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Found 15 result(s)
The Comparative Welfare Entitlements Dataset (CWED) contains information about the structure and generosity of social insurance benefits in 33 countries around the world. The data contained here are an updated and extended version of CWED 1, which has been available since 2004. This web site allows you to download customized portions of the CWED 2 data, browse the Working Paper Series or access documentary material. For recent updates to this dataset, please see https://www.cwep.us/
The Scientific Data Repository Hosting Service (SARDC) intends to provide a platform for free access to data created and used in the scope of the research work of national institutions. It is characterized by the availability of a repository platform ( DSpace ) and support for the entire data maintenance component, such as backups, monitoring, updating, security, etc., thus keeping researchers out of the concern of these tasks. Finally, the SARDC service intends to make the data deposited in the repository available through the RCAAP Portal.
Country
The Portal is intended to be used as catalog of datasets published by ministries/ department/ organizations of Government of India for public use, in order to enhance transparency in the functioning of the Government as well as to make innovative visualization of dataset. This National Data Portal is being updated frequently to make it as accessible as possible and completely accessible to all irrespective of physical challenges or technology.
Country
The sources of the data sets include data sets donated by researchers, surveys carried out by SRDA, as well as by government department and other academic organizations. Prior to the release of data sets, the confidentiality and sensitivity of every survey data set are evaluated. Standard data management and cleaning procedures are applied to ensure data accuracy and completeness. In addition, metadata and relevant supplement files are also edited and attached.
Country
NB-IRDT is expanding research potential through pseudonymised, linkable data sets. Our repository includes a growing collection to meet diverse research needs. We only host pseudonymous data in the NB-IRDT repository. NB-IRDT also offers public use data sets, which consist of de-identified data that is publicly accessible. All our data can be accessed in the NB-IRDT lab spaces.
Country
Loyalist Migrations is a partnership between the United Empire Loyalist Association of Canada (UELAC), Huron University College’s Community History Centre, and Western Libraries’ Map and Data Centre. Our researchers use the genealogical records of the UELAC as well as other archival sources to reconstruct the migrations of thousands of exiles, refugees, economic migrants, settlers, and soldiers from all walks of life who fled the American Revolution. Not all migrants called themselves Loyalists and it is not the intention of this project to ascribe political motivations for their journeys. The migrations included a diverse array of settlers, Indigenous people, and African Americans who embarked on their journeys, willingly or forced, in search of safety and security in lands claimed by the British Empire.
Country
From April 2020 to March 2023, the Covid-19 Immunity Task Force (CITF) supported 120 studies to generate knowledge about immunity to SARS-CoV-2. The subjects addressed by these studies include the extent of SARS-CoV-2 infection in Canada, the nature of immunity, vaccine effectiveness and safety, and the need for booster shots among different communities and priority populations in Canada. The CITF Databank was developed to further enhance the impact of CITF funded studies by allowing additional research using the data collected from CITF-supported studies. The CITF Databank centralizes and harmonizes individual-level data from CITF-funded studies that have met all ethical requirements to deposit data in the CITF Databank and have completed a data sharing agreement. The CITF Databank is an internationally unique resource for sharing epidemiological and laboratory data from studies about SARS-CoV-2 immunity in different populations. The types of research that are possible with data from the CITF Databank include observational epidemiological studies, mathematical modelling research, and comparative evaluation of surveillance and laboratory methods.
Country
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.
Country
Kinsources is an open and interactive platform to archive, share, analyze and compare kinship data used in scientific research. Kinsources is not just another genealogy website, but a peer-reviewed repository designed for comparative and collaborative research. The aim of Kinsources is to provide kinship studies with a large and solid empirical base. Kinsources combines the functionality of communal data repository with a toolbox providing researchers with advanced software for analyzing kinship data. The software Puck (Program for the Use and Computation of Kinship data) is integrated in the statistical package and the search engine of the Kinsources website. Kinsources is part of a research perspective that seeks to understand the interaction between genealogy, terminology and space in the emergence of kinship structures. Hosted by the TGIR HumaNum, the platform ensures both security and free access to the scientific data is validated by the research community.
As 3D and reality capture strategies for heritage documentation become more widespread and available, there has emerged a growing need to assist with guiding and facilitating accessibility to data, while maintaining scientific rigor, cultural and ethical sensitivity, discoverability, and archival standards. In response to these areas of need, The Open Heritage 3D Alliance (OHA) has developed as an advisory group governing the Open Heritage 3D initiative. This collaborative advisory group are among some of the earliest adopters of 3D heritage documentation technologies, and offer first-hand guidance for best practices in data management, sharing, and dissemination approaches for 3D cultural heritage projects. The founding members of the OHA, consist of experts and organizational leaders from CyArk, Historic Environment Scotland, and the University of South Florida Libraries, who together have significant repositories of legacy and on-going 3D research and documentation projects. These groups offer unique insight into not only the best practices for 3D data capture and sharing, but also have come together around concerns dealing with standards, formats, approach, ethics, and archive commitment. Together, the OHA has begun the journey to provide open access to cultural heritage 3D data, while maintaining integrity, security, and standards relating to discoverable dissemination. Together, the OHA will work to provide democratized access to primary heritage 3D data submitted from donors and organizations, and will help to facilitate an operation platform, archive, and organization of resources into the future.
Country
The Repositori Ilmiah Nasional (RIN) is a means for storing, preserving, citing, analyzing and sharing research data. RIN acts as an online media in managing, storing and sharing research data. Researchers, data writers, publishers, data distributors, and affiliated institutions all receive academic credit and web visibility. Researchers, agencies, and funders have full control over research data.
The Centre’s vision is a rural transformation in the developing world as smallholder households strategically increase their use of trees in agricultural landscapes to improve their food security, nutrition, income, health, shelter, social cohesion, energy resources and environmental sustainability. The Centre’s mission is to generate science-based knowledge about the diverse roles that trees play in agricultural landscapes, and to use its research to advance policies and practices, and their implementation, that benefit the poor and the environment.