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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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Codebooktssq24_4_SUF_EN_v1.0.pdf
Codebooktssq24_4_SUF_EN_v1.0.pdf
Sep 18, 2026 - Public support for maximum income (tssq24_4)
Adobe PDF - 176.3 KB - MD5: 6624f1754f81b16695b30642606a3379
tssq24_4 codebook in English v 1.0 pdf format
Codebooktssq24_4_SUF_FR_v1.0.html
Sep 18, 2026 - Public support for maximum income (tssq24_4)
HTML - 42.9 KB - MD5: 2e5099f520ffd2aef1addc0a432ed1df
tssq24_4 codebook in French v 1.0 html format
Codebooktssq24_4_SUF_FR_v1.0.pdf
Codebooktssq24_4_SUF_FR_v1.0.pdf
Sep 18, 2026 - Public support for maximum income (tssq24_4)
Adobe PDF - 181.0 KB - MD5: cb4a3201d1bc1c1e6ae34ed2f80f04d8
tssq24_4 codebook in French v 1.0 pdf format
Codebooktssq24_4_SUF_NL_v1.0.html
Sep 18, 2026 - Public support for maximum income (tssq24_4)
HTML - 41.6 KB - MD5: 950822b3d5b170c366a2e29f438734c2
tssq24_4 codebook in Dutch v 1.0 html format
Codebooktssq24_4_SUF_NL_v1.0.pdf
Codebooktssq24_4_SUF_NL_v1.0.pdf
Sep 18, 2026 - Public support for maximum income (tssq24_4)
Adobe PDF - 177.3 KB - MD5: e91b747a1d968bf5c1ff7c3e0ab4b470
tssq24_4 codebook in Dutch v 1.0 pdf format
tssq24_4_SUF_v1.0_CSV.tab
Sep 18, 2026 - Public support for maximum income (tssq24_4)
Tabular Data - 455.3 KB - 23 Variables, 1269 Observations - UNF:6:bbLCWvM6OT+XczChTeQY0Q==
tssq24_4 dataset v 1.0 csv format
tssq24_4_SUF_v1.0_SPSS.tab
Sep 18, 2026 - Public support for maximum income (tssq24_4)
Tabular Data - 109.0 KB - 23 Variables, 1269 Observations - UNF:6:8dXGytvCtEpluBcqCVuNZg==
tssq24_4 dataset v 1.0 SPSS format
tssq24_4_SUF_v1.0_STATA.tab
Sep 18, 2026 - Public support for maximum income (tssq24_4)
Tabular Data - 116.6 KB - 23 Variables, 1269 Observations - UNF:6:8dXGytvCtEpluBcqCVuNZg==
tssq24_4 dataset v 1.0 STATA format
tssq24_4_UserGuide_v1_0.pdf
tssq24_4_UserGuide_v1_0.pdf
Sep 18, 2026 - Public support for maximum income (tssq24_4)
Adobe PDF - 369.0 KB - MD5: 3e376e9081a222a25bf6a24f96b088c3
tssq24_4 user guide v 1.0
EGYPTELITE CULTURE SCIENCE.csv
Sep 18, 2026 - EgyptElite - Relational data on (foreign) elites in Egypt, 1867-1914
Comma Separated Values - 20.5 MB - MD5: 369b62e83a56672c0e3dd923c6145996
Sub-set ‘Culture-Science’ focusses on actors affiliated to the learned societies as well as other cultural and scientific organisations. It is based on data retrieved from the yearbooks as well as these organisation’s respective journals and livres d’or. Cut-off date is 1926, the...
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