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Found 52 result(s)
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aviDa is the RDC for audio-visual data of empirical qualitative social research at the Department of General Sociology at the Technische Universität Berlin, developed in cooperation between the Technische Universität Berlin and the University of Bayreuth. aviDa aims at opening and sharing videographic research data since 2018.
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DaRUS, the data repository of the University of Stuttgart, offers a secure location for research data and codes, be it for the administration of own data, for exchange within a research group, for sharing with selected partners or for publishing.
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DepositOnce is the institutional repository for research data and publications of TU Berlin. In DepositOnce, research results of TU Berlin members and, if applicable, their research partners are archived permanently and made freely accessible on the internet.
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The repository is no longer available <<<!!!<<< The Senate Commission on Oceanography planned and coordinated the activities of the DFG in the field of marine research from 1959 until 2017. Most notably, it advised on matters pertaining to the research vessels METEOR and (from 2006 onwards) MARIA S. MERIAN, which are co-funded by the DFG. The focus was on the review process and evaluation of proposed voyages for these two ships. The Expert Research Vessel Panel (GPF) appointed by the BMBF and DFG, which is responsible for the review process for proposed voyages for all global, oceanic and regional German research vessels within the framework of a joint procedure developed by the BMBF, DFG and HGF, was constituted on 7 March 2018 and thus took on this task concerning METEOR and MARIA S. MERIAN from the Senate Commission on Oceanography. More information on the new review process can be found on the German Research Vessels Portal. https://www.portal-forschungsschiffe.de/index.php?index=53. >>>!!!>>>
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The Edition Topoi research platform is an innovative, reliable information infrastructure. It serves the publication of citable research data such as 3D models, high-resolution pictures, data and databases. The content and its meta data are subject to peer review and made available on an Open Access basis. The published or publishable combination of citable research content and its technical and contextually relevant meta data is defined as Citable. The public data are generated via a cloud and can be directly connected with the individual computing environment.
With the Program EnviDat we develop a unified and managed access portal for WSL's rich reservoir of environmental monitoring and research data. EnviDat is designed as a portal to publish, connect and search across existing data but is not intended to become a large data centre hosting original data. While sharing of data is centrally facilitated, data management remains decentralised and the know-how and responsibility to curate research data remains with the original data providers.
The Research Collection is ETH Zurich's publication platform. It unites the functions of a university bibliography, an open access repository and a research data repository within one platform. Researchers who are affiliated with ETH Zurich, the Swiss Federal Institute of Technology, may deposit research data from all domains. They can publish data as a standalone publication, publish it as supplementary material for an article, dissertation or another text, share it with colleagues or a research group, or deposit it for archiving purposes. Research-data-specific features include flexible access rights settings, DOI registration and a DOI preview workflow, content previews for zip- and tar-containers, as well as download statistics and altmetrics for published data. All data uploaded to the Research Collection are also transferred to the ETH Data Archive, ETH Zurich’s long-term archive.
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The GML contributes to the continual improvement of access to and information about official microdata; provides a service and research infrastructure for these data; adopts the function of an intermediary between the Federal Statistical Office and empirical research; conducts exemplary research based upon official data. The GML is an integral part of the German data infrastructure and features as one of six institutions funded by the German Council of Social and Economic Data.
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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 Research Data Center for Higher Education Research and Science Studies (FDZ-DZHW) at the German Centre for Higher Education Research and Science Studies (DZHW) in Hannover provides the scientific community with quantitative and qualitative research data from the field of higher education and science studies for research and teaching purposes. The data pool of the Research Data Centre is based on two sources: Firstly, it contains the current surveys of the panels conducted in-house (especially DZHW Graduate Panel, Social Survey, DZHW Panel Study of School Leavers with a Higher Education Entrance Qualification, DZHW Scientists Survey), which are integrated by default. Secondly, the Research Data Centre constantly processes, documents and integrates inventory data of the DZHW and its prior organisations. External data from the research area is also integrated into the FDZ data pool.
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The Research Data Repository of FID move is a digital long-term repository for open data from the field of transport and mobility research. All datasets are provided with an open licence and are assigned a persistent DataCite DOI (Digital Object Identifier). Both data search and archiving are free. The Specialised Information Service for Mobility and Transport Research (FID move) has been set up by the Saxon State and University Library Dresden (SLUB) and the German TIB – Leibniz Information Centre for Science and Technology as part of the DFG funding programme "Specialised Information Services".
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Fordatis is the institutional research data repository of the Fraunhofer-Gesellschaft. Fraunhofer-Gesellschaft based in Germany is Europes largest research and technology organization. Fordatis contains research data created by researcher at Fraunhofer. These are data from the engineering, natural sciences and social sciences.
FORS is the Swiss Centre of Expertise in the Social Sciences. FORS maintains a national digital archive for social science research data, implements large-scale national and international surveys, offers data and research information services to researchers and academic institutions, and conducts methodological and thematic research. FORS Data Service is FORS’ resource centre for research and teaching in the social sciences. It provides data management support and training, and it archives, disseminates and promotes quantitative and qualitative data. The Data Service maintains a comprehensive and up-to-date inventory of social science research projects in Switzerland, and makes available a wide range of datasets for secondary analysis. Databases at the FORS Data Service are: SWISSUbase and DeVisu (for variable level metadata for important surveys).
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The Research Data Centre of the Robert Koch Institute (FDZ RKI) publishes the data of population-representative health surveys in the form of public use files (PUFs).The main purpose of health surveys is to generate a maximum amount of information on the state of health and health-related behaviour of Germany's resident population while ensuring an optimum use of funds. The methodology - i.e. the sample design, the principles on operationalization and measurement, and data-collection techniques - is largely modelled on the tried-and-tested methods of empirical social research. Health interview surveys (HIS) use established survey techniques such as filling out questionnaires, computer-assisted telephone interviews (CATI), computer-assisted personal interviews (CAPI), and online polling via the internet or email. The main difference compared to purely sociological surveys lies in the additional biomedical examinations, tests and medical-biochemical measurements, which generate significant added value in addition to the results of the surveys; this part is referred to internationally as the health examination survey (HES).
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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 Research Data Centre Education is a focal point for empirical educational research regarding the archiving and retrieval of audiovisual research data (AV) data and survey instruments (questionnaires and tests). In Research Data Centre Education relevant for empirical educational research data sets and tools for secondary use are provided conform with data protection via a central data repository. Contextual information for each origin study and data and instruments as well as related publications complete the offer. Content of Research Data Centre Education formation (so far) focuses on instruments and data sets of Schulqualitäts- and teaching quality research. Observation and interview data in the form of (anonymous) transcripts and codes - be viewed freely accessible - if any. The release of the original AV data for a scientific re-use is linked to a registration by specifying a reasoned research interest in order to protect the privacy rights of the observed or interviewed people.
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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.
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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 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.
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BIBB has a strong tradition of survey-based research. It initiates and realises the collection of individual and firm-level data on crucial positions and transitions in the education and labour market system. The BIBB-FDZ covers a variety of data deploying different units of analysis and temporal designs and focusing on various thematic issues. Standard access to well prepared firm- and individual-level data on the attainment and utilization of vocational education and training Documentation of these data sets, i.e. a description of their central characteristics, main issues and variables, data collection, anonymisation, weighting and recoding etc. Advisory service on data choice, data access and handling, research potential and scope and validity of the data. Supply of a range of data tools such as standard measures and classifications in the fields of education, occupations, industries and regions (if possible also including cross-national fields), formally anonymous data for remote data access, or references to publications with the data.
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.