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Found 110 result(s)
<<<!!!<<< The repository is no longer available. 2018-11-20; COMPASS used to be provided and available at FORS but is no longer supported. >>>!!!>>>
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.
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EGO examines 500 years of modern European history by transcending national, disciplinary and methodological boundaries. Ten thematic threads tie together processes of intercultural exchange whose influence extended beyond national and cultural borders. These range from religion, politics, science and law to art and music, as well as to the economy, technology and the military. EGO employs the newest research to present European transfer processes comprehensively in a way that is easy to understand. The articles link to images, sources, statistics, animated and interactive maps, and audio and visual clips. EGO thereby takes full advantage of the Internet's multi-media potential.
FRED is an online database consisting of hundreds of thousands of economic data time series from scores of national, international, public, and private sources. FRED, created and maintained by the Research Department at the Federal Reserve Bank of St. Louis, goes far beyond simply providing data: It combines data with a powerful mix of tools that help the user understand, interact with, display, and disseminate the data. In essence, FRED helps users tell their data stories.
DataFirst's open research data repository, based at the University of Cape Town, gives open access to disaggregated administrative and survey data from African governments and research entities. DataFirst also operates a secure centre at the university to give researchers access to highly-disaggregated South African data.
The Open Science Framework (OSF) is part network of research materials, part version control system, and part collaboration software. The purpose of the software is to support the scientist's workflow and help increase the alignment between scientific values and scientific practices. Document and archive studies. Move the organization and management of study materials from the desktop into the cloud. Labs can organize, share, and archive study materials among team members. Web-based project management reduces the likelihood of losing study materials due to computer malfunction, changing personnel, or just forgetting where you put the damn thing. Share and find materials. With a click, make study materials public so that other researchers can find, use and cite them. Find materials by other researchers to avoid reinventing something that already exists. Detail individual contribution. Assign citable, contributor credit to any research material - tools, analysis scripts, methods, measures, data. Increase transparency. Make as much of the scientific workflow public as desired - as it is developed or after publication of reports. Find public projects here. Registration. Registering materials can certify what was done in advance of data analysis, or confirm the exact state of the project at important points of the lifecycle such as manuscript submission or at the onset of data collection. Discover public registrations here. Manage scientific workflow. A structured, flexible system can provide efficiency gain to workflow and clarity to project objectives, as pictured.
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The National Data Archive has been disseminating microdata from surveys and censuses primarily under the Ministry of Statistics and Programme Implementation (MoSPI), Government of India. The archive is powered by the National Data Archive (NADA, ver. 4.3) software with DDI Metadata standard. It serves as a portal for researchers to browse, search, and download relevant datasets freely; even with related documentation (viz. survey methodology, sampling procedures, questionnaires, instructions, survey reports, classifications, code directories, etc). A few data files require the user to apply for approval to access with no charge. Currently, the archive holds more than 144 datasets of the National Sample Surveys (NSS), Annual Survey of Industries (ASI), and the Economic Census as available with the Ministry. However, efforts are being made to include metadata of surveys conducted by the State Governments and other government agencies.
The United Nations Data (UND) site provides access to 32 databases and over 60million records. UN Statistical Databases include datasets on Energy Statistics, International Finances, The State of the World’s Children, and World Contraceptive Use; among many other global social, environmental and economic subjects.
Knoema is a knowledge platform. The basic idea is to connect data with analytical and presentation tools. As a result, we end with one uniformed platform for users to access, present and share data-driven content. Within Knoema, we capture most aspects of a typical data use cycle: accessing data from multiple sources, bringing relevant indicators into a common space, visualizing figures, applying analytical functions, creating a set of dashboards, and presenting the outcome.
The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained. A second objective is to study the effects of Quality of Government on a number of policy areas, such as health, the environment, social policy, and poverty.
Maddison's work contains the Project Dataset with estimates of GDP per capita for all countries in the world between 1820 and 2010 in a format amenable to analysis in R. The database was last updated in January 2013. The update incorporates much of the latest research in the field, and presents new estimates of economic growth in the world economic between AD 1 and 2010 The Maddison Project database presented builts on Angus Maddison's original dataset. The original estimates are kept intact, and only revised or adjusted when there is more and better information available. Angus Maddison's unaltered final dataset remains available on the Original Maddison Homepage https://www.rug.nl/ggdc/historicaldevelopment/maddison/original-maddison
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The “ICSSR Data Service” is culmination of signing of Memorandum of Understanding (MoU) between Indian Council of Social Science Research (ICSSR) and Ministry of Statistics and Programme Implementation (MoSPI). The MoU provides for setting-up of “ICSSR Data Service: Social Science Data Repository” and host NSS and ASI datasets generated by MoSPI. Under the initiative, social science research institutes, NGOs, individuals and others dealing with social science research are also being approached to deposit / provide their research datasets for hosting into the repository of ICSSR Data Service. The ICSSR Data Service includes social science and statistical datasets of various national-level surveys on debt & investment, domestic tourism, enterprise survey, employment and unemployment, housing condition, household consumer expenditure, health care, etc., into its repository. ICSSR Data Service aims to facilitate data sharing, preservation, accessibility and reuse of social science research data collected from entire social science community in India & abroad. The Information and Library Network (INFLIBNET) Centre, Gandhinagar has been assigned the task of setting-up the data repository.
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The GIGA (German Institute of Global and Area Studies) researchers generate a large number of qualitative and quantitative research data. On this page you will find descriptions of this research data ("metadata") as well as information about the available access options. To facilitate its reuse, and to enhance research transparency, a large part of the GIGA research data is published in datorium, a repository hosted by the GESIS Leibniz Institute for the Social Sciences: https://www.re3data.org/repository/r3d100011062 Our objective is to offer free access to as much of our data as possible, to guarantee the possibility of its citation, and to secure its safe storage. Metadata of research data that cannot be published open access due to its sensitivity is also shown on this page.
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The Universidad del Rosario Research data repository is an institutional iniciative launched in 2019 to preserve, provide access and promote the use of data resulting from Universidad del Rosario research projects. The Repository aims to consolidate an online, collaborative working space and data-sharing platform to support Universidad del Rosario researchers and their collaborators, and to ensure that research data is available to the community, in order to support further research and contribute to the democratization of knowledge. The Research data repository is the heart of an institutional strategy that seeks to ensure the generation of Findable, Accessible, Interoperable and Reusable (FAIR) data, with the aim of increasing its impact and visibility. This strategy follows the international philosophy of making research data “as open as possible and as closed as necessary”, in order to foster the expansion, valuation, acceleration and reusability of scientific research, but at the same time, safeguard the privacy of the subjects. The platform storage, preserves and facilitates the management of research data from all disciplines, generated by the researchers of all the schools and faculties of the University, that work together to ensure research with the highest standards of quality and scientific integrity, encouraging innovation for the benefit of society.
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The purpose of the Canadian Urban Data Repository (CUDR) is to provide a “home” for urban datasets. While primarily focused on datasets created by academe, it will also contain datasets created by NGOs, governments, citizens, and industry. Datasets stored in the repository will be open-access and will not contain personally identifiable information. The purpose of the Canadian Urban Data Catalogue (CUDC) is to enhance the awareness of urban datasets that exist across Canada by providing a catalogue of Canadian and Canadian-created urban datasets. It will catalogue datasets available in CUDR and external datasets available on other platforms and as web services. These external datasets may be open or closed. CUDC uses a rich metadata model that supports the documentation and search for datasets relevant to a user’s needs. Catalogue entry metadata may be exported and imported from/to CUDC.
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<<<!!!<<< This repository is no longer available. >>>!!!>>> The Duanaire project borrows the Irish word for song-book or anthology (loosely, a 'treasury'), to convey the sense of a rich, varied corpus handed down and explored anew. This project, led by Dr Aidan Kane (economics at NUI Galway), will open up a wealth of Irish economic history data, and in particular, Irish fiscal history data, by making accessible online a range of datasets in flexible forms to diverse audiences. The project is constructing a unique infrastructure for the imaginative curation, exploration, and sharing of significant tranches of Irish economic history data.
Eurostat is the statistical office of the European Union situated in Luxembourg. Its task is to provide the European Union with statistics at European level that enable comparisons between countries and regions. Eurostat offers a whole range of important and interesting data that governments, businesses, the education sector, journalists and the public can use for their work and daily life.
AidData contains information about international economic development assistance, dating back to 1947. AidData provides a searchable database of nearly one million past and present aid activities around the world, aid information management services and tools, data visualization technologies, and research designed to increase understanding of development finance. AidData is searchable by topic such as disaster prevention, energy supply, water supply or reconstruction relief. You may also search by specific regions including Africa, Europe, America, Asia, or Oceania.
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As a center for scientific research and evidence-based policy advice, RWI requires an effective econometric infrastructure. The increased use of individual and firm data also requires effective regulations and tools for data protection. The research division’s objectives are to advise RWI researchers in methodical questions, to develop new econometric approaches to solve concrete research questions, and to ensure data protection.