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GESIS Search
Find information about social science research data, publications on research data as well as open access publications.
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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/10.7802/2860
Abstract: Tweetplomacy 23 is a semantically annotated corpus of tweets capturing digital communicative interaction between international political leaders, peer groups and citizens ... more
Abstract: Tweetplomacy 23 is a semantically annotated corpus of tweets capturing digital communicative interaction between international political leaders, peer groups and citizens ... more
Availability: Free access (without registration)
License: CC BY-NC 4.0: Attribution – NonCommercial (https://creativecommons.org/licenses/by-nc/4.0/deed.de)
Subject area: [Interdisciplinary and Applied Fields of the Social Sciences [=] Mass Communication [=] Information Science [=] Interpersonal Communication]
Topics: Ukraine, Russia, political communication, crisis communication, discourse, discourse analysis, international relations, international politics, epidemic, text communication, text processing, text analysis, social media, energy, vaccination, natural gas, energy supply, crude oil, climate, climate change, greenhouse effect, shortage, Federal Chancellor, career politician, international organization, OECD member country, political leadership, head of state, ministry of foreign affairs
Date(s) of Data Collection: 2018-01; 2023-05
Universe: 1% random sample Twitter/X archive
Notes: keywords- and user list-based extraction
Primärforschende, Institution: Petermann, Jan-Henrik; RedaktionsNetzwerk Deutschland (RND), Bensmann, Felix; GESIS - Leibniz-Institut für Sozialwissenschaften, Zhang, Yudong; GESIS - Leibniz-Institut für Sozialwissenschaften, Dimitrov, Dimitar; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2025
DOI: 10.7802/2860
Study number: SDN-10.7802-2860
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2860
Publications: Dimitrov, D., Baran, E., Fafalios, F., Yu, R., Zhu, X., Zloch, M., and Dietze, S., TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic, 29th ACM, International Conference on Information & Knowledge Management (CIKM2020), Resource Track, ACM 2020
Haensch, Anna-Carolina; Kreuter, Frauke; La Motte-Kerr, W.Li, Yao; Stewart, Kathleen; Weber, Wiebke; Zins, Stefan; Castro, Emma; Deen, Amanda; Ewald, Louisa M.; Gakidou, Emmanuela; Gillespie, Catherine W.; Huntely, Bethany M.; Tracy, Alison; Mokdad, Ali H.; Bellettiere, John; Farag, Tamer H.; Lee, Kristina; Palani, Sid
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2631
Abstract: The Pandemic Recovery Survey aims to study the impacts of COVID-19 across the world and to assist public health officials in focusing their efforts to recover from the pa ... more
Abstract: The Pandemic Recovery Survey aims to study the impacts of COVID-19 across the world and to assist public health officials in focusing their efforts to recover from the pa ... more
Availability: Free access (with registration)
License: The use of the data is permitted for public health stakeholders. If the data is used, it must be properly cited. Further Distribution of the data is prohibited. Please also note our terms of use when processing and managing the data: https://data.gesis.org/sharing/#!TermsOfUse.
Subject area: [Interdisciplinary and Applied Fields of the Social Sciences [=] Medicine, Social Medicine]
Topics: health, attitude, vaccination, household income, health care services, health consequences, economic behavior, epidemic
Date(s) of Data Collection: 2023-03; 2023-05
Geographic coverage: [Chile / CL [=] Japan / JP [=] Nigeria / NG [=] Peru / PE [=] Argentina / AR [=] Brazil / BR [=] Colombia / CO [=] Egypt / EG [=] Germany / DE [=] India / IN [=] Indonesia / ID [=] Italy / IT [=] Mexico / MX [=] Philippines / PH [=] Poland / PL [=] South Africa / ZA [=] Spain / ES [=] Turkey / TR [=] United Kingdom of Great Britain and Northern Ireland / GB [=] United States of America / US [=] Viet Nam / VN]
Universe: The sample for the Pandemic Recovery Survey was originally designed to provide serial estimates of key economic, educational, and health indicators among specific subpopulations in 21 countries globally. The sampling frame was the Facebook Active User Base (FAUB) ages 18+. Due to budget constraints and changing priorities, we only fielded one cross-sectional survey among the FAUB in 21 selected countries. Countries include: Argentina, Brazil, Chile, Colombia, Egypt, Germany, India, Indonesia, Italy, Japan, Mexico, Nigeria, Peru, Philippines, Poland, South Africa, Spain,Türkiye, United Kingdom, United States, Viet Nam. We had two main goals for sampling, 1) to have an equivalent number of responses from males and females, and 2) to ensure that the sample was representative of the FAUB in each country. Statistical weighting, was used to address coverage and non-response bias.
Sampling Procedure: Probability Sample – Stratified Sample
Temporal Research Design: cross-section
Mode of Data Collection: Self-administered questionnaire
Primärforschende, Institution: Haensch, Anna-Carolina; Ludwig Maximilian University of Munich, Kreuter, Frauke; Ludwig Maximilian University of Munich, La Motte-Kerr, W.; University of Maryland, Li, Yao; University of Maryland, Stewart, Kathleen; University of Maryland, Weber, Wiebke; Ludwig Maximilian University of Munich, Zins, Stefan; University of Maryland, Castro, Emma; Institute For Health Metrics and Evaluation, Deen, Amanda; Institute For Health Metrics and Evaluation, Ewald, Louisa M.; Institute For Health Metrics and Evaluation, Gakidou, Emmanuela; Institute For Health Metrics and Evaluation, Gillespie, Catherine W.; Institute For Health Metrics and Evaluation, Huntely, Bethany M.; Institute For Health Metrics and Evaluation, Tracy, Alison; Institute For Health Metrics and Evaluation, Mokdad, Ali H.; Institute For Health Metrics and Evaluation, Bellettiere, John; Meta, Farag, Tamer H.; Meta, Lee, Kristina; Meta, Palani, Sid; Meta
Publication year: 2024
DOI: 10.7802/2631
Study number: SDN-10.7802-2631
Contributor, Institution, Role: [Gakidou, Emmanuela; Institute For Health Metrics and Evaluation (Project Leader) [=] Mokdad, Ali H.; Institute For Health Metrics and Evaluation (Project Leader) [=] Kreuter, Frauke; Ludwig Maximilian University of Munich (Project Leader) [=] Stewart, Kathleen; University of Maryland (Project Leader) [=] Farag, Tamer H.; Meta (Project Leader) [=] Palani, Sid; Meta (Project Leader) [=] Bellettiere, John; Meta (Project Leader) [=] Weber, Wiebke; Ludwig Maximilian University of Munich (Project Manager) [=] Castro, Emma; Institute For Health Metrics and Evaluation (Researcher) [=] Deen, Amanda; Institute For Health Metrics and Evaluation (Researcher) [=] Ewald, Louisa M.; Institute For Health Metrics and Evaluation (Researcher) [=] Gillespie, Catherine W.; Institute For Health Metrics and Evaluation (Researcher) [=] Huntely, Bethany M.; Institute For Health Metrics and Evaluation (Researcher) [=] Haensch, Anna-Carolina; Ludwig Maximilian University of Munich (Researcher) [=] Li, Yao; University of Maryland (Researcher) [=] Motte-Kerr, Wichada La; University of Maryland (Researcher) [=] Zins, Stefan; University of Maryland (Researcher) [=] Lee, Kristina; Meta (Researcher) [=] Meta Platforms, Inc. (Sponsor)]
Project funder: Meta Platforms, Inc.
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2631
Publications: Haensch, A., Kreuter, F., La Motte-Kerr, W., Li, Y., Stewart, K., Weber, W., Zins, S., Castro, E., Deen, A., Ewald, L. M., Gakidou, E., Gillespie, C. W., Huntely, B. M., Mokdad, A. H., Bellettiere, J., Farag, T. H., Lee, K., & Palani, S. (2023). Pandemic Response Survey. The University of Maryland. Retrieved from https://healthsurveys.umd.edu
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2625
Other Title (type): Kinder in Deutschland und Ghana 2021 (Parallel title), Folgen der Coronakrise für Kinder in Deutschland und Ghana (Parallel title), Religiöse Diversität in der Lebenswelt ... more
Abstract: English version below:
Die vorliegende 5. World Vision Kinderstudie fokussiert auf den Umgang von Kindern mit religiöser Diversität als eine aktuelle gesellschaftliche H ... more
Abstract: English version below:
Die vorliegende 5. World Vision Kinderstudie fokussiert auf den Umgang von Kindern mit religiöser Diversität als eine aktuelle gesellschaftliche H ... more
Availability: Restricted Access
Subject area: [Sociology of the Youth, Sociology of Childhood [=] Sociology of Religion]
Topics: Germany, Ghana, Weltanschauung, child protection, childrens rights, diversity, religion, health, crisis behavior, pluralism, epidemic, vaccination, meaning of life, god, learning, school, adolescent
Date(s) of Data Collection: 2021-10; 2021-12
Geographic coverage: [Ghana / GH [=] Germany / DE]
Universe: ca. 2500 Kinder in Deutschland + ca. 2500 Kinder in Ghana, Altersgruppen 6-9, 10-13 und 14-16 J.
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: cross-section
Mode of Data Collection: Face-to-face interview
Notes: Folgende Variablen wurden aus Datenschutzgründen komplett anonymisiert oder liegen ausschließlich in kategorisierter Form vor. Die Variablennamen wurden - bis auf POSTLEITZAHL - durch das Suffix *_cat ergänzt //
The following variables were completely anonymized for data protection reasons or are only available in categorized form. The variable names - with the exception of POSTLEITZAHL - were added with the suffix *_cat:
POSTLEITZAHL DISTRICT_GH TOWN_GH SIZE_OF_TOWN SIZE_OF_REGION SIZE_OF_REGION2 E6a E9 E9a E9b E10 E11a E11b E14b E14b_1 E15a_C_97 E15c_1 E15c_1_C_1 E20_C_97 .
POSTLEITZAHL DISTRICT_GH TOWN_GH SIZE_OF_TOWN SIZE_OF_REGION SIZE_OF_REGION2 E6a E9 E9a E9b E10 E11a E11b E14b E14b_1 E15a_C_97 E15c_1 E15c_1_C_1 E20_C_97 .
Primärforschende, Institution: Rohde-Abuba, Caterina; Hochschule für Wirtschaft und Recht Berlin, Konz, Britta; Universität Mainz
Publication year: 2023
DOI: 10.7802/2625
Study number: SDN-10.7802-2625
Contributor, Institution, Role: [Ipsos GmbH (Data Collector)]
Project funder: World Vision Deutschland e.V.
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2625
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2375
Other Title (type): Includes a subset of the data set "COVID-19 and Social Inequality - Panel" (Untertitel)
Abstract: COVID-19 vaccination rates slowed in many countries during the second half of 2021, along with the emergence of vocal opposition, particularly to mandated vaccinations. W ... more
Abstract: COVID-19 vaccination rates slowed in many countries during the second half of 2021, along with the emergence of vocal opposition, particularly to mandated vaccinations. W ... more
Availability: Free access (without registration)
License: CC BY-NC-SA 4.0: Namensnennung - Nicht kommerziell – Weitergabe unter gleichen Bedingungen (https://creativecommons.org/licenses/by-nc-sa/4.0/deed.de)
Subject area: [Wirtschaftswissenschaften [=] Soziologie [=] Psychologie [=] Politikwissenschaft]
Topics: Coronavirus, Politikberatung, confidence, freedom, political control, vaccination, intrinsic motivation, policy approach, social norm, policy implementation
Date(s) of Data Collection: 2020-04-29; 2020-05-08, 2020-10-28; 2020-11-06, 2021-05-05; 2021-05-18
Geographic coverage: Germany / DE
Universe: Wohnbevölkerung über 18 Jahre
Sampling Procedure: Nicht-WahrscheinlichkeitsauswahI - Quotenstichprobe
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview
Notes: Our data set is a subset of a large data set from the project "COVID-19 and Social Inequality" of the Cluster of Excellence "The Politics of Inequality" at the University of Konstanz, containing not only our module on support for voluntary vs. enforced COVID-19 vaccination, but also modules from other researchers. The full data set titled "COVID-19 and Social Inequality - Panel" along with the codebook will also be deposited at GESIS datorium.
Primärforschende, Institution: Schmelz, Katrin; Universität Konstanz, Bowles, Samuel; Santa Fe Institute
Publication year: 2022
DOI: 10.7802/2375
Study number: SDN-10.7802-2375
Contributor, Institution, Role: [Wöhler, Thomas; Universität Konstanz (Projektmanager/in) [=] Busemeyer, Marius R.; Universität Konstanz (Andere) [=] Diehl, Claudia; Universtität Konstanz (Andere) [=] Koos, Sebastian; Universität Konstanz (Andere) [=] Hinz, Thomas; Universität Konstanz (Andere) [=] Bertogg, Ariane; Universität Konstanz (Andere) [=] Leuffen, Dirk; Universität Konstanz (Andere) [=] Heermann, Max; Universität Konstanz (Andere) [=] Selb, Peter; Universität Konstanz (Andere) [=] Bellani, Luna; Universität Konstanz (Andere) [=] Mozer, Konstantin; Universität Konstanz (Datenerheber/in)]
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2375
Publications: Schmelz, K. & Bowles, S. (2022). Opposition to voluntary and mandated COVID-19 vaccination as a dynamic process: Evidence and policy implications of changing beliefs. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 119().;
Cluster of Excellence "The Politics of Inequality" (Konstanz). Data File Version 1.0.0, https://doi.org/10.7802/2272
Other Title (type): Includes a subset of the data set "COVID-19 and Social Inequality - Panel" (Subtitle)
Abstract: What is an effective vaccination policy to end the COVID-19 pandemic? We address this question in a model of the dynamics of policy effectiveness drawing upon the results ... more
Abstract: What is an effective vaccination policy to end the COVID-19 pandemic? We address this question in a model of the dynamics of policy effectiveness drawing upon the results ... more
Availability: Free access (without registration)
License: CC BY-SA 4.0: Attribution – ShareAlike (https://creativecommons.org/licenses/by-sa/4.0/deed.de)
Subject area: [Economics [=] Sociology [=] Psychology [=] Political Science]
Topics: Coronavirus, Policy advice, confidence, conformity, freedom, political control, vaccination, intrinsic motivation, policy approach
Date(s) of Data Collection: 2020-04-29; 2020-05-08, 2020-10-28; 2020-11-06
Geographic coverage: [Germany / DE]
Universe: Wohnbevölkerung über 18 Jahre
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Web-based interview
Notes: Our data set is a subset of a large data set from the Covid-19 survey "Living in exceptional circumstances" of the Cluster of Excellence "The Politics of Inequality" at the University of Konstanz, containing not only our module on support for voluntary vs. enforced COVID-19 vaccination, but also modules from other researchers. The full data set titled "COVID-19 and Social Inequality - Panel" along with the codebook will also be deposited at GESIS datorium.
Primärforschende, Institution: Schmelz, Katrin; Universität Konstanz, Bowles, Samuel; Santa Fe Institute
Publication year: 2021
DOI: 10.7802/2272
Study number: SDN-10.7802-2272
Contributor, Institution, Role: [Wöhler, Thomas; Universität Konstanz (Project Manager) [=] Mozer, Konstantin; Universität Konstanz (Data Collector) [=] Kling, Philipp; Universität Konstanz (Data Manager) [=] Busemeyer, Marius R.; Universität Konstanz (Other) [=] Diehl, Claudia; Universität Konstanz (Other) [=] Bellani, Luna; Universität Konstanz (Other) [=] Koos, Sebastian; Universität Konstanz (Other) [=] Selb, Peter; Universität Konstanz (Other) [=] Hinz, Thomas; Universität Konstanz (Other)]
Project funder: Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379
Publisher: Cluster of Excellence "The Politics of Inequality" (Konstanz)
Current Version: 1.0.0, https://doi.org/10.7802/2272
Publications: Schmelz, K. & Bowles, S. (2021). Overcoming COVID-19 vaccination resistance when alternative policies affect the dynamics of conformism, social norms, and crowding out. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 118(25).https://doi.org/10.1073/pnas.2104912118
