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Found 173 result(s)
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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.
Stats NZ (Statistics New Zealand) collects data about New Zealand’s environment, economy and society. The information helps government, local councils, Māori, businesses, communities, researchers and the public to measure, and make decisions about such things as: where we need roads, schools and hospitals, environmental progress, our quality of life, how families are doing, where to locate a business, and what products to sell. The Statistics New Zealand Data Archive is a central repository for all the important statistical datasets and associated documentation, metadata and publications that Statistics New Zealand produces. It also acts as a safe repository for datasets produced by other government agencies and government funded statistical studies. The key difference between the Statistics New Zealand Data Archive and other digital archives is that it contains primarily statistical data at unit record level. The unit record data is archived when it is no longer in regular use by its producer.
The Comparative Political Data Set 1960-2018 (CPDS) is a collection of political and institutional data which have been assembled in the context of the research projects “Die Handlungsspielräume des Nationalstaates” and “Critical junctures. An international comparison” directed by Klaus Armingeon and funded by the Swiss National Science Foundation. This data set consists of (mostly) annual data for 36 democratic OECD and/or EU-member coun-tries for the period of 1960 to 2018. In all countries, political data were collected only for the democratic periods. The data set is suited for cross-national, longitudinal and pooled time-series analyses.
It is a platform for supporting Open Data initiative of Government of Odisha, intends to publish datasets collected by them for public use. It also supports widely used file formats that are suitable for machine processing, thus gives avenues for many more innovative uses of Government Data in different perspective. This portal has been created under Software as A Service (SaaS) model of Open Government Data (OGD) Platform India of NIC. The data available in the portal are owned by various Departments/Organization of Government of Odisha. It follows principles on which data sharing and accessibility need to be based include: Openness, Flexibility, Transparency, Quality, Security and Machine-readable.
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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.
<<<!!!<<< The repository is no longer available. 2018-11-20; COMPASS used to be provided and available at FORS but is no longer supported. >>>!!!>>>
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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.
The Government is releasing public data to help people understand how government works and how policies are made. Some of this data is already available, but data.gov.uk brings it together in one searchable website. Making this data easily available means it will be easier for people to make decisions and suggestions about government policies based on detailed information.
The Social Science Data Archive is still active and maintained as part of the UCLA Library Data Science Center. SSDA Dataverse is one of the archiving opportunities of SSDA, the others are: Data can be archived by SSDA itself or by ICPSR or by UCLA Library or by California Digital Library. The Social Science Data Archives serves the UCLA campus as an archive of faculty and graduate student survey research. We provide long term storage of data files and documentation. We ensure that the data are useable in the future by migrating files to new operating systems. We follow government standards and archival best practices. The mission of the Social Science Data Archive has been and continues to be to provide a foundation for social science research with faculty support throughout an entire research project involving original data collection or the reuse of publicly available studies. Data Archive staff and researchers work as partners throughout all stages of the research process, beginning when a hypothesis or area of study is being developed, during grant and funding activities, while data collection and/or analysis is ongoing, and finally in long term preservation of research results. Our role is to provide a collaborative environment where the focus is on understanding the nature and scope of research approach and management of research output throughout the entire life cycle of the project. Instructional support, especially support that links research with instruction is also a mainstay of operations.
The gift of the Stowell Datasets, a digital archive of psychographic data, to the College of Liberal Arts (and continued gift of new datasets) provide a unique opportunity for WSU to facilitate access to a valuable research resource. The datasets include over 350 individual major media market surveys (CATI, Random Digit Dialing telephone surveys) collected over the period 1989-2001 and feature approximately n=1,000+ respondents for each market for each year.
LSE Research Online is the institutional repository for the London School of Economics and Political Science. LSE Research Online contains research produced by LSE staff, including journal articles, book chapters, books, working papers, conference papers and more.
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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.
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. It is used by students, educators, and researchers all over the world as a primary source of machine learning data sets. As an indication of the impact of the archive, it has been cited over 1000 times.
AmericasBarometer surveys are multi-country, regularly conducted surveys of democratic values and behaviors in the Americas. The raw data are available for free at all LAPOP consortium member institutions, and at all other users worldwide. Besides this a permanent ownership of the data, in becoming a 'repository', is possible for a fee.
The General Social Survey (GSS) conducts basic scientific research on the structure and development of American society with a data-collection program designed to both monitor societal change within the United States and to compare the United States to other nations.
The DesignSafe Data Depot Repository (DDR) is the platform for curation and publication of datasets generated in the course of natural hazards research. The DDR is an open access data repository that enables data producers to safely store, share, organize, and describe research data, towards permanent publication, distribution, and impact evaluation. The DDR allows data consumers to discover, search for, access, and reuse published data in an effort to accelerate research discovery. It is a component of the DesignSafe cyberinfrastructure, which represents a comprehensive research environment that provides cloud-based tools to manage, analyze, curate, and publish critical data for research to understand the impacts of natural hazards. DesignSafe is part of the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI), and aligns with its mission to provide the natural hazards research community with open access, shared-use scholarship, education, and community resources aimed at supporting civil and social infrastructure prior to, during, and following natural disasters. It serves a broad national and international audience of natural hazard researchers (both engineers and social scientists), students, practitioners, policy makers, as well as the general public. It has been in operation since 2016, and also provides access to legacy data dating from about 2005. These legacy data were generated as part of the NSF-supported Network for Earthquake Engineering Simulation (NEES), a predecessor to NHERI. Legacy data and metadata belonging to NEES were transferred to the DDR for continuous preservation and access.
The European Social Survey (the ESS) is a biennial multi-country survey covering over 30 nations. The first round was fielded in 2002/2003, the fifth in 2010/2011. The questionnaire includes two main sections, each consisting of approximately 120 items; a 'core' module which remains relatively constant from round to round, plus two or more 'rotating' modules, repeated at intervals. The core module aims to monitor change and continuity in a wide range of social variables, including media use; social and public trust; political interest and participation; socio-political orientations; governance and efficacy; moral; political and social values; social exclusion, national, ethnic and religious allegiances; well-being; health and security; human values; demographics and socio-economics
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More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity. By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing. This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
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The Cross-National Time-Series Data Archive (CNTS) was initiated by Arthur S. Banks in 1968 with the aim of assembling, in machine readable, longitudinal format, certain of the aggregate data resources of The Statesman’s Yearbook. The CNTS offers a listing of international and national country-data facts. The dataset contains statistical information on a range of countries, with data entries ranging from 1815 to the present.
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DAIS - Digital Archive of the Serbian Academy of Sciences and Arts is a joint digital repository of the Serbian Academy of Sciences and Arts (SASA) and the research institutes under the auspices of SASA. The aim of the repository is to provide open access to publications and other research outputs resulting from the projects implemented by the SASA and its institutes. The repository uses a DSpace-based software platform developed and maintained by the Belgrade University Computer Centre (RCUB).