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Found 59 result(s)
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GovData the data portal for Germany offers consistent and central access to administrative data at the federal, state, and local level. Objective is to make data more available and easier to use at a single location. As set out in the concept of "open data", we attempt to facilitate the use of open licenses and to increase the supply of machine-readable raw data.
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Open Government Data Portal of Tamil Nadu is a platform (designed by the National Informatics Centre), for Open Data initiative of the Government of Tamil Nadu. The portal is intended to publish datasets collected by the Tamil Nadu Government for public uses in different perspective. It has been created under Software as A Service (SaaS) model of Open Government Data (OGD) and publishes dataset in open formats like CSV, XLS, ODS/OTS, XML, RDF, KML, GML, etc. This data portal has following modules, namely (a) Data Management System (DMS) for contributing data catalogs by various state government agencies for making those available on the front end website after a due approval process through a defined workflow; (b) Content Management System (CMS) for managing and updating various functionalities and content types; (c) Visitor Relationship Management (VRM) for collating and disseminating viewer feedback on various data catalogs; and (d) Communities module for community users to interact and share their views and common interests with others. It includes different types of datasets generated both in geospatial and non-spatial data classified as shareable data and non-shareable data. Geospatial data consists primarily of satellite data, maps, etc.; and non-spatial data derived from national accounts statistics, price index, census and surveys produced by a statistical mechanism. It follows the principle of data sharing and accessibility via Openness, Flexibility, Transparency, Quality, Security and Machine-readable.
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SMU Research Data Repository (SMU RDR) is a tool and service for researchers from Singapore Management University (SMU) to store, share and publish their research data. SMU RDR accepts a wide range of research data and outputs generated from research projects.
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The TRR228DB is the project-database of the Collaborative Research Centre 228 "Future Rural Africa: Future-making and social-ecological transformation" (CRC/Transregio 228, https://www.crc228.de) funded by the German Research Foundation (DFG, German Research Foundation – Project number 328966760). The project-database is a new implementation of the TR32DB and online since 2018. It handles all data including metadata, which are created by the involved project participants from several institutions (e.g. Universities of Cologne and Bonn) and research fields (e.g. anthropology, agroeconomics, ecology, ethnology, geography, politics and soil sciences). The data is resulting from several field campaigns, interviews, surveys, remote sensing, laboratory studies and modelling approaches. Furthermore, outcomes of the scientists such as publications, conference contributions, PhD reports and corresponding images are collected.
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This platform aims to realize data storage, data management, data analysis, data sharing and data citation traceability of various data sets in the field of Humanities and Social Sciences of East China Normal University.
Academic Commons provides open, persistent access to the scholarship produced by researchers at Columbia University, Barnard College, Jewish Theological Seminary, Teachers College, and Union Theological Seminary. Academic Commons is a program of the Columbia University Libraries. Academic Commons accepts articles, dissertations, research data, presentations, working papers, videos, and more.
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The FDZ-DZA (Forschungsdatenzentrum DZA) is a facility of the German Centre of Gerontology (Deutsches Zentrum für Altersfragen, DZA) and has received accreditation as research data center DZA by the German Data Forum (RatSWD). Its main task is to make data of the German Ageing Survey DEAS and the German Survey on Volunteering (FWS) accessible to researchers by providing user-friendly Scientific Use Files (SUF), documentation of the contents and instruments as well support for scholars using the data.
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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.
NACDA acquires and preserves data relevant to gerontological research, processing as needed to promote effective research use, disseminates them to researchers, and facilitates their use. By preserving and making available the largest library of electronic data on aging in the United States, NACDA offers opportunities for secondary analysis on major issues of scientific and policy relevance
The Cross-National Equivalent File (CNEF) contains population panel data from Australia, Canada, Germany, Great Britain, Korea, Russia, Switzerland and the United States. Each of these countries undertakes a longitudinal household economic survey. The data are made equivalent, providing a reference dataset which cross-links each of the individual studies and allowing cross-national comparisons.
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Access analytical research reports and statistical information on citizenship and immigration trends. Research for Citizenship and Immigration Canada’s strategic research program furthers our understanding of the impact of immigration on Canadian society. Citizenship and Immigration Canada’s statistical publications provide information on permanent and temporary residents as well as immigration and citizenship programs. Older Research and Statistics reports from Library and Archives Canada. Key findings of external and internal projects related to public opinion.
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Discuss Data is an open repository for storing, sharing and discussing research data on Eastern Europe, the South Caucasus and Central Asia. The platform, launched in September 2020, is funded by the German Research Foundation (DFG) and operated by the Research Centre for East European Studies at the University of Bremen (FSO) and the Göttingen State and University Library (SUB). Discuss Data goes beyond ordinary repositories and offers an interactive online platform for the discussion and quality assessment of research data. Our aim is to create a space for academic communication and for the community-specific publication, curation, annotation and discussion of research data.
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Edmond is the institutional repository of the Max Planck Society for public research data. It enables Max Planck scientists to create citable scientific assets by describing, enriching, sharing, exposing, linking, publishing and archiving research data of all kinds. Further on, all objects within Edmond have a unique identifier and therefore can be clearly referenced in publications or reused in other contexts.
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Statistics Greenland collects, processes, and publicizes statistical material concerning social issues in Greenland. Information is published in English, Greenlandic, and Danish, although not all information has been translated.
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<<<!!!<<< This repository is no longer available. The Social Sciences Library of the former Center for Advanced Studies in Social Sciences (CEACS) of the Juan March Institute has been integrated into the Social and Legal Sciences Library of the Carlos III University of Madrid since September 2013. In the University's catalog you can consult what used to be its collection of monographs and journals. >>>!!!>>>
The U.S. Bureau of Labor Statistics collects, analyzes, and publishes reliable information on many aspects of the United States economy and society. They measure employment, compensation, worker safety, productivity, and price movements. This information is used by jobseekers, workers, business leaders, and others to assist them in making sound decisions at work and at home. Statistical data covers a wide range of topics about the labor market, economy and society in the U.S.; subject areas include: Inflation & Prices, Employment, Unemployment, Pay & Benefits, Spending & Time Use, Productivity, Workplace Injuries, International, and Regional Resources. Data is available in multiple formats including charts and tables as well as Bureau of Labor Statistics publications.
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The Australian Data Archive (ADA) provides a national service for the collection and preservation of digital research data and to make these data available for secondary analysis by academic researchers and other users. Data are stored in seven sub-archives: Social Science, Historical, Indigenous, Longitudinal, Qualitative, Crime & Justice and International. Along with Australian data, ADA International is also a repository for studies by Australian researchers conducted in other countries, particularly throughout the Asia-Pacific region. The ADA International data catalogue includes links to studies from countries including New Zealand, Bangladesh, Cambodia, China, Indonesia, and several other countries. In 2017 the archive systems moved from the existing Nesstar platform to the new ADA Dataverse platform https://dataverse.ada.edu.au/
The Harvard Dataverse is open to all scientific data from all disciplines worldwide. It includes the world's largest collection of social science research data. It is hosting data for projects, archives, researchers, journals, organizations, and institutions.
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It is a platform (designed and developed by the National Informatics Centre (NIC), Government of India) for supporting Open Data initiative of Surat Municipal Corporation, intended to publish government datasets for public use. The portal has been created under Software as A Service (SaaS) model of Open Government Data (OGD) Platform, thus gives avenues for resuing datasets of the City in different perspective. This Portal has numerious modules; (a) Data Management System (DMS) for contributing data catalogs by various departments for making those available on the front end website after a due approval process through a defined workflow; (b) Content Management System (CMS) for managing and updating various functionalities and content types of Open Government Data Portal of Surat City; (c) Visitor Relationship Management (VRM) for collating and disseminating viewer feedback on various data catalogs; and (d) Communities module for community users to interact and share their zeal and views with others, who share common interests as that of theirs.