Skip to main content
zenodoopen

Data from: International authorship and collaboration across bioRxiv preprints

<p>Data and supplementary tables for <a href="https://doi.org/10.7554/eLife.58496">&quot;International authorship and collaboration across&nbsp;bioRxiv preprints,&quot;</a> a paper&nbsp;first posted to <a href="https://doi.org/10.1101/2020.04.25.060756">bioRxiv</a>&nbsp;and now published in <em>eLife</em>.</p> <ul> <li><strong>&quot;reproduce.md&quot;</strong> includes all R code used to generate figures and perform analyses described in the paper.</li> <li><strong>&quot;biorxiv_countries.postgres.backup&quot;</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>&quot;schema.pdf&quot;</strong> describes each field in each table of the database.</li> <li><strong>&quot;manual_edits.sql&quot;</strong> describes all corrections made to the automated inference of the country-level affiliations inferred for all authors.</li> <li><strong>&quot;affiliation_corrections.csv&quot;</strong> lists every unique affiliation string that was re-categorized after institutional corrections. The consequences of the corrections described in &quot;manual_edits.sql.&quot;</li> <li><strong>&quot;institution_corrections_summary.csv&quot;</strong> summarizes&nbsp;&quot;affiliation_corrections.csv&quot; by listing each &quot;before&quot; and &quot;after&quot; correction one time. It is important to note that each before/after pair does not necessarily indicate that&nbsp;<em>every</em>&nbsp;affiliation string from the &quot;before&quot; institution was reassigned to the &quot;after&quot; institution, just that at least one affiliation string was switched from one to the other. <ul> <li>Note that the final two &quot;corrections&quot; files describe steps taken to correct the institution-level associations between&nbsp;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 &quot;schema.pdf&quot; file, previously only in the manuscript.</li> <li><strong>0.2.0:</strong> Added new files &quot;affiliation_corrections.csv&quot; and&nbsp;&quot;institution_corrections_summary.csv&quot;</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

Topics