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.

本研究以法国开放科学监测平台（French Open Science Monitor, FOSM）的数据集为依托，探究学术引用影响力与各类开放科学指标（Open Science Indicators, OSI）之间的相关性。该数据集涵盖2020年至2022年间法国作者撰写的约90万篇学术出版物。
本研究整合OpenAlex与Crossref的公开数据，对FOSM数据集中的576537篇文献的开放科学指标进行分析，这些指标涵盖预印本（pre-print）发布、数据共享与软件共享行为。分析结果表明，上述开放科学指标与论文引用量之间存在显著正相关关系。
基于本研究构建的最完整引用预测模型，我们发现预印本发布对论文引用量的平均正向贡献显著达19%，软件共享与数据共享的贡献分别为13.5%与14.3%，理论上三者的正向效应可累积叠加。
尽管本研究结果仅为观察性结论，且受限于本次分析的范围，但仍表明学术引用优势与开放科学指标之间存在稳定的相关性。本研究结果可为政策制定者、资助机构、科研人员、出版社、科研院所及其他关注开放科学实践学术影响的利益相关方提供参考价值。
本项目包含复现本研究结果所需的全部数据与代码。数据文件夹包含两类数据集：一是经额外变量扩充后的完整FOSM数据集（详见本研究技术报告），二是为控制实验设置、包含FOSM与PLOS开放科学指标交集的小型数据集。
此外，项目还包含复现技术报告中研究结果所需的全部R语言代码，代码附带详细注释以提升可读性。
本项目同时收录了相关技术报告。