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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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41 to 50 of 4,247 Results
readme.docx
Jul 3, 2026 - Systemic problems constraining Earth Block Masonry diffusion in Western Europe: an architect-centred Innovation System approach
MS Word - 15.5 KB - MD5: 37b797a278837bb3947078327a581927
Readme file
Thematic_Analysis_clean.xlsx
Jul 3, 2026 - Systemic problems constraining Earth Block Masonry diffusion in Western Europe: an architect-centred Innovation System approach
MS Excel Spreadsheet - 9.6 KB - MD5: 6152c73a9dbcf8d19c949b3f53326e7c
Semi-structured interview guide for the study of language policies and practices in Andorran primary schools
Jul 3, 2026
Jiménez-Salcedo, Juan; Hawkey, James, 2026, "Semi-structured interview guide for the study of language policies and practices in Andorran primary schools", https://doi.org/10.34934/DVN/JUOCR8, Social Sciences and Digital Humanities Archive – SODHA, V1
This dataset contains two language versions (Catalan and French) of a semi-structured interview guide designed for a qualitative study on language policies and multilingual practices in primary schools belonging to the Escola Andorrana network in the Principality of Andorra. The...
Guide_entretien_francais.docx
Jul 3, 2026 - Semi-structured interview guide for the study of language policies and practices in Andorran primary schools
MS Word - 162.9 KB - MD5: f7100f78d67c5f7762f3fd25f4323129
This file contains the French version of a semi-structured interview guide used in a qualitative study on language policies and multilingual practices in primary schools of the Escola Andorrana network in the Principality of Andorra. Functionally equivalent to the Catalan version...
Guio_entrevista_catala.docx
Jul 3, 2026 - Semi-structured interview guide for the study of language policies and practices in Andorran primary schools
MS Word - 162.3 KB - MD5: cf7a26963b6617b73e87ec767a893ce3
This file contains the Catalan version of a semi-structured interview guide developed for a qualitative study on language policies and multilingual practices in primary schools of the Escola Andorrana network in the Principality of Andorra. The instrument is intended for use with...
De Stemming / L'Enquête Nationale 2026
De Stemming / L'Enquête Nationale 2026
Jun 4, 2026
Lefevere, Jonas; Walgrave, Stefaan; Pilet, Jean-Benoit, 2026, "De Stemming / L'Enquête Nationale 2026", https://doi.org/10.34934/DVN/DEES19, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:/73Q6koIFwmnCpAw/TmoTQ== [fileUNF]
English De Stemming / L’Enquête Nationale 2026 (DSEN26) is an online survey conducted among a sample of N=5,354 adult (18 years and older) residents of Belgium: 1,083 residents of the Brussels Capital Region, 2,145 of the Flemish Region, and 2,126 of the Walloon Region. The surve...
20260522_DSEN26_analysis.do
Jun 4, 2026 - De Stemming / L'Enquête Nationale 2026
Stata Syntax - 242.8 KB - MD5: 0d28d5a643f1f0811461b187db5d1c92
Stata analysis file for report DSEN26
DSEN2026_Codebook.pdf
DSEN2026_Codebook.pdf
Jun 4, 2026 - De Stemming / L'Enquête Nationale 2026
Adobe PDF - 605.3 KB - MD5: ac2c8c94c9a3f3db36099d68ed6ff67b
Codebook and methodological note.
DSEN2026_final-1.tab
Jun 4, 2026 - De Stemming / L'Enquête Nationale 2026
Tabular Data - 20.4 MB - 201 Variables, 5354 Observations - UNF:6:MQHwdugygT18XhL38wXajQ==
CSV export of the dataset
DSEN2026_final_en.sav
Jun 4, 2026 - De Stemming / L'Enquête Nationale 2026
SPSS Binary - 22.9 MB - MD5: 9df1f6345a66c0de529e141fcf0d3c7e
SPSS export of the dataset (English labels)
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