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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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The FLANDMOT database: L2 Motivation in French and English among 1,300 Flemish Secondary-School Learners
The FLANDMOT database: L2 Motivation in French and English among 1,300 Flemish Secondary-School Learners
Aug 27, 2025
Thewissen, Jennifer; Anishchanka, Alena, 2025, "The FLANDMOT database: L2 Motivation in French and English among 1,300 Flemish Secondary-School Learners", https://doi.org/10.34934/DVN/Z3Q5HC, Social Sciences and Digital Humanities Archive – SODHA, V1
This database was collected in 2022-2023 in secondary schools across Flanders to gain access into learners' motivational profiles for L2 English and L2 French. The questionnaire items were partly created based on Zoltán Dörnyei's theoretical framework of motivation (integrative,...
FLANDMOT DATABASE_Jennifer Thewissen_SODHA.xlsx
Aug 27, 2025 - The FLANDMOT database: L2 Motivation in French and English among 1,300 Flemish Secondary-School Learners
MS Excel Spreadsheet - 1.4 MB - MD5: 96cc8513cbe41a46515becb86cf22e16
FLANDMOT questionnaire items.pdf
FLANDMOT questionnaire items.pdf
Aug 27, 2025 - The FLANDMOT database: L2 Motivation in French and English among 1,300 Flemish Secondary-School Learners
Adobe PDF - 424.6 KB - MD5: fde3d36d6632391cc50a6de882587bf3
Seed lists for BelgicaWeb research project related to the archiving of web and social media content
Aug 26, 2025
Geeraert, Friedel; Vandendyck, Christina, 2025, "Seed lists for BelgicaWeb research project related to the archiving of web and social media content", https://doi.org/10.34934/DVN/C0DGSS, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:V1hHFXDQD/rmLVuNusTOTg== [fileUNF]
These spreadsheets are part of the research data produced within the BelgicaWeb project. It is a BRAIN 2.0 project funded by BELSPO (2024-2026). BelgicaWeb aims to make Belgium’s born-digital heritage accessible and FAIR, i.e. Findable, Accessible, Interoperable and Reusable by d...
20250825_full_list_PROMISE.tab
Aug 26, 2025 - Seed lists for BelgicaWeb research project related to the archiving of web and social media content
Tabular Data - 123.3 KB - 1 Variables, 3137 Observations - UNF:6:aZGbFBi6llFhObvC7/O2CA==
20250826_full_list_BESOCIAL.tab
Aug 26, 2025 - Seed lists for BelgicaWeb research project related to the archiving of web and social media content
Tabular Data - 56.0 KB - 1 Variables, 1507 Observations - UNF:6:9BmPTzS+0mtyHBdIWLBRBQ==
Core Study Questionnaire 2024
Aug 4, 2025 - The Social Study
The Social Study, 2025, "Core Study Questionnaire 2024", https://doi.org/10.34934/DVN/BBSFND, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:x5jPEWPXwKgxvWHuAn1yKA== [fileUNF]
The Social Study administers a yearly core study questionnaire that captures essential socio-demographic, behavioral, and attitudinal information among all panel members. These data are made freely available to the scientific community, allowing researchers to save time and avoid...
TSS_launch_data-1.tab
Aug 4, 2025 - Core Study Questionnaire 2024
Tabular Data - 7.4 MB - 529 Variables, 5465 Observations - UNF:6:7v+ywgFHljTjhNKrkR4nVA==
Stata export of the dataset, with weights
TSS_launch_data_codebook.html
Aug 4, 2025 - Core Study Questionnaire 2024
HTML - 676.3 KB - MD5: f7eb3e181755eb0503ab51dc2a91b138
Codebook (html)
TSS_launch_data.tab
Aug 4, 2025 - Core Study Questionnaire 2024
Tabular Data - 7.1 MB - 529 Variables, 5465 Observations - UNF:6:cvUcyhG7Hakmn04pxrpF/g==
SPSS export of the dataset, with weights
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