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Found 153 result(s)
A service of the Inter-university Consortium for Political and Social Research (ICPSR), openICPSR is a self-publishing repository for social, behavioral, and health sciences research data. openICPSR is particularly well-suited for the deposit of replication data sets for researchers who need to publish their raw data associated with a journal article so that other researchers can replicate their findings.
The Roper Center for Public Opinion Research is one of the world's leading archives of social science data, specializing in data from surveys of public opinion. The data held by the Roper Center range from the 1930s, when survey research was in its infancy, to the present. Most of the data are from the United States, but over 100 nations are represented.
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The Irish Social Science Data Archive (ISSDA) is Ireland’s leading centre for quantitative data acquisition, preservation, and dissemination. Its mission is to ensure wide access to quantitative datasets in the social sciences, and to advance the promotion of international comparative studies of the Irish economy and Irish society.
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The Informatics Research Data Repository is a Japanese data repository that collects data on disciplines within informatics. Such sub-categories are things like consumerism and information diffusion. The primary data within these data sets is from experiments run by IDR on how one group is linked to another.
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OECD iLibrary is the online library of the Organisation for Economic Cooperation and Development (OECD) featuring its books, papers and statistics and is the gateway to OECD’s analysis and data. It replaced SourceOECD in July 2010. OECD iLibrary also contains content published by the International Energy Agency (IEA), the Nuclear Energy Agency (NEA), the OECD Development Centre, PISA (Programme for International Student Assessment), and the International Transport Forum (ITF). OECD iLibrary presents all content so users can find - and cite - tables and databases as easily as articles or chapters in any available format: PDF, WEB, XLS, DATA, ePUB, READ.
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 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.
Arch is an open access repository for the research and scholarly output of Northwestern University. Log in with your NetID to deposit, describe, and organize your research for public access and long-term preservation. We'll use our expertise to help you curate, share, and preserve your work.
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By opening its data to everyone, Ville de Montréal allows it to be reused for various purposes, including commercial ones. The results of this reuse can then be shared in the community, creating a multiplier effect. The data released and reused thus generate benefits in the economic, cultural, social and technological spheres.
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The Research Data Center Qualiservice provides services for archiving and reusing qualitative research data from the social sciences. We advise and accompany research projects in the process of long-term data archiving and data sharing. Data curation is conducted by experts for the social sciences. We also provide research data and relevant context information for reuse in scientific research and teaching. Internationally interoperable metadata ensure that data sets are searchable and findable. Persistent identifiers (DOI) ensure that data and study contexts are citable. Qualiservice was accredited by the German Data Forum (RatSWD) in 2019 and adheres to its quality assurance criteria. Qualiservice is committed to the German Research Foundation’s (DFG) Guidelines for Safeguarding Good Scientific Practice and takes into account the FAIR Guiding Principles for scientific data management and stewardship as well as the OECD Principles and Guidelines for Access to Research Data from Public Funding. Qualiservice coordinates the networking and further development of scientific infrastructures for archiving and secondary use of qualitative data from social research within the framework of the National Research Data Infrastructure.
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<<<!!!<<< This is an archived site (as of 30 June 2016) >>>!!!>>> The Research Data Center (RDC) of the Collaborative Research Center 882 "From heterogeneities to inequalities" at Bielefeld University provides external scientists access to the research data generated in the CRC 882. It provides access to both qualitative and quantitative data from the field of inequality research. The CRC 882 RDC supports external researchers who are reusing the data, as well as gives advice on data documentation and anonymization procedures to the researchers of the CRC to ensure high data quality. The datasets include, for example, a panel on youth crime, different series of interviews on ethnicity, paternal life and recalls of employees, as well as other panels, interview data and experimental data. In the further course of the Collaborative Research Center the database will be expanded with the data of future projects. External scientists can make an application for the scientific use of CRC 882 Research Data. In accordance with data privacy requirements, the access will be organized via controlled remote data access or via on-site use. For this purpose, the RDC provides workplaces for guest researchers.
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 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.
To help flattening the COVID-19 curve public health systems need better information on whether preventive measures are working and how the virus may spread. Facebook Data for Good offer maps on population movement that researchers and nonprofits are already using to understand the coronavirus crisis, using aggregated data to protect people’s privacy.
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Initiated in 1989 and established in 2014, the Luxembourg Institute of Socio-Economic Research (LISER) is a public research institute located in Luxembourg under the supervision of the Ministry of Higher Education and Research. Integrated into a unified legal framework (law of 3 December 2014) LISER’s missions are to undertake both fundamental and applied research in social sciences that aim to advance knowledge, support public policy both at the national and European level and inform society. LISER contributes to the advancement of scientific knowledge in social and economic matters across the activities of its three research departments "Living Conditions", "Labour Market" and "Urban Development and Mobility". In parallel, the institute aligns itself with national and European priorities and fosters interdisciplinarity by focusing its research work on three priority research programmes: “Crossing Borders”, "Health and Health Systems" and "Digital Transformation". LISER hosts two complementary infrastructures, key drivers of its research development and excellence. - The Data Centre, which consists of two pillars, the data collection capability (direct and indirect data collection), and the data archiving and data management capability. - The Behavioural and Experimental Economics dedicated to investigating human decision-making by means of experiments performed in controlled environments. Its experimental approach contributes to improving the understanding of human behaviour in a large variety of socioeconomic contexts. LISER aims to be an internationally recognized socio-economic research institute specializing in the analysis of societal changes. Through its inter-and-multidisciplinary research, it makes a proactive and targeted contribution to the sustainable and inclusive development of societies at the national and international levels.
UNC Dataverse is an open-source repository software application for archiving, sharing, and accessing research data of all kinds. Each dataverse within the larger repository contains a multitude of datasets, and each dataset contains descriptive metadata and data files. UNC Dataverse is hosted by Odum Institute for Research in Social Science.