A study on the citation impact of Open Science Indicators in the French Open Science Monitor

This study investigates the correlation of citation impact with various open science indicators (OSI) within the French Open Science Monitor (FOSM), a dataset comprising approximately 900,000 publications authored by French authors from 2020 to 2022. By integrating data from OpenAlex and Crossref, we analyze open science indicators such as the presence of a pre-print, data sharing, and software sharing in 576,537 publications in the FOSM dataset. Our analysis reveals a positive correlation between these open science indicators and citation counts. Considering our most complete citation prediction model, we find pre-prints contribute on average to a significant positive effect of 19% on citation counts, software sharing of 13.5%, and data sharing of 14.3%, which in theory are cumulative increases. While these results remain observational and are limited to the scope of the analysis, they suggest a consistent correlation between citation advantages and open science indicators. Our results may be valuable to policy makers, funding agencies, researchers, publishers, institutions, and other stakeholders who are interested in understanding the academic impacts, or effects, of open science practices.This project contains all the data and code necessary to reproduce our results. The data folder contains two datasets: the full FOSM dataset enriched with further variables as described in our technical report, and a smaller dataset containing the intersection of FOSM and PLOS OSI for control purposes. Next, it contains all the R code required to reproduce our results in the technical report. The code is heavily commented for clarity. The technical report is added to this project as well.