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Found 44 result(s)
The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is a team of researchers, data specialists and computer system developers who are supporting the development of a data management system to store scientific data generated by Gulf of Mexico researchers. The Master Research Agreement between BP and the Gulf of Mexico Alliance that established the Gulf of Mexico Research Initiative (GoMRI) included provisions that all data collected or generated through the agreement must be made available to the public. The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is the vehicle through which GoMRI is fulfilling this requirement. The mission of GRIIDC is to ensure a data and information legacy that promotes continual scientific discovery and public awareness of the Gulf of Mexico Ecosystem.
The centerpiece of the Global Trade Analysis Project is a global data base describing bilateral trade patterns, production, consumption and intermediate use of commodities and services. The GTAP Data Base consists of bilateral trade, transport, and protection matrices that link individual country/regional economic data bases. The regional data bases are derived from individual country input-output tables, from varying years.
The GHDx is our user-friendly and searchable data catalog for global health, demographic, and other health-related datasets. It provides detailed information about datasets ranging from censuses and surveys to health records and vital statistics, globally. It also serves as a platform for data owners to share their data with the public. The GDB Compare visualization, which allows the user to see rate of change in disease incidence, globally or by country, by age or across all ages, is especially powerful as a tool. Be sure to try adding a bottom chart, like the map, to augment the treemap that loads by default in the top chart.
TÁRKI Social Research Institute is an independent, employee-owned research organisation that specialises in policy research in the fields of social policy and the social consequences of economic policies. This includes related data-collection, archiving and statistical activities. We recently increased our involvement in the areas of strategic market research and health policy analysis. In addition, we regularly contribute to basic research, in the areas of social stratification and inequality, and to the methodology of empirical social research.
The UC San Diego Library Digital Collections website gathers two categories of content managed by the Library: library collections (including digitized versions of selected collections covering topics such as art, film, music, history and anthropology) and research data collections (including research data generated by UC San Diego researchers).
The Data and Service Center for the Humanities (DaSCH) is an institution of the Swiss Academy of Humanities and Social Sciences (SAHSS) financed by the State Secretariat for Eduction, Research and Innovation (SERI). The primary goals of the DaSCH are - Preservation of research data in the humanities and their long-term data curation. - Ensuring permanent access to research data in order to make it available for further research and thus facilitating the reuse of existing research data in future research. - Providing services for researchers to assist them with the data life cycle management. - Encouraging the digital networking of databases created in Switzerland or in other countries. - Collaboration and networking with other institutions on digital literacy. The services of the DaSCH are available to all researchers and projects in Switzerland which work in the the domain of the Humanities and have to deal with digital information as well to other research institutions in Switzerland.
The UWA Research Repository contains research publications, research datasets and theses created by researchers and postgraduates affiliated with UWA. It is managed by the University Library and provides access to research datasets held at the University of Western Australia. The information about each dataset has been provided by UWA research groups. Dataset metadata is harvested into Research Data Australia (RDA: Language: The user interface language of the research data repository.
THIN has created a medical research database of anonymised patient records from information entered by general practices in their ViSion systems. THIN will supply anonymised data (with the identities of patients and practices fully protected) to approved researchers for drug safety and epidemiological studies. Such research will be approved by the appropriate ethics/scientific committee. The anonymised patient data will be collected from the practice's Vision clinical system, with the help of In Practice Systems, on a regular basis without interruption to the running of the system. CSD Medical Research UK can supply non-interventional, anonymised, longitudinal patient data for UK, France, Italy, Germany, Spain, Belgium and Australia. Data for the USA will be available in the near future.
D-PLACE contains cultural, linguistic, environmental and geographic information for over 1400 human ‘societies’. A ‘society’ in D-PLACE represents a group of people in a particular locality, who often share a language and cultural identity. All cultural descriptions are tagged with the date to which they refer and with the ethnographic sources that provided the descriptions. The majority of the cultural descriptions in D-PLACE are based on ethnographic work carried out in the 19th and early-20th centuries (pre-1950).
Open Research Data provides quality assessed data and their metadata such as context information on measurement objectives, equipment, methods, testing and investigation areas. The purpose of the repository is to secure quality, integrity and long-term availability of landscape and ecosystem research data as well as to enhance accessibility of free data from ZALF long-term monitoring campaigns, landscape laboratories (Agro-ScapeLabs), field trials and experiments. The Leibniz Centre for Agricultural Landscape Research (ZALF) explores ecosystems in agricultural landscapes and the development of ecologically and economically viable land use systems. ZALF combines scientific expertise from agricultural science, geosciences, biosciences and socio-economics.
NC OneMap is a public service providing comprehensive discovery and access to North Carolina's geospatial data resources. NC OneMap, the State's Clearinghouse for geospatial information, relies on data sharing and partnerships.
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.
The Estonian Social Science Data Archive (ESSDA) contains Estonian Social science data and survey data, as well as university publications and Estonian radio archival materials.
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. A unique feature of Edmond is the dedicated metadata management, which supports a non-restrictive metadata schema definition, as simple as you like or as complex as your parameters require. Further on, all objects within Edmond have a unique identifier and therefore can be clearly referenced in publications or reused in other contexts.
As Germany’s first disciplinary repository in the field of international and interdisciplinary legal scholarship <intR>²Dok offers to all academic scholars currently affiliated with a university, college or research institute the opportunity to self-archive their quality-assured research data, research papers, pre-prints and previously published articles by means of open access. The disciplinary repository <intR>²Dok is a service offer provided by the Scientific Information Service for International and Interdisciplinary Legal Research (Fachinformationsdienst für internationale und interdisziplinäre Rechtsforschung) established at Berlin State Library (Staatsbibliothek zu Berlin) and funded by the German Research Foundation (Deutsche Forschungsgemeinschaft).
EASY is the online archiving system of Data Archiving and Networked Services (DANS). EASY offers you access to thousands of datasets in the humanities, the social sciences and other disciplines. EASY can also be used for the online depositing of research data.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, documents or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. In the following cases, a direct data upload into the ETH Data Archive though, has to be considered: - Upload and registration of software code according to ETH transfer’s requirements for Software Disclosure. - A substantial number of files, have to be regularly submitted for long-term archiving and/or publishing and browser-based upload is not an option: the ETH Data Archive may offer automated data and metadata transfers from source applications (e.g. from a LIMS) via API. - Files for a project on a local computer have to be collected and metadata has to be added before uploading the data to the ETH Data Archive: -- we provide you with the local file editor docuteam packer. Docuteam packer allows to structure, describe, and organise data for an upload into the ETH Data Archive and the depositor decides when submission is due.
The figshare service for The Open University was launched in 2016 and allows researchers to store, share and publish research data. It helps the research data to be accessible by storing metadata alongside datasets. Additionally, every uploaded item receives a Digital Object Identifier (DOI), which allows the data to be citable and sustainable. If there are any ethical or copyright concerns about publishing a certain dataset, it is possible to publish the metadata associated with the dataset to help discoverability while sharing the data itself via a private channel through manual approval.
The Slovenian Social Science Data Archives (Slovenski Arhiv Družboslovnih 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.
It is a statistical system developed for collection, computerization, analysis and use of educational and allied data for planning, management, monitoring and feedback. So, DISE is an initiative of the Department of Educational Management Information System (EMIS) of NUEPA for developing and strengthening the educational management information system in India. The initiative is coordinated from district level to state and extended up to national level are being constantly collected and disseminated. It provides information on vital parameters relating to students, teachers and infrastructure at all levels of education in India. Presently DISE has three modules U-DISE, DISE, and SEMIS. DISE also provides several other derivative statistical products, such as, District Report Cards, State Report Cards, School Report Cards, Flash Statistics, Analytical Reports, Rural/Urban Statistics, etc.
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 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 Measures of Effective Teaching(MET) project is the largest study of classroom teaching ever conducted in the United States. The University of Michigan compiled the MET data and video files into a rich research collection called the MET Longitudinal Database. Approved researchers can access the restricted MET quantitative and video data using secure online technical systems. The MET Longitudinal Database consists of a Web-based application for searching the collection and viewing the videos with accompanying metadata, and a Virtual Data Enclave that provides secure remote access to the quantitative data and documentation files.