DIGIPART - A pilot dataset exploring the digitalisation of political parties
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.
Meloni, Marco
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Lupato, Fabio G.
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von Nostitz, Felix
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Sandri, Giulia
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Barberà, Oscar
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Mompó, Adrià
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Meloni, Marco
1c99ba03-fb1d-4e73-bab9-1ed7596f9795
Lupato, Fabio G.
bdd03427-910e-4d74-9bd7-9dc3080e25dc
von Nostitz, Felix
a6c88e70-eb85-4c5c-baad-6d0e51649b95
Sandri, Giulia
6f1cdd33-3715-497d-8c79-e536431e955a
Barberà, Oscar
af67e582-01fa-4b97-8258-ce233c8538ee
Mompó, Adrià
3147ea4c-ddbf-4cde-b9dd-76006bd1611e
Meloni, Marco, Lupato, Fabio G., von Nostitz, Felix, Sandri, Giulia, Barberà, Oscar and Mompó, Adrià
(2025)
DIGIPART - A pilot dataset exploring the digitalisation of political parties.
Data in Brief, [112173].
(doi:10.1016/j.dib.2025.112173).
Abstract
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.
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More information
Accepted/In Press date: 7 October 2025
e-pub ahead of print date: 24 October 2025
Identifiers
Local EPrints ID: 506262
URI: http://eprints.soton.ac.uk/id/eprint/506262
ISSN: 2352-3409
PURE UUID: be1fc9a7-427e-4ad9-a644-c6159fbc5e1e
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Date deposited: 31 Oct 2025 17:43
Last modified: 01 Nov 2025 03:02
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Contributors
Author:
Marco Meloni
Author:
Fabio G. Lupato
Author:
Felix von Nostitz
Author:
Giulia Sandri
Author:
Oscar Barberà
Author:
Adrià Mompó
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