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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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Tabular Data - 6.7 KB - 2 Variables, 69 Observations - UNF:6:UR9kPXBeb4Bo65L0CbGbfg==
Tabular Data - 6.6 KB - 1 Variables, 69 Observations - UNF:6:4zochRTlwwLAgaQIv0bkrw==
Tabular Data - 7.0 KB - 5 Variables, 66 Observations - UNF:6:iekeTXG9OjWyYKLijvOYeg==
Comma Separated Values - 3.4 KB - MD5: 1154b3c35580f7eaa41cb48ddd3e6b4d
Detailed overview of trade balance China-EU per maritime equipment category.
Tabular Data - 4.5 KB - 10 Variables, 33 Observations - UNF:6:69U3DY/exrmi+jTWVg7nJw==
Adobe PDF - 96.1 KB - MD5: a76118f3637af21e33cb8208eba4b1d2
Detailed figures of trade balance China-EU per maritime equipment category.
Comma Separated Values - 8.1 KB - MD5: 2e2b1888cc480c9632ba0736e987898d
Detailed overview of HS codes mentioned in paper.
Tabular Data - 8.3 KB - 2 Variables, 82 Observations - UNF:6:i3baQqxebMQKIlKcVADAMg==
Mar 7, 2024
Decuypere, Anouk; Anne Van de Vijver, 2024, "Fairness perceptions of AI use by tax administration", https://doi.org/10.34934/DVN/1NHGXH, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:bX3joxuUwAPJ8WTD68gU6g== [fileUNF]
We tested whether the proportion of AI versus auditors in fraud selection matters for fairness, and whether there is an impact of transparency (explanations). We found that a higher proportion of AI was more procedurally fair, mostly through bias suppression and consistency, and...
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