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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.
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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
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2652
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Abstract: The data set "SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" ( ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, data quality, survey research, data capture, epidemic, comparison of methods, methodological research
Date(s) of Data Collection: 2022-09; 2023-05
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative surveys in the field of social sciences or health targeting large parts of the general population between March 1, 2020 and December 31, 2021 in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Glasenapp, Karolina von; GESIS - Leibniz-Institut für Sozialwissenschaften, Skora, Thomas; GESIS - Leibniz-Institut für Sozialwissenschaften, Gummer, Tobias; GESIS - Leibniz-Institut für Sozialwissenschaften, Naumann, Elias; GESIS - Leibniz-Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2652
Study number: SDN-10.7802-2652
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2652
Publications: Gummer, T., Skora, T., von Glasenapp, K. & Naumann, Elias (2024). A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic. Scientific Data 11, 619. https://doi.org/10.1038/s41597-024-03475-x, Skora, Thomas, & von Glasenapp, Karolina (2024). Stata code for assessing interrater reliability in the coding of the SDCCP 1 dataset. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2656.
GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2772
Other Title (type): Income, (Mis-)
Abstract: The SOECBIAS-COVREF data set is an output of two research projects: The interdisciplinary research project SOECBIAS, funded by the Federal Ministry of Labour and Social A ... more
Abstract: The SOECBIAS-COVREF data set is an output of two research projects: The interdisciplinary research project SOECBIAS, funded by the Federal Ministry of Labour and Social A ... more
Availability: Restricted Access
Subject area: [Volkswirtschaftslehre [=] Soziologie [=] Sozialpolitik]
Topics: inequality, attitude, income distribution, perception, redistribution, Europe, epidemic, household income, affectedness
Date(s) of Data Collection: 2020-03; 2020-03, 2020-06; 2020-07, 2021-04; 2021-04, 2022-07; 2022-10
Geographic coverage: [Deutschland / DE [=] Italien / IT [=] Polen / PL [=] Schweden / SE]
Temporal Research Design: cross-section, Longitudinal (panel study)
Mode of Data Collection: Self-administered questionnaire:CAWI(Computer-assisted web interviewing)
Primärforschende, Institution: Beblo, Miriam; Universität Hamburg , Jäger, Julian; Universität Hamburg, Lohmann, Henning; Universität Hamburg, Sattler-Bublitz, Elisabeth; Universität Hamburg, Wang, Hequn; Universität Hamburg
Publication year: 2024
DOI: 10.7802/2772
Study number: SDN-10.7802-2772
Project funder: Bundesministerium für Arbeit und Soziales, Deutsche Forschungsgemeinschaft
Publisher: GESIS, Cologne
Current Version: 2.0.0, https://doi.org/10.7802/2772
Version history:
| Version number | Changes in this version |
|---|---|
| 2.0.0 (aktuelle Version) | 2024-09-29 In dieser Version wurden die Daten mit zwei weiteren Panelwellen ergänzt. https://doi.org/10.7802/2772 |
| 1.0.0 | 2023-07-19 https://doi.org/10.7802/2590 |
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/10.7802/2759
Other Title (type): Survey Data Collection and the Covid-19 Pandemic (SDCCP)
Abstract: The data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (S ... more
Abstract: The data set "SDCCP 2 - Survey Design Before and During the Covid-19 Pandemic" was generated by the project entitled "Survey Data Collection and the Covid-19 Pandemic" (S ... more
Availability: Free access (with registration)
Subject area: [Social Sciences]
Topics: Epidemie, Coronavirus, epidemic, data quality, survey research, data capture, comparison of methods, methodological research, longitudinal study
Date(s) of Data Collection: 2022-09; 2024-03
Geographic coverage: [Germany / DE]
Universe: Academic, quantitative longitudinal surveys in the field of social sciences or health targeting large parts of the general population with data collection before and during (i.e. between March 1, 2020 and December 31, 2021) the Covid-19 pandemic in Germany.
Sampling Procedure: Total Universe / Complete enumeration
Temporal Research Design: Longitudinal (panel study)
Mode of Data Collection: Content Analysis
Primärforschende, Institution: Skora, Thomas; GESIS, Glasenapp, Karolina von; GESIS, Gummer, Tobias; GESIS, Bartholomäus, Saskia; GESIS, Naumann, Elias; GESIS
Publication year: 2024
DOI: 10.7802/2759
Study number: SDN-10.7802-2759
Project funder: Bundesministerium für Bildung und Forschung (BMBF)
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2759
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2814
Other Title (type): An Interplay of Social Status, Crisis Experiences and Perceptions (Untertitel)
Abstract: Syntax files to replicate the analyses using the SOECBIAS-COVREF data: Beblo, Miriam, Jäger, Julian, Lohmann, Henning, Sattler-Bublitz, Elisabeth, & Wang, Hequn (2024 ... more
Abstract: Syntax files to replicate the analyses using the SOECBIAS-COVREF data: Beblo, Miriam, Jäger, Julian, Lohmann, Henning, Sattler-Bublitz, Elisabeth, & Wang, Hequn (2024 ... more
Availability: Free access (with registration)
License: CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: Sociology
Topics: social status, perception, subjectivity, status insecurity, crisis, socioeconomic effects, epidemic
Geographic coverage: Germany / DE
Notes: Syntax files to replicate the analyses using the SOECBIAS-COVREF data: Beblo, Miriam, Jäger, Julian, Lohmann, Henning, Sattler-Bublitz, Elisabeth, & Wang, Hequn (2024). SOECBIAS-COVREF Data Set. GESIS, Cologne. Data File Version 2.0.0, https://doi.org/10.7802/2772.
Primärforschende, Institution: Wang, Hequn; Universität Hamburg; Université catholique de Louvain
Publication year: 2024
DOI: 10.7802/2814
Study number: SDN-10.7802-2814
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2814
Reference publication: Wang, Hequn (2024). Navigating subjective socioeconomic insecurity in times of crisis. An interplay of social status, crisis experiences and perceptions. Soziale Welt 75 (4).
Journal name: Soziale Welt
Journal volume: 2024
Issue number: 4
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2722
Abstract: The do-files are made available here, which can be used to replicate the results from the paper "Firl, K., 2024: Changing Attitudes? Investigating the Link between Couple ... more
Abstract: The do-files are made available here, which can be used to replicate the results from the paper "Firl, K., 2024: Changing Attitudes? Investigating the Link between Couple ... more
Availability: Free access (without registration)
Subject area: Sociology
Topics: sociology of the family, family work, gender role, attitude change, epidemic, cognitive dissonance
Primärforschende, Institution: Firl, Katrin; GESIS - Leibniz Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.7802/2722
Study number: SDN-10.7802-2722
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2722
Reference publication: Firl, K. (2024). Changing Attitudes? Investigating the Link between Couples’ Pandemic Behavior, Cognitive Dissonance, and Gender Role Attitudes in Germany. Zeitschrift für Soziologie. https://doi.org/10.1515/zfsoz-2024-2019
Journal name: Zeitschrift für Soziologie
Journal volume: 53
Issue number: 2
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2295
Other Title (type): Autonomous driving algorithms (Paralleltitel)
Abstract: Die Daten für dieses Projekt stammen aus einer Webbefragung unter 1.643 in Deutschland lebenden Internetnutzer*innen ab 18 Jahren im Mai 2021. Die Befragten wurden aus de ... more
Abstract: Die Daten für dieses Projekt stammen aus einer Webbefragung unter 1.643 in Deutschland lebenden Internetnutzer*innen ab 18 Jahren im Mai 2021. Die Befragten wurden aus de ... more
Availability: Free access (with registration)
Subject area: [Soziologie [=] Verkehrssoziologie [=] Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie]
Topics: Autonomes Fahrzeug, Fahrzeugtechnik, Experiment, Autonomous vehicle, epidemic, artificial intelligence, stigma, stigmatization, algorithm, ethics of responsibility
Date(s) of Data Collection: 2021-05-05; 2021-05-16
Geographic coverage: Germany / DE
Universe: Deutsche Internetbevölkerung ab 18 Jahren
Sampling Procedure: Non-probability Sample - Quota Sample
Temporal Research Design: cross-section
Mode of Data Collection: Web-based interview
Primärforschende, Institution: Cohausz, Lea; University of Mannheim, Hensgen, Sophie; University of Mannheim, Keusch, Florian; University of Mannheim
Publication year: 2024
DOI: 10.7802/2295
Study number: SDN-10.7802-2295
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2295
Batzdorfer, Veronika; Zenk-Möltgen, Wolfgang; Young, LauraKatsanidou, Alexia; Breuer, Johannes; Bishop, Libby
GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2721
Abstract: Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular unde ... more
Abstract: Balancing speed and quality during crises pose challenges for ensuring the value and utility of data in social science research. The COVID-19 pandemic in particular unde ... more
Availability: Free access (with registration)
License: CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)
Subject area: [Soziologie [=] Medizinsoziologie [=] Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie]
Topics: Open science, social science, health, data access, epidemic, data quality, data capture, data collection method, methodological research, comparison of methods
Date(s) of Data Collection: 2019; 2023
Geographic coverage (free): [Global]
Universe: Scientific journal articles, covering COVID-19 and social sciences, with associated data
Sampling Procedure: Non-probability Sample - Availability Sample
Temporal Research Design: cross-section
Mode of Data Collection: Field observation
Primärforschende, Institution: Batzdorfer, Veronika; KIT-Karlsruhe Institute of Technology, Zenk-Möltgen, Wolfgang; GESIS - Leibniz Institute for the Social Sciences, Young, Laura; University of Mannheim, Katsanidou, Alexia; GESIS - Leibniz Institute for the Social Sciences, Breuer, Johannes; GESIS - Leibniz Institute for the Social Sciences, Bishop, Libby; GESIS - Leibniz Institute for the Social Sciences
Publication year: 2024
DOI: 10.7802/2721
Study number: SDN-10.7802-2721
Publisher: GESIS, Cologne
Current Version: 1.0.0, https://doi.org/10.7802/2721
Version history:
| Version number | Changes in this version |
|---|---|
| 1.0.0 (aktuelle Version) | 2024-05-30 https://doi.org/10.7802/2721 |
Publications: Batzdorfer, Veronika, Wolfgang Zenk-Möltgen, Laura Young, Alexia Katsanidou, Johannes Breuer, and Libby Bishop. 2024. "Between urgency and data quality: assessing the FAIRness of data in social science research on the COVID-19 pandemic." Research Ethics. https://doi.org/10.1177/17470161241257575.
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
