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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
Links between contents are displayed directly in the hit list. For example, you can find matching publications to the research data found.
The results can be filtered quickly and conveniently according to the following categories:
- Research data
- Variables from questionnaires
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- Publications on research data and survey instruments
- Open-access Publications in the Social Sciences
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- General information and offers on the GESIS websites
Contact: suche@gesis.org
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.
The cooperation with the Open Test Archive at the Leibniz Institute of Psychology (ZPID) enables us to show you also hits on measurement instruments in the field of psychology and related disciplines. The measurement instruments documented there are protected by copyright and are made available free of charge ("Open Access") for use in research, teaching and practice under a Creative Commons license.
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2555
Other Title (type): A Twitter streaming dataset that captures the outbreak of war between Russia and Ukraine in 2022 (Subtitle)
Abstract: We publish a dataset of raw tweets collected via the Twitter Streaming API in the context of the onset of the war, which Russia started in Ukraine on February 24, 2022. I ... more
Abstract: We publish a dataset of raw tweets collected via the Twitter Streaming API in the context of the onset of the war, which Russia started in Ukraine on February 24, 2022. I ... more
Availability: Free access (without registration)
License: Data can only be used for non-commercial research
Subject area: [Science and Engineering, Applied Sciences]
Topics: Ukraine, Russia, war, war of aggression, twitter, discourse, invasion, opinion formation, public opinion, disinformation
Date(s) of Data Collection: 2022-02-17; 2022-03-03
Universe: All English Tweets between February 17 and March 3, 2022 containing at least one of the hashtags #ukraine, #russia, and #conflict.
Sampling Procedure: Probability Sample - Simple random Sample
Primärforschende, Institution: Pohl, Janina; Universität Münster, Markmann, Simon; Universität Münster, Assenmacher, Dennis; GESIS - Leibniz-Institut für Sozialwissenschaften, Grimme, Christian; Universität Münster
Publication year: 2023
DOI: 10.7802/2555
Study number: SDN-10.7802-2555
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2555
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2524
Abstract: These data come from several web surveys among the German population 18 years and older who live in Germany and were eligible to vote in the 2021 federal election. Respon ... more
Abstract: These data come from several web surveys among the German population 18 years and older who live in Germany and were eligible to vote in the 2021 federal election. Respon ... more
Availability: Free access (with registration)
Subject area: [Political Process, Elections, Political Sociology, Political Culture [=] Mass Communication]
Topics: media consumption, political identity, voting behavior, opinion formation, political attitude, data collection method, data documentation
Date(s) of Data Collection: 2021-08; 2021-12
Geographic coverage: Germany / DE
Universe: Wahlberechtigte deutsche Wohnbevölkerung ab 18 Jahren
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Bach, Ruben; Universität Mannheim, Keusch, Florian; Universität Mannheim, Areal, João; Universität Mannheim, Pankowska, Paulina; Universiteit Utrecht, Cernat, Alexandru; University of Manchester
Publication year: 2023
DOI: 10.7802/2524
Study number: SDN-10.7802-2524
Project funder: Baden-Württemberg Stiftung
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2524
Version history:
| Version number | Changes in this version |
|---|---|
| 2.0.0 (aktuelle Version) | 2023-06-21 Variables collected in Wave 4 are added to the dataset. They capture respondents' motivation and concerns when being asked to donate their data. Textual answers (not included) were hand-coded into several dimensions. Descriptions of codes are provided as additional documentation material. https://doi.org/10.7802/2585 |
| 1.0.0 | 2023-03-03 https://doi.org/10.7802/2524 |
GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2585
Abstract: These data come from several web surveys among the German population 18 years and older who live in Germany and were eligible to vote in the 2021 federal election. Respon ... more
Abstract: These data come from several web surveys among the German population 18 years and older who live in Germany and were eligible to vote in the 2021 federal election. Respon ... more
Availability: Free access (with registration)
Subject area: [Political Process, Elections, Political Sociology, Political Culture [=] Mass Communication]
Topics: media consumption, political identity, voting behavior, opinion formation, political attitude, data collection method, data documentation
Date(s) of Data Collection: 2021-08; 2021-12
Geographic coverage: Germany / DE
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Bach, Ruben; Universität Mannheim, Keusch, Florian; Universität Mannheim, Areal, João; Universität Mannheim, Pankowska, Paulina; Universiteit Utrecht, Cernat, Alexandru; University of Manchester
Publication year: 2023
DOI: 10.7802/2585
Study number: SDN-10.7802-2585
Project funder: Baden-Württemberg Stiftung
Publisher: GESIS, Cologne
Current Version: 2.0.0, https://doi.org/10.7802/2585
Version history:
| Version number | Changes in this version |
|---|---|
| 2.0.0 (aktuelle Version) | 2023-06-21 Variables collected in Wave 4 are added to the dataset. They capture respondents' motivation and concerns when being asked to donate their data. Textual answers (not included) were hand-coded into several dimensions. Descriptions of codes are provided as additional documentation material. https://doi.org/10.7802/2585 |
| 1.0.0 | 2023-03-03 https://doi.org/10.7802/2524 |
