The tools presented here were established in several research and development projects at various academic institutions involved in survey research (see contributors below).
The project “Synergies for Europe’s Research Infrastructures in the Social Sciences” (SERISS), Work package 8 "A coding module for socio-economic survey questions", picked up work in mid 2015, running until 2019. It funds the bulk of the development, the results of which will successively be added to this site. This work package develops a cross-country harmonised, fast, high-quality and cost-effective coding module for the core variables in many socio-economic and health surveys. The module consists of survey questions and answers. For the answers it uses a large multi-lingual dictionary of occupations with tens of thousands of entries about job titles, with a few hundred industry names, many fields of education and training, and a set employment status categories. Additionally, the module includes country-specific, structured lists of educational qualifications, building on the ones developed in the CAMCES project (see below). For all these variables, the module provides up-to-date codes for standard statistical classifications.
The project “Computer-Assisted Measurement and Coding of Educational Qualifications in Surveys” (CAMCES) was funded by the German Leibniz Association from 2013 to 2017 via the Leibniz Competition. It was conducted at GESIS – Leibniz Institute for the Social Sciences, Department Survey Design and Methodology, and led by Dr. Silke Schneider. Project members were Roberto Briceno-Rosas, Jessica Herzing (now at FORS) and Verena Ortmanns. It contributed the initial educational qualifications measurement and coding tools, with the database covering mostly European countries.
Institute for Data Collection and Research (CentERdata), Netherlands
GESIS – Leibniz Institute for the Social Sciences, Germany (http://www.gesis.org)
Amsterdams Instituut voor Arbeids Studies (AIAS) at the University of Amsterdam, Netherlands
Munich Center for the Economics of Aging (MEA) at the Max-Planck-Institute for Social Law and Social Policy (MPISOC), Germany
German Socio-Economic Panel Study (SOEP), German Institute for Economic Research (DIW), Berlin
Kantar Public (Formerly TNS Infratest), Munich, Germany