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Welcome to SODHA, the Belgian federal data archive for social sciences and the digital humanities!

Here you can find and deposit social science and digital humanities data in reusable form. Published datasets receive a DOI, making them citable like other types of publications. SODHA promotes open data by enabling reuse of research data and by safely preserving datasets in the long term.

SODHA is the Belgian service provider in the Consortium of European Social Science Data Archives (CESSDA) and is hosted by the State Archives of Belgium. SODHA was built with the help of DEMO (UCLouvain) and Interface Demography (VUB).

You can consult the SODHA Guide here, and you can read our policies here.

Want to learn more about SODHA? Consult our brochure or our presentation on the State Archives' website.

If you have any question, you can contact us at sodha@arch.be.
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11 to 20 of 2,737 Results
Tabular Data - 6.4 MB - 7 Variables, 4665 Observations - UNF:6:0OQxqyCsirkXlwENiEcEcQ==
Feb 27, 2025
Vittori, Davide; Pilet, Jean-Benoit; Rojon, Sebastien; Paulis, Emilien; Theuwis, Marie-Isabel, 2025, "Italian Citizens’ Preference for Technocratic Ministers", https://doi.org/10.34934/DVN/CZWD06, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:0oVU9x/Yro2X6EomTy2rsg== [fileUNF]
The datasets consist of two cross-sectional waves designed to measure Italian citizens' preferences for technocratic ministers. Each wave includes approximately 5,000 respondents and features an experimental component. In Wave 1, the experiment assesses preferences for policies i...
Tabular Data - 4.9 MB - 68 Variables, 5003 Observations - UNF:6:90ay5dHhgeSilM4GAlBWuQ==
Dataset - Wave 1
MS Excel Spreadsheet - 31.6 KB - MD5: 999885fc5441e14f0e5b2c0768ad30e0
Questionnaire and codebook of the dataset - Wave 1
Tabular Data - 9.9 MB - 92 Variables, 5006 Observations - UNF:6:b5gfqIRTORrGx7ckCSp9Qg==
Dataset - Wave 2
MS Excel Spreadsheet - 42.2 KB - MD5: 82cb8ef418261690d7e7ce3dafbdf78b
Questionnaire and codebook of the dataset - Wave 2
Feb 26, 2025
Walgrave, Stefaan; Rihoux, Benoît; Goovaerts, Ine; Jacobs, Laura; Lefevere, Jonas; Matthieu, Joke; Mongrain, Philippe; Tsoulou-Malakoudi, Artemis; Van Campenhout, Matthias; Uyttendaele, Laura; Nuytemans, Michiel; Henkens, Eva, 2025, "Stemtest 2024 / Test Electoral 2024", https://doi.org/10.34934/DVN/SOCUOL, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:nFYI1+gL7Cj3fsMD0kiLzg== [fileUNF]
This deposit accompanies the datasets related to the development of Stemtest 2024 / Test Electoral 2024, a voting advice application developed in the context of the 2024 general elections of June 2024. Stemtest/Test Electoral was commissioned by VRT, RTBF, Mediahuis and IPM. In t...
MS Word - 67.3 KB - MD5: eef11cafda2103fc145fb4eaa9b45d26
Stata Syntax - 21.5 KB - MD5: 3466d549fca0717bd671515d92c3002c
Tabular Data - 15.9 KB - 10 Variables, 74 Observations - UNF:6:cenTu1YxsgkqcxtfGKCuSA==
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