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Found 305 result(s)
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.
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The Research Data Center (RDC) “International Survey Programs“ provides researchers with data, services, and consultation on a number of important international study series which are under intensive curation by GESIS. They all cover numerous countries and, quite often, substantial time spans. The RDC provides optimal data preparation and access to a wide scope of data and topics for comparative analysis.
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The Trøndelag Health Study (The HUNT Study) is one of the largest health studies ever performed. It is a unique database of questionnaire data, clinical measurements and samples from a county’s inhabitants from 1984 onwards. The HUNT Study is well-known in the county of Trøndelag, and its inhabitants have a generally positive attitude to participation and health research resulting from the study. HUNT has high participation rates, providing a good base for further health surveys in the county and an excellent research environment. Today, HUNT Research Centre has a database with information on 230,000 people. Approximately 300 national and international research projects are currently using the samples and data from HUNTs collection.
SUNScholarData is an institutional research data repository which can be used for the registration, archival storage, sharing and dissemination of research data produced or collected in relation to research conducted under the auspices of Stellenbosch University. The repository has a public interface which can be used for finding content. It also has private user accounts which can be used by Stellenbosch University users in order to upload, share or publish their research data. In addition to this Stellenbosch University researchers can also use SUNScholarData in order to collaborate with researchers from other institutions whilst working on their research projects. The repository creates a medium through which Stellenbosch University’s research data can be made findable and accessible. It also facilitates the interoperability and re-usability of the university’s research 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 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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<<<!!!<<< 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 American National Election Studies (ANES) conducts national surveys and pilot studies and provides large, multifaceted datasets. Time Series Studies are conducted during years of national elections, with pre-election and post-election surveys conducted in presidential election years and post-election surveys conducted during congressional election years. Pilot Studies are normally conducted in years when there is no national election and are designed to test new, or to refine existing, instrumentation and study designs. Other Major Data Collections includes panel studies and other special studies.
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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 National Archives makes Denmark's largest collection of questionnaire-based research data available to researchers and students. Order quantitative research data, conduct analyzes online and access register data and international survey data. Formerly known as the Danish Data Archive (DDA), it was the national social science data archive.
Social Computing Data Repository hosts data from a collection of many different social media sites, most of which have blogging capacity. Some of the prominent social media sites included in this repository are BlogCatalog, Twitter, MyBlogLog, Digg, StumbleUpon, del.icio.us, MySpace, LiveJournal, The Unofficial Apple Weblog (TUAW), Reddit, etc. The repository contains various facets of blog data including blog site metadata like, user defined tags, predefined categories, blog site description; blog post level metadata like, user defined tags, date and time of posting; blog posts; blog post mood (which is defined as the blogger's emotions when (s)he wrote the blog post); blogger name; blog post comments; and blogger social network.
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The Slovenian Social Science Data Archives (Slovenski Arhiv DruĹľboslovnih podatkov - ADP) were established in 1997 as an organizational unit within the Institute of Social Sciences at the Faculty of Social Sciences, University of Ljubljana. Its tasks are to acquire significant data sources within a wide range of social science disciplines of interest to Slovenian social scientists, review and prepare them for digital preservation, and to disseminate them for further scientific, educational and other purposes.
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.
TRAILS is a prospective cohort study, which started in 2001 with population cohort and 2004 with a clinical cohort (CC). Since then, a group of 2500 young people from the Northern part of the Netherlands has been closely monitored in order to chart and explain their mental, physical, and social development. These TRAILS participants have been measured every two to three years, by means of questionnaires, interviews, and all kinds of tests. By now, we have collected information that spans the total period from preadolescence up until young adulthood. One of the main goals of TRAILS is to contribute to the knowledge of the development of emotional and behavioral problems and the (social) functioning of preadolescents into adulthood, their determinants, and underlying mechanisms.
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The purpose of the Social Data Repository (RDS) is to make available in the Internet social data, consisting of data sets and accompanying technical or methodological documentation. The use of Repository is open for everyone. The repository is operated by the University of Warsaw (Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw). Individual collections in the Social Data Repository are subject to editorial review by University of Warsaw or collection administrators, under separate rules for a given collection. In particular, the supervising editor for the collection “Archive of Quantitative Social Data” is the Team of the Archive of Quantitative Social Data.
UM Dataverse is part of the Dataverse Project conceived of by Harvard University. It is an open source repository to assist researchers in the creation, management and dissemination of their research data. UM Dataverse allows for the creation of multiple collaborative environments containing datasets, metadata and digital objects. UM Dataverse provides formal scholarly data citations and can help with data requirements from publishers and funders.
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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.
The Minnesota Population Center (MPC) is a University-wide interdisciplinary cooperative for demographic research. The MPC serves more than 80 faculty members and research scientists from eight colleges and institutes at the University of Minnesota. As a leading developer and disseminator of demographic data, we also serve a broader audience of some 50,000 demographic researchers worldwide. MPC is a DataONE member node: https://search.dataone.org/#profile/US_MPC
The Gateway to Global Aging Data is a platform for population survey data on aging around the world. This site offers a digital library of survey questions, a search engine for finding comparable questions across surveys, and identically defined variables for cross-country analysis. The Survey Meta Data Repository provides Health and Retirement Study metadata of family surveys. Survey Meta Data Repository primarily provides access to survey metadata so researchers can compare survey formats, types and identically defined variables. Additional resources include tools for cross-country analysis, general statistics by country and year, survey question library, and tools for comparing questions across the surveys. Datasets are in Stata format; users must register and request datasets.
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This is Kelowna's Open Data Portal. This is the community's public platform for exploring and downloading open data, discovering and building apps. You can analyze and combine Open Datasets using maps, as well as develop new web and mobile applications. Search and download open datasets at no cost.
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Search and explore the City of Burlington's open data. The Open Data service makes raw city data available for public use and new application development. The Open Data service is just one of the innovative ways we are evolving our customer service practices using online technology.