This paper presents a comprehensive dataset of doctoral theses defended in France between 1985 and 2025, constructed from multiple national academic metadata sources. The dataset is primarily based on data from the French national thesis platform and is enriched using additional authority and bibliographic databases to improve data quality, completeness, and interoperability. The data production pipeline includes the aggregation of heterogeneous sources, the correction of inconsistent identifiers, the enrichment of person and institution records, and the construction of derived variables describing academic careers, jury participation, institutional affiliations, and thesis characteristics. Additional identifiers from major academic repositories and library catalogues are integrated to facilitate linkage with external data sources and future dataset extensions. The resulting dataset provides structured information at the thesis, individual, and institutional levels, enabling both descriptive and relational analyses. This resource is particularly suited for research on doctoral education, academic networks, supervision practices, jury composition, institutional collaboration, and the evolution of research communities over time. The paper documents the data sources, processing pipeline, feature construction, data quality issues, and limitations, with the objective of facilitating reuse of the dataset by other researchers and supporting future extensions and longitudinal analyses of the academic system.

翻译：本文呈现了一个涵盖1985年至2025年间法国答辩博士论文的综合数据集，该数据集基于多个国家学术元数据源构建。其核心数据源自法国国家论文平台，并通过补充权威与书目数据库进行数据质量、完整性和互操作性提升。数据生产流程包括异构源聚合、不一致标识符校正、个人与机构记录丰富化，以及描述学术生涯、评审委员会参与、机构隶属关系和论文特征等衍生变量的构建。该数据集整合了来自主要学术知识库和图书馆目录的附加标识符，以促进与外部数据源的链接及未来数据扩展。最终生成的数据集提供了论文、个人和机构层面的结构化信息，支持描述性及关系性分析。该资源特别适用于博士教育、学术网络、指导实践、评审委员会构成、机构合作以及研究社群演变等研究。本文详细记录了数据源、处理流程、特征构建、数据质量问题与局限性，旨在促进其他研究者的数据复用，并为学术体系未来拓展及纵向分析提供支持。