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Found 41 result(s)
The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national panel database of micro data on health, socio-economic status and social and family networks of more than 140,000 individuals (approximately 530,000 interviews) aged 50 or over from 28 European countries and Israel.
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Attention! Data sets are not updated anymore. Please, visit the BonaRes Repositor​ium​ for new datasets. Open Research Data provides quality assessed data and their metadata such as context information on measurement objectives, equipment, methods, testing and investigation areas. The purpose of the repository is to secure quality, integrity and long-term availability of landscape and ecosystem research data as well as to enhance accessibility of free data from ZALF long-term monitoring campaigns, landscape laboratories (Agro-ScapeLabs), field trials and experiments. The Leibniz Centre for Agricultural Landscape Research (ZALF) explores ecosystems in agricultural landscapes and the development of ecologically and economically viable land use systems. ZALF combines scientific expertise from agricultural science, geosciences, biosciences and socio-economics.
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The FDZ-BO at DIW Berlin is a central archive for quantitative and qualitative operational and organizational data. It archives these, informs about their existence and provides datasets for secondary analytical purposes. The archiving of studies and datasets ensures long-term security and long-term availability of the data. In consultation with the responsible scientists, access to individual datasets is made possible as scientific use files, via remote data processing or as part of guest stays. The FDZ-BO offers detailed information on current research projects and develops concepts for research data management of organizational data. The study portal (public in March 2019) provides an overview of existing studies in the field of business and organizational research: content, methodology, information on data and data availability information on how to gain access to the data.
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The German Youth Institute is a leading non-university research institute. Since 1988, empirical studies about the growing up of children and young people and to life situations of adults and families were regularly conducted. The Research Data Centre is part of the department "Social Monitoring." It processes the data and provides data access for secondary analysis.
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The WSI-Datenzentrum is a service provided by the Institute for Social and Economic Research (WSI). It collects and presents primary and secondary data on e.g. working conditions, co-determination or social policy. Primary data collected are primarily the WSI works councils surveys. Interested academics can use the works councils surveys collected from 2005 to 2011. The records are available to everyone and free of charge after contacting the repository owner and signing a data usage statement.
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Supported by the DFG, the project „MO|RE data“ assembles a public eResearch-Infrastructure for motor research data until 2016. It focuses on selected standardized motor tests of wide acceptance. Furthermore MO|RE data generates quality authority control and publishes accompanying material for motor tests.
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The Research Data Center at LIfBi (Forschungsdatenzentrum, FDZ-LIfBi) is primarily responsible for the user-friendly preparation of survey and test data of the National Educational Panel Study (NEPS) and its provision to researchers in the form of Scientific Use Files. Data from other panel studies such as ReGES are also part of the research data infrastructure. The FDZ-LIfBi offers comprehensive documentation of the data material in German and English. It ensures secure and flexible data access via several options (download, remote, on-site). Further services are contract and authorization management, regular data trainings and workshops, annual user conferences, the semi-annual newsletter "LIfBi data", a collection of video tutorials, an online discussion forum and several other tools. The FDZ-LIfBi became accredited by the German Data Forum (RatSWD) in 2012 and has since been actively involved in the Committee for Data Access (FDI Ausschuss). As part of the quality assurance, it demonstrates compliance with the criteria of FAIR data provision and data access in an annual monitoring.
The Comparative Welfare Entitlements Project (CWEP) collects data on institutional features of social insurance programs in 33 countries dating back to the early 1970s. The project extends and updates information collected and published online as CWED by Lyle Scruggs and CWED 2 by Lyle Scruggs, Detlef Jahn, and Kati Kuitto. Data is currently provided for unemployment and sickness insurance benefits as well as for standard and minimum pensions and covers income replacement rates of cash benefits, eligibility criteria and coverage of the programs. Replacement rates are available for ten household types, making CWEP one of the most comprehensive datasets on replacement rates for social insurance programs.
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The Research Data Centre (Forschungsdatenzentrum, FDZ) at the Institute for Educational Quality Improvement (Institut zur Qualitätsentwicklung im Bildungswesen, IQB) archives and documents data sets resulting from national and international assessment studies (such as DESI, PIRLS, PISA, IQB-Bildungstrends). Moreover, the FDZ makes these data sets available for re- and secondary analysis. Members of the scientific community can apply for access to the data sets archived at the FDZ.
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The GIGA (German Institute of Global and Area Studies) researchers generate a large number of qualitative and quantitative research data. On this page you will find descriptions of this research data ("metadata") as well as information about the available access options. To facilitate its reuse, and to enhance research transparency, a large part of the GIGA research data is published in datorium, a repository hosted by the GESIS Leibniz Institute for the Social Sciences: https://www.re3data.org/repository/r3d100011062 Our objective is to offer free access to as much of our data as possible, to guarantee the possibility of its citation, and to secure its safe storage. Metadata of research data that cannot be published open access due to its sensitivity is also shown on this page.
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Goal of the RDC at ZPID is the documentation and long-term archiving of research data from all areas of psychology and the social sciences in accordance with the FAIR principles, using specially created metadata and to provide use of the data for scientific purposes such as secondary analysis and reanalysis. The RDC at ZPID contains all areas of psychology, in particular data sets from clinical, developmental, educational, gero-, and work and organizational psychology stemming from longitudinal studies, major surveys, and test development.
This is the KONECT project, a project in the area of network science with the goal to collect network datasets, analyse them, and make available all analyses online. KONECT stands for Koblenz Network Collection, as the project has roots at the University of Koblenz–Landau in Germany. All source code is made available as Free Software, and includes a network analysis toolbox for GNU Octave, a network extraction library, as well as code to generate these web pages, including all statistics and plots. KONECT contains over a hundred network datasets of various types, including directed, undirected, bipartite, weighted, unweighted, signed and rating networks. The networks of KONECT are collected from many diverse areas such as social networks, hyperlink networks, authorship networks, physical networks, interaction networks and communication networks. The KONECT project has developed network analysis tools which are used to compute network statistics, to draw plots and to implement various link prediction algorithms. The result of these analyses are presented on these pages. Whenever we are allowed to do so, we provide a download of the networks.
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The German General Social Survey (ALLBUS) collects up-to-date data on attitudes, behavior, and social structure in Germany. Every two years since 1980 a representative cross section of the population is surveyed using both constant and variable questions. The ALLBUS data become available to interested parties for research and teaching as soon as they are processed and documented.