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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 4,254 Results
CSQ2025_SUF_STATA_v1_0.tab
Jul 16, 2026 - Core Study Questionnaire 2025
Tabular Data - 5.5 MB - 338 Variables, 5427 Observations - UNF:6:8eVORaGD4Gnybz1Sp9NB2w==
CSQ25 dataset in stata format version 1.0
Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
Jul 13, 2026
Kuypers, Sarah, 2026, "Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976", https://doi.org/10.34934/DVN/9CLWKV, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:i28CiUFeGvawtMRN1fUW6g== [fileUNF]
The files covered here contain the replication data for the article: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976, by Sarah Kuypers (University of Antwerp), which is currently under...
Grouped data 1950.tab
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
Tabular Data - 14.4 KB - 42 Variables, 51 Observations - UNF:6:zOwnt56038SDUd47L3tKew==
Grouped data 1952.tab
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
Tabular Data - 6.5 KB - 34 Variables, 24 Observations - UNF:6:eTFjwsyKMm8w0+poXupRvg==
Grouped data 1953.tab
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
Tabular Data - 6.5 KB - 34 Variables, 24 Observations - UNF:6:0UxTWtOO7JA5pdDqRCJyLA==
Grouped data 1954.tab
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
Tabular Data - 9.0 KB - 52 Variables, 24 Observations - UNF:6:vyuhxjquHo/OfePyh3UuYw==
Grouped data 1957.xlsx
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
MS Excel Spreadsheet - 52.2 KB - MD5: a2fd772e3b3b56d7a60539b5136159b4
Grouped data 1958.xlsx
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
MS Excel Spreadsheet - 52.3 KB - MD5: 75ef0bf0cc194db1e27d4d191b23bc25
Grouped data 1959.xlsx
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
MS Excel Spreadsheet - 87.0 KB - MD5: 02d915cfd6e37e88b09f48fb829bbc24
Grouped data 1962.tab
Jul 13, 2026 - Replication Data for: From tables to microdata: A multivariate synthetic approach for studying economic inequality, with an application to the Netherlands 1950-1976
Tabular Data - 6.5 KB - 26 Variables, 33 Observations - UNF:6:KlFNWCGqk19MDd9UeZPDfQ==
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