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Find information about social science research data, publications on research data as well as open access publications.
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The GESIS Library is a special library for Empirical Social Research and Applied Computer Science. It is available to external users as a reference library in Cologne and Mannheim.
The cooperation with the Research Data Center Education at the DIPF enables us to show you also hits on measurement instruments in the field of educational research. The measurement instruments documented there can be used free of charge for non-commercial purposes.
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GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2862
Abstract: The research project, SPARTA (Social Media Analysis for Everyone), funded by dtec.bw (which is funded by the European Union – NextGenerationEU), monitors the 2025 German ... more
Abstract: The research project, SPARTA (Social Media Analysis for Everyone), funded by dtec.bw (which is funded by the European Union – NextGenerationEU), monitors the 2025 German ... more
Availability: Free access (without registration)
License: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Political Science [=] Mass Communication [=] Interpersonal Communication [=] Science of Communication]
Topics: election campaign, social media, twitter, political communication, mass communication, interpersonal communication, election to the Bundestag, nomination of candidates, electoral district, parliamentary election
Date(s) of Data Collection: 2024-11; 2025-02
Geographic coverage: [Germany / DE]
Universe: All candidates in the 2025 German Federal Election
Sampling Procedure: Total Universe / Complete enumeration
Primärforschende, Institution: Steup, Johannes Maximilian; Universität der Bundeswehr München, Kielbassa, Pauline; Universität der Bundeswehr München, Neumeier, Andreas; Universität der Bundeswehr München, Riedl, Jasmin; Universität der Bundeswehr München
Publication year: 2025
DOI: 10.7802/2862
Study number: SDN-10.7802-2862
Project funder: dtec.bw - Zentrum für Digitalisierungs- und Technologieforschung der Bundeswehr. dtec.bw wird durch die Europäische Union - NextGenerationEU gefördert.
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2862
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2550
Abstract: This dataset provides data on different dimensions of personalization of politics in Western Europe from 1985 until 2016 thanks to data collected via an expert survey. Da ... more
Abstract: This dataset provides data on different dimensions of personalization of politics in Western Europe from 1985 until 2016 thanks to data collected via an expert survey. Da ... more
Availability: Free access (without registration)
Subject area: [Political Science]
Topics: Political party, Leadership, Election, parliamentary election, party, party politics, political leadership, autonomy, political power, nomination of candidates
Date(s) of Data Collection: 2017; 2017
Geographic coverage: [Portugal / PT [=] Austria / AT [=] Belgium / BE [=] Denmark / DK [=] Finland / FI [=] France / FR [=] Germany / DE [=] Greece / GR [=] Iceland / IS [=] Ireland / IE [=] Italy / IT [=] Netherlands / NL [=] Norway / NO [=] Spain / ES [=] Sweden / SE [=] Switzerland / CH [=] United Kingdom of Great Britain and Northern Ireland / GB]
Universe: General elections between 1985 and 2016 in the selected countries; selected political parties between 1985 and 2016 in the selected countries
Sampling Procedure: In the countries considered, we included political parties that satisfied two conditions: having obtained at least 5% of the votes in one general election between 1985 and 2016 and, to be included in a given general election, having obtained at least 1% of the votes in that general election
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Marino, Bruno; LUISS Guido Carli, Martocchia Diodati, Nicola, Verzichelli, Luca; Università degli Studi di Siena; CIRCaP
Publication year: 2023
DOI: 10.7802/2550
Study number: SDN-10.7802-2550
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2550
