Metrics
22,503 Downloads
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.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

141 to 150 of 2,733 Results
Dec 13, 2024 - State Archives of Belgium
Jannis, Suzanne; Fondu, David; Janssen, Lydia; Carnier, Marc; Vrancken, Valerie, 2020, "Belgian State Archives / State Archives of Leuven / Rijksarchief Leuven - Databank van personen ingeschreven in de matrikels van de Oude Universiteit Leuven, 1426-1797", https://doi.org/10.34934/DVN/PWI0KR, Social Sciences and Digital Humanities Archive – SODHA, V3, UNF:6:g9Az4qImGWiHk+kloyqNyA== [fileUNF]
This database contains information on every person who was enrolled in the matriculation registers of the Old University of Leuven (1425-1797). The data are based on the edition of the matriculation registers by Reusens, Wils and Schillings (1903-1980) and were checked against th...
Tabular Data - 22.7 MB - 16 Variables, 143307 Observations - UNF:6:/OyjBgtrwrov43Hx4sWo3Q==
Building upon version 2.0 of the Matrikel database, this updated version includes the addition of finding aid numbers from the finding aid of the Archives of the Old University of Louvain
Dec 5, 2024
Pilet, Jean-Benoit; Renwick, Alan, 2024, "Electoral System Changes in Europe", https://doi.org/10.34934/DVN/OTAEBW, Social Sciences and Digital Humanities Archive – SODHA, V1
Dataset of electoral systems for lower chamber of parliament in 31 European democracies (EU27, CH, NOR, UK, ISL) between 1945 and 2020
MS Word - 168.5 KB - MD5: 92f905645b38a51c3d4ee36c18c45b5e
MS Excel Spreadsheet - 649.5 KB - MD5: d78a605f1b70fe90eff1692780cad0b9
Nov 26, 2024
Niessen, Christoph, 2024, "The Democratic Innovations and Scale Database", https://doi.org/10.34934/DVN/W3SBXW, Social Sciences and Digital Humanities Archive – SODHA, V1, UNF:6:8LSOKMnZ9X2atF7M9ilzgw== [fileUNF]
The objective of the present database is to provide an exhaustive as possible list of direct and deliberative democratic innovations worldwide, of their core contextual and institutional features and, most importantly, of the population size of the political entity in which they...
Tabular Data - 268 B - 1 Variables, 11 Observations - UNF:6:8LSOKMnZ9X2atF7M9ilzgw==
Oct 18, 2024
Sinardet, Dave; De Winter, Lieven; Niessen, Christoph; Dodeigne, Jérémy; Reuchamps, Min, 2024, "Replication data for 'Measuring (sub-)national identities in survey research: Lessons from Belgium'", https://doi.org/10.34934/DVN/RUNJPN, Social Sciences and Digital Humanities Archive – SODHA, V1
Replication data for the analyses presented in the article 'Measuring (sub-)national identities in survey research: Lessons from Belgium', published in Public Opinion Quarterly (doi: forthcoming). The original data stem from the 'PartiRep II Longitudinal Electoral Survey' (doi:10...
R Syntax - 13.1 KB - MD5: 5fc4e59e726dfc3165102d06e55941ae
R code to replicate the analyses presented in the article.
Adobe PDF - 256.3 KB - MD5: 930443d2fc8f39bc960522f3933e94b5
Codebook for the replication dataset.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.