This subrepository contains datasets extracted from the Belgian Archives for Social Sciences (BASS), the former Belgian data archive dedicated to social sciences, which was hosted at the Université catholique de Louvain (UCLouvain).

The Belgian Archives for Social Sciences were maintained from 1972 to 1998. They were eventually discontinued for lack of funding.

Now, thanks to the work of Jean-Paul Sanderson of the Center for Demographic Research (DEMO) several of the original datasets are open for access and reuse. The various Eurobarometers are of particular note for research in the Belgian context: by means of data extraction, each dataset features an additional data file that gives direct access to the Belgian data.
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Sep 18, 2020 - Eurobarometer N 41.0
Tabular Data - 1.6 MB - 540 Variables, 1393 Observations - UNF:6:rzc48QBUPYqlggyrK/9Erw==
Sep 18, 2020 - Eurobarometer N 41.0
MS Word - 12.9 MB - MD5: f3da82b31d9f9b467129e1c754c4c637
Sep 18, 2020 - Eurobarometer N 41.0
Tabular Data - 22.0 MB - 540 Variables, 19477 Observations - UNF:6:rXEj5W8Bshmf2GXICDTC4g==
Sep 18, 2020 - Eurobarometer N 41.0
Adobe PDF - 283.9 KB - MD5: 31bbaa315813135549ae3a7d54463dd0
Sep 18, 2020 - Eurobarometer N 41.0
Adobe PDF - 284.7 KB - MD5: 93b08e28591a8b1d2652840f03522a60
Sep 18, 2020 - Eurobarometer N 41.0
Adobe PDF - 1.4 MB - MD5: b95f078857ca6c68420f8ab6a87b81cd
Sep 18, 2020
Reif, Karlheinz; Melich, Anna, 2020, "Eurobarometer 39.1 Energy Policies, Biotechnology, and Genetic Engineering, May-June 1993", https://doi.org/10.34934/DVN/FAKNKH, Social Sciences and Digital Humanities Archive – SODHA, V1
The aim of this research is to monitor the short-term evolution of European public opinion and in particular of public interests with an emphasis on the problems of European integration. It takes into account the socio-demographic characteristics of the respondents (age, gender,...
Tabular Data - 15.4 MB - 541 Variables, 14045 Observations - UNF:6:drT99Ct8epBhd08PaszUsg==
Adobe PDF - 322.9 KB - MD5: bf5d25ce18491e23e6cc9baed950a381
Adobe PDF - 204.9 KB - MD5: d1c574e906f598a8d57e661aaf21dc56
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