A dataset of the representatives elected in France during the fifth republic

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-04-07 DOI:10.1016/j.dib.2025.111542

Noémie Févrat , Vincent Labatut , Émilie Volpi , Guillaume Marrel

引用次数: 0

Abstract

The electoral system is a cornerstone of democracy, shaping the structure of political competition, representation, and accountability. In the case of France, it is difficult to access data describing elected representatives, though, as they are scattered across a number of sources, including public institutions, but also academic and individual efforts. This article presents a unified relational database that aims at tackling this issue by gathering information regarding representatives elected in France over the whole Fifth Republic (1958–present). This database constitutes an unprecedented resource for analyzing the evolution of political representation in France, exploring trends in party system dynamics, gender equality, and the professionalization of politics. By providing a longitudinal view of French elected representatives, the database facilitates research on the institutional stability of the Fifth Republic, offering insights into the factors of political change.

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第五共和国期间在法国选出的代表的数据集

选举制度是民主的基石，塑造了政治竞争、代表制和问责制的结构。然而，就法国而言，很难获得描述当选代表的数据，因为这些数据分散在许多来源，包括公共机构，也包括学术和个人努力。本文提供了一个统一的关系数据库，旨在通过收集有关整个第五共和国（1958年至今）在法国选出的代表的信息来解决这一问题。该数据库为分析法国政治代表的演变、探索政党制度动态、性别平等和政治专业化的趋势提供了前所未有的资源。通过提供法国民选代表的纵向视角，该数据库有助于研究第五共和国的制度稳定性，为政治变革的因素提供见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.