捷克的政治候选人和捐款数据集
Lukáš Linek1, Michael Škvrňák2, Michal Šoltés3
1Institute of Sociology, Czech Academy of Sciences, Prague, Czech Republic. lukas.linek@soc.cas.cz.
Scientific data
|February 19, 2025
概括
本研究介绍了捷克政治候选人数据集 (CPCD) 和捷克政治捐赠数据集 (CPDD),为捷克共和国的政治学研究提供了全面的数据.
科学领域:
- 政治科学 政治科学是指政治学.
- 计算社会科学 计算社会科学
- 数据科学数据科学数据科学
背景情况:
- 综合数据集对于分析政治行为和选举动态至关重要.
- 现有的关于捷克政治候选人和捐款的数据是分散的,阻碍了深入研究.
- 需要一个统一的资源来研究捷克共和国的选举趋势和候选人资料.
研究的目的:
- 介绍和描述捷克政治候选人数据集 (CPCD).
- 介绍和描述捷克政治捐赠数据集 (CPDD).
- 为未来关于捷克政治,选举和竞选融资的研究提供基础.
主要方法:
- 自1993年以来,从市政,区域,国家和欧洲议会选举中收集候选人的数据.
- 开发算法,通过个人信息在多个选举中匹配候选人.
- 整合了12个主要政党 (2017-2023) 的官方记录中的政治捐款数据.
主要成果:
- 创建捷克政治候选人数据集 (CPCD),提供详细的候选人信息.
- 建立捷克政治捐款数据集 (CPDD),详细说明个人捐款.
- 这两种数据集都可供公众使用,用于研究目的.
结论:
- CPCD和CPDD代表了研究捷克政治格局的重要资源.
- 这些数据集促进了对候选人轨迹,政党战略和竞选资金的新分析.
- 预计这些数据集的可用性将刺激对捷克政治的进一步学术调查.
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