DIGIPART - A pilot dataset exploring the digitalisation of political parties
The aim of this paper is to introduce the key features of the DIGIPART - Digitalisation in Parties dataset. The DIGIPART dataset (v.1.1) provides information on the digitalisation of several key dimensions of 76 statewide and non-statewide political parties through five major European countries (France, Italy, Germany, United Kingdom, and Spain) right after the COVID-19 pandemic (2021-22). The dataset is strongly informed by previous theorisations of party digitalisation (Fitzpatrick 2021 [1], García Lupato and Meloni 2023 [2]), which divide party digitalisation into different pillars: elections, deliberation, participation, resources, communication, and organisation. The information gathered on both party features and dimensions of party digitalisation allows to explore potential variables influencing and being influenced by such phenomenon. The information was gathered and coded between 2021 and 2022 by exploring parties' websites and manifestos, as well as press releases and secondary sources. The DIGIPART dataset offers the possibility to quantify different dimensions of party digitalisation, many of them directly related to democratic innovations. The dataset was conceived as a pilot to then scale up to other countries and regions allowing further comparative research.
Authors
- Giulia Sandri (ORCID: https://orcid.org/0000-0003-0559-5077)
- Óscar Barberà (ORCID: https://orcid.org/0000-0003-2424-2605)
- Marco Meloni (ORCID: https://orcid.org/0000-0002-3180-009X)
- Fabio García Lupato (ORCID: https://orcid.org/0000-0003-1386-8733)
- Adrià Mompó (ORCID: https://orcid.org/0009-0001-1727-058X)
- Felix von Nostitz
Institutions
- University of Rome Tor Vergata (IT)
- Universidad Complutense de Madrid (ES)
- Universitat Oberta de Catalunya (ES)
- Universitat de València (ES)
- Université Catholique de Lille (FR)
- Institut d'Etudes Politiques de Paris (FR)
- Groupe Hospitalier de l'Institut Catholique de Lille (FR)
- University of Southampton (GB)
Publication Details
- Journal
- Data in Brief
- Published
- 2025-10-25
- DOI
- https://doi.org/10.1016/j.dib.2025.112173
- Primary Topic
- Social Media and Politics
- Type
- article
- Field-Weighted Citation Impact
- 0.00