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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 2,990 Results
TSS_launch_data_SPSS.tab
Dec 19, 2025 - Core Study Questionnaire 2024
Tabular Data - 7.1 MB - 529 Variables, 5465 Observations - UNF:6:cvUcyhG7Hakmn04pxrpF/g==
version 1.0 - superseded
TSS_launch_data_STATA.tab
Dec 19, 2025 - Core Study Questionnaire 2024
Tabular Data - 7.4 MB - 529 Variables, 5465 Observations - UNF:6:7v+ywgFHljTjhNKrkR4nVA==
version 1.0 - superseded
Concordance list for Antwerp street names 1907
Dec 17, 2025
Dupont, Milan, 2025, "Concordance list for Antwerp street names 1907", https://doi.org/10.34934/DVN/O79KNR, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:i1HZNp/mkYq7Jh4cJ6Zlfw== [fileUNF]
This dataset is a concordance list of French and Dutch street names in use in the city of Antwerp in the year 1907. The administrative (police as well as ‘kadaster’) district is given for every individual house based on the house numbers in the street. The dataset numbers 1500 st...
28112025_Readme_Antwerpstreets.txt
Dec 17, 2025 - Concordance list for Antwerp street names 1907
Plain Text - 2.6 KB - MD5: 90365292a2bd9bb695b7eb5c4a16a2f2
A Readme file
straatnamen_antwerpen_2.tab
Dec 17, 2025 - Concordance list for Antwerp street names 1907
Tabular Data - 87.5 KB - 7 Variables, 1500 Observations - UNF:6:OELwIQC1qdoU2QM9zmDf/w==
straatnamen_antwerpen_en_2.tab
Dec 17, 2025 - Concordance list for Antwerp street names 1907
Tabular Data - 87.4 KB - 7 Variables, 1500 Observations - UNF:6:MQDj1Oq+bsXti+ukblXwZg==
ProvEnhance - Collection Risk Assessment of Artworks Acquired by the Royal Museums of Fine Arts of Belgium, 1933-1960
ProvEnhance - Collection Risk Assessment of Artworks Acquired by the Royal Museums of Fine Arts of Belgium, 1933-1960
Dec 16, 2025 - Royal Museums of Fine Arts
Almstadt, Fenya; Leroux, Alexandre, 2025, "ProvEnhance - Collection Risk Assessment of Artworks Acquired by the Royal Museums of Fine Arts of Belgium, 1933-1960", https://doi.org/10.34934/DVN/AGUMFK, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:rKAfC3m7TDrMrg4UfFTsyg== [fileUNF]
As part of the research project “ProvEnhance. Enhancing the provenance data of the collections of the Royal Museums of Fine Arts of Belgium (RMFAB) since 1933 – Scientific study, digital valorization and narrative in context”, the collections of the Royal Museums of Fine Arts of...
provenhance_risk_assessment_codebook.md
Dec 16, 2025 - ProvEnhance - Collection Risk Assessment of Artworks Acquired by the Royal Museums of Fine Arts of Belgium, 1933-1960
Markdown Text - 8.2 KB - MD5: 3a580268f1d6ab79fc5df18b8694d1b0
Code book for `provenhance_risk_assessment_dataset.csv` and `provenhance_risk_assessment_dataset.xlsx`
provenhance_risk_assessment_context.pdf
provenhance_risk_assessment_context.pdf
Dec 16, 2025 - ProvEnhance - Collection Risk Assessment of Artworks Acquired by the Royal Museums of Fine Arts of Belgium, 1933-1960
Adobe PDF - 117.8 KB - MD5: 5c481257ba961a0c018e1fa56604c63e
Qualitative explanation of the dataset and it's production method
provenhance_risk_assessment_csv_format.tab
Dec 16, 2025 - ProvEnhance - Collection Risk Assessment of Artworks Acquired by the Royal Museums of Fine Arts of Belgium, 1933-1960
Tabular Data - 316.8 KB - 10 Variables, 591 Observations - UNF:6:wMV+2QmnIasa9fiyGTO2Og==
Data set for risk assessment of the RMFAB collection, CSV, comma separated
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