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Found 13 result(s)
Country
The FDZ-DZA (Forschungsdatenzentrum DZA) is a facility of the German Centre of Gerontology (Deutsches Zentrum für Altersfragen, DZA) and has received accreditation as research data center DZA by the German Data Forum (RatSWD). Its main task is to make data of the German Ageing Survey DEAS and the German Survey on Volunteering (FWS) accessible to researchers by providing user-friendly Scientific Use Files (SUF), documentation of the contents and instruments as well support for scholars using the data.
Country
The German Socio-Economic Panel Study (SOEP) is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators.
Content type(s)
Country
Health education and health promotion are important elements of the health system in Germany. The Federal Centre for Health Education (BZgA) has been pursuing the goal of preventing health risks and encouraging health-promoting lifestyles since its establishment in 1967. In addition, the understanding of health and prevention is changing. Against this backdrop, health education is - as a constant communication process - dedicated to the goal of enabling self-responsible action in relation to health. The data sets can be requested from GESIS via the data archive for social sciences (DAS): https://www.gesis.org/institut/abteilungen/datenarchiv-fuer-sozialwissenschaften
Country
Since 2004, the Leibniz Institute for Prevention Research and Epidemiology – BIPS has been working on the establishment and maintenance of the project-based German Pharmacoepidemiological Research Database (short GePaRD). GePaRD is based on claims data from statutory health insurance (SHI) providers and currently includes information on about 20 million persons who have been insured with one of the participating providers since 2004. Per data year, there is information on approximately 17% of the general population from all geographical regions of Germany.
Country
The Research Data Center Wissenschaftsstatistik provides the scientific community with data on economics and innovation in Germany. Data on research and development (R&D) in Germany (collected on behalf of the Federal Ministry of Education and Research) and on the development and startup culture of universities are made available via scientific use files and campus use files. Most studies and data are in German.
Country
The Research Data Centre (FDZ) of the German Federal Employment Agency (BA) at the Institute for Employment Research (IAB) is intended mainly to facilitate access to BA and IAB micro data for non-commercial empirical research using standardised and transparent access rules. The FDZ mediates between data producers and external users. We also control for compliance with data protection regulations.
The IWH Research Data Centre provides external scientists with data for non-commercial research. The research data centre of the IWH was accredited by RatSWD.
Country
Research on German and European financial markets suffers from a lack of pan-European data sets. Also, existing sets do not provide a standard identification of, for example, companies. Therefore, researchers often utilize data from the United States where the integration of different databases is more advanced. As a consequence, empirical analyses are mostly based on non-European data. Because of the institutional differences, political recommendations that result from these analyses cannot – or only in a limited scope – be transferred to Europe. Against this background, the SAFE Research Data Center not only draws on the usual international data sources but also creates new European data sets, brings existing data together and processes them. The aim is to place the central research areas of SAFE on a common European data footing. Data access is provided by 'SAFE data sources' https://datacenter.safefrankfurt.de/datacenter/_databases/ and 'FiF - Repositorium für Forschungsdaten aus dem Finanzbereich (Preview version)' https://fif.safe-frankfurt.de/xmlui/
Country
The Research Data Centre (FDZ-RV) was set-up in 2004 as an integral part of the German Federal Pension Insurance (Deutsche Rentenversicherung). Since then, the Research Data Centre produced several cross-sectional and longitudinal datasets, also called Scientific Use Files (SUF), available to researchers interested in issues of retirement, disability and rehabilitation. The datasets are released on an annual basis. The Scientific Use Files are subsamples drawn from the pool of individuals who are insured in the Federal Pension Insurance. The information provided in the original datasets is necessary to administer the beneficiaries of the pension insurance.
Country
The 2008-launched German Family Panel pairfam (“Panel Analysis of Intimate Relationships and Family Dynamics”) is a multi-disciplinary, longitudinal study for researching partnership and family dynamics in Germany. The annually collected survey data from a nationwide random sample of more than 12,000 persons of the three birth cohorts 1971-73, 1981-83, 1991-93 and their partners, parents and children offers unique opportunities for the analysis of partner and generational relationships as they develop over the course of multiple life phases.
Country
As a center for scientific research and evidence-based policy advice, RWI requires an effective econometric infrastructure. The increased use of individual and firm data also requires effective regulations and tools for data protection. The research division’s objectives are to advise RWI researchers in methodical questions, to develop new econometric approaches to solve concrete research questions, and to ensure data protection.