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Found 41 result(s)
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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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India Votes is India's largest public elections resource. It covers all Lok Sabha elections since 1952 and all State elections since 1977. IndiaVotes already has data on over 200 national as well as state elections and will be enriched with inputs from users. Even though election data is available online, it is not easily searchable or cannot be consumed in structured formats necessary for analysis. IndiaVotes aims to become the open-source equivalent and Wikipedia of election information in India.
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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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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.
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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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This Open GIS Data Portal provides residents, visitors, business owners and investors a means to easily find, access and view information through the use of maps and mapping technology.
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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.
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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Varieties of Democracy (V-Dem) is a new approach to conceptualizing and measuring democracy. We provide a multidimensional and disaggregated dataset that reflects the complexity of the concept of democracy as a system of rule that goes beyond the simple presence of elections. The V-Dem project distinguishes between five high-level principles of democracy: electoral, liberal, participatory, deliberative, and egalitarian, and collects data to measure these principles.
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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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Open Data reflects a commitment to open, accountable and transparent government. Open Data is a practice that makes data/information freely available to everyone to use and republish.
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The Centre conducts real-time data collection on all ongoing and incoming General and Assembly Elections, and diffuses data-driven analysis through print and electronic media. The coverage includes the analysis, contextualization, and visualisation of results and the profiling of main parties candidates. For each election, we assemble a team of field researchers and scholars to complete and expand existing data. Besides the ECI results data, we collect information on the socio-demographic profile of main parties’ candidates and on the sociological profile of constituencies.
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.
Cell phones have become an important platform for the understanding of social dynamics and influence, because of their pervasiveness, sensing capabilities, and computational power. Many applications have emerged in recent years in mobile health, mobile banking, location based services, media democracy, and social movements. With these new capabilities, we can potentially be able to identify exact points and times of infection for diseases, determine who most influences us to gain weight or become healthier, know exactly how information flows among employees and productivity emerges in our work spaces, and understand how rumors spread. In an attempt to address these challenges, we release several mobile data sets here in "Reality Commons" that contain the dynamics of several communities of about 100 people each. We invite researchers to propose and submit their own applications of the data to demonstrate the scientific and business values of these data sets, suggest how to meaningfully extend these experiments to larger populations, and develop the math that fits agent-based models or systems dynamics models to larger populations. These data sets were collected with tools developed in the MIT Human Dynamics Lab and are now available as open source projects or at cost.
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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.
CAPE began as a collection of UK local governments' Climate Action Plans, and has expanded to include a number of useful datapoints around climate, carbon emissions and local government. The Climate Action Plan Explorer collects UK Council Climate Action Plans in a single database, alongside some data on area emissions estimates within the scope of influence of councils. It allows anyone to quickly and easily find out if their council has a plan, and put those plans into context.
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions. The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
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This data archive of experiments studying the dynamics of pedestrians is build up by the Institute for Advanced Simulation 7: Civil Safety Research of Forschungszentrum Jülich. The landing page provides our own data of experiments. Data of research colleagues are listed within the data archive at https://ped.fz-juelich.de/extda For most of the experiments, the video recordings, as well as the resulting trajectories of single pedestrians, are available. The experiments were performed under laboratory conditions to focus on the influence of a single variable. You are very welcome to use our data for further research, as long as you name the source of the data. If you have further questions feel free to contact Maik Boltes.
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The objective of the PDRC is to construct and collect a well-designed and large-scale panel data set and provide rigorous empirical studies based on these data sets. The data will enable us (i) to provide international comparisons and fact-findings on the household income changes, social mobility, changes in employment status and the investment activities; (ii) to verify the hypotheses related to the dynamics of economic behavior derived from economic theory; and (iii) to evaluate important policy changes in the tax system and social security program, which might have lagged effects.
Pandora is an open data platform devoted to the study of the human story. Data may be deposited from various disciplines and research topics that investigate humans from their early beginnings until present in addition to their environmental context (e.g. archeology, anthropology history, ancient DNA, isotopes, zooarchaeology, archaeobotany, and paleoenvironmental and paleoclimatic studies, etc.). Pandora allows autonomous data communities to self-manage their webspace and community membership. Data communities self-curate their data plus other supporting resources. Datasets may be assigned a new DOI and a schema markup is employed to improve data findability. Pandora also allows for links to datasets stored externally and having previously assigned DOIs. Through this, it becomes possible to establish data networks devoted to specific topics that may combine a mix of datasets stored either within Pandora or externally.