DIGIPART - Digitalisation in Parties dataset

Despite numerous studies examining the influence of digital technologies on political parties, a comprehensive comparative analysis of parties' responses to digitalisation remains scarce. The DIGIPART dataset aims to address this gap by mapping parties' digitalisation. The Digitalisation in Parties (DIGIPART) dataset (v.1) comprises information on party digitalisation features from 72 parties across five major European countries: Germany, Italy, France, Spain, and the United Kingdom. Compared to the initial version (v.0), which included data from 62 parties, version 1.1 of the DIGIPART dataset has been expanded to include new data on additional regional parties within these countries (n=76). The dataset, stored in Excel format (xlsx) along with a codebook, captures information and evidence from various parties, collected and coded between July 2021 and September 2022. DIGIPART includes fundamental data for identifying units of analysis, such as COUNTRY_ID and COUNTRY codes following Eurostat conventions, PARTY_ID codes, party acronyms, party names in English, year of foundation, ideology based on the Chapel Hill Experts Survey, election year, percentage of votes, and share of MPs in the national parliament's Lower Chamber. Vote and MP data are sourced from the Parlgov database or press sources for parties not covered in Parlgov. Structured according to Fitzpatrick’s Five Pillar model, with adaptations for alternative digital democracy conceptions, the dataset provides insights into six main dimensions of party functions and activities: elections (EL), deliberation (DEL), participation (PART), resources (SOURCE), and communication (COM). Each dimension features several dichotomously coded indicators: 0 for no evidence of digital activity, 1 for evidence, and a dot (.) for controversial evidence or when none is found. Overall, the dataset offers specific information on 23 indicators, making it the most comprehensive account of party digitalisation to date. Version 1.2 (submitted on 12/10/2024) includes an updated version of the codebook.尽管已有诸多研究探讨了数字技术对政党的影响，但针对政党数字化响应的全面比较分析仍较为匮乏。DIGIPART数据集（DIGIPART）旨在填补这一研究空白，通过系统绘制政党数字化进程图谱来实现研究目标。 政党数字化（Digitalisation in Parties, DIGIPART）数据集（v.1）涵盖了欧洲5个主要国家（德国、意大利、法国、西班牙及英国）共计72个政党的数字化特征信息。相较于初始版本（v.0）收录的62个政党数据，DIGIPART数据集1.1版已完成扩展，新增了上述国家境内的区域政党相关数据，总样本量达76（n=76）。 本数据集以Excel格式（xlsx）及配套代码手册存储，收录了2021年7月至2022年9月期间收集并编码的各政党相关信息与佐证材料。 DIGIPART数据集包含用于识别分析单元的基础数据，例如遵循欧盟统计局（Eurostat）规范的COUNTRY_ID与COUNTRY代码、PARTY_ID代码、政党缩写、英文政党名称、成立年份、基于蔡普尔山专家调查（Chapel Hill Experts Survey）的意识形态定位、选举年份、得票率及国民议会下议院议员占比。其中，得票率与议员占比数据来源于Parlgov数据库（Parlgov）；对于Parlgov未收录的政党，则采用媒体报道来源的数据。 本数据集基于菲茨帕特里克五支柱模型（Fitzpatrick’s Five Pillar model）构建，并针对替代性数字民主理念进行了适配调整，可展现政党职能与活动的六大核心维度：选举（EL）、审议（DEL）、参与（PART）、资源（SOURCE）及沟通（COM）。每个维度下设若干二分编码指标：0代表未发现数字化活动相关证据，1代表发现相关证据，圆点（.）代表存在争议性证据或未找到相关证据。本数据集共计涵盖23项具体指标，是目前为止关于政党数字化最全面的研究资料。 1.2版数据集（提交于2024年10月12日）包含更新后的代码手册。