial corrections to the data, mostly linked to classification of authors and preprints previously without a country classification. (26 Jun 2020)</li> <li><strong>0.2.1:</strong> Added "schema.pdf" file, previously only in the manuscript.</li> <li><strong>0.2.0:</strong> Added new files "affiliation_corrections.csv" and "institution_corrections_summary.csv"</li> <li><strong>0.1.1: </strong>Database snapshot added.</li> <li><strong>0.1.0: </strong>First version with supplementary tables added.</li> </ul>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 8