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Found 39 result(s)
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.
DataON is Korea's National Research Data Platform. It provides integrated search of metadata for KISTI's research data and domestic and international research data and links to raw data. DataON allows users (researchers, policy makers, etc.) to perform the following tasks: Easily search for various types of research data in all scientific fields. By registering research results, research data can be posted and cited. Build a community among researchers and enable collaborative research. It provides a data analysis environment that allows one-stop analysis of discovered research data.
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Lithuanian Data Archive for Social Sciences and Humanities (LiDA) is a virtual digital infrastructure for SSH data and research resources acquisition, long-term preservation and dissemination. All the data and research resources are documented in both English and Lithuanian according to international standards. Access to the resources is provided via Dataverse repository. LiDA curates different types of resources and they are published into catalogues according to the type: Survey Data, Aggregated Data (including Historical Statistics), Encoded Data (including News Media Studies), and Textual Data. Also, LiDA holds collections of social sciences and humanities data deposited by Lithuanian science and higher education institutions and Lithuanian state institutions (Data of Other Institutions). LiDA is hosted by the Centre for Data Analysis and Archiving of Kaunas University of Technology (data.ktu.edu).
The National Science Digital Library provides high quality online educational resources for teaching and learning, with current emphasis on the sciences, technology, engineering, and mathematics (STEM) disciplines—both formal and informal, institutional and individual, in local, state, national, and international educational settings. The NSDL collection contains structured descriptive information (metadata) about web-based educational resources held on other sites by their providers. These providers have contribute this metadata to NSDL for organized search and open access to educational resources via this website and its services.
TiU Dataverse is the central online repository for research data at Tilburg University. The TiU Dataverse is managed by the Research Data Office (RDO) at Library and IT Services (LIS). TiU Dataverse takes part of the DataverseNL network. DataverseNL is a shared data service of several Dutch universities and institutions. The data management is in the hands of the member organizations, while the national organization Data Archiving and Networked Services (DANS) manages the network
The Henry A. Murray Research Archive is Harvard's endowed, permanent repository for quantitative and qualitative research data at the Institute for Quantitative Social Science, and provides physical storage for the entire IQSS Dataverse Network. Our collection comprises over 100 terabytes of data, audio, and video. We preserve in perpetuity all types of data of interest to the research community, including numerical, video, audio, interview notes, and other data. We accept data deposits through this web site, which is powered by our Dataverse Network software
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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.
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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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Arquivo.pt is a research infrastructure that preserves millions of files collected from the web since 1996 and provides a public search service over this information. It contains information in several languages. Periodically it collects and stores information published on the web. Then, it processes the collect data to make it searchable, providing a “Google-like” service that enables searching the past web (English user interface available at https://arquivo.pt/?l=en). This preservation workflow is performed through a large-scale distributed information system and can also accessed through API (https://arquivo.pt/api).
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The Digital Repository of Ireland (DRI) is a national trusted digital repository (TDR) for Ireland’s social and cultural data. We preserve, curate, and provide sustained access to a wealth of Ireland’s humanities and social sciences data through a single online portal. The repository houses unique and important collections from a variety of organisations including higher education institutions, cultural institutions, government agencies, and specialist archives. DRI has staff members from a wide variety of backgrounds, including software engineers, designers, digital archivists and librarians, data curators, policy and requirements specialists, educators, project managers, social scientists and humanities scholars. DRI is certified by the CoreTrustSeal, the current TDR standard widely recommended for best practice in Open Science. In addition to providing trusted digital repository services, the DRI is also Ireland’s research centre for best practices in digital archiving, repository infrastructures, preservation policy, research data management and advocacy at the national and European levels. DRI contributes to policy making nationally (e.g. via the National Open Research Forum and the IRC), and internationally, including European Commission expert groups, the DPC, RDA and the OECD.
The Constituency-Level Elections Archive (CLEA) is a repository of detailed election results at the constituency level for lower house legislative elections from around the world. Our motivation is to preserve and consolidate these valuable data in one comprehensive and reliable resource that is ready for analysis and publicly available at no cost. This public good is expected to be of use to a range of audiences for research, education, and policy-making.
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.
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DATICE was established in late 2018 and is funded by the University of Iceland's (UI) School of Social Sciences, with a contribution from the university's Centennial Fund. DATICE is the appointed service provider for the Consortium of European Social Science Data Archives (CESSDA ERIC) in Iceland and is located within the UI Social Science Research Institute (SSRI). The main goal of the data service is to ensure open and free access to high quality research data for the research community as well as the general public.
The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national panel database of micro data on health, socio-economic status and social and family networks of more than 140,000 individuals (approximately 530,000 interviews) aged 50 or over from 28 European countries and Israel.
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DataDOI is an institutional research data repository managed by University of Tartu Library. DataDOI gathers all fields of research data and stands for encouraging open science and FAIR (Findable, Accessible, Interoperable, Reusable) principles. DataDOI is made for long-term preservation of research data. Each dataset is given a DOI (Digital Object Identifier) through DataCite Estonia Concortium.
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.