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Found 25 result(s)
The National Archives and Records Administration (NARA) is the nation's record keeper. Of all documents and materials created in the course of business conducted by the United States Federal government, only 1%-3% are so important for legal or historical reasons that they are kept by us forever. Those valuable records are preserved and are available to you, whether you want to see if they contain clues about your family’s history, need to prove a veteran’s military service, or are researching an historical topic that interests you.
The Eurac Research CLARIN Centre (ERCC) is a dedicated repository for language data. It is hosted by the Institute for Applied Linguistics (IAL) at Eurac Research, a private research centre based in Bolzano, South Tyrol. The Centre is part of the Europe-wide CLARIN infrastructure, which means that it follows well-defined international standards for (meta)data and procedures and is well-embedded in the wider European Linguistics infrastructure. The repository hosts data collected at the IAL, but is also open for data deposits from external collaborators.
The Carleton University Data Repository Dataverse is the research data repository for Carleton University. It is managed by the Data Services in the MacOdrum Library. The repository also houses the MacOdrum Library Dataverse Collection which contains numerous public opinion polls.
A data repository and social network so that researchers can interact and collaborate, also offers tutorials and datasets for data science learning. "data.world is designed for data and the people who work with data. From professional projects to open data, data.world helps you host and share your data, collaborate with your team, and capture context and conclusions as you work."
The SURF Data Repository is a user-friendly web-based data publication platform that allows researchers to store, annotate and publish research datasets of any size to ensure long-term preservation and availability of their data. The service allows any dataset to be stored, independent of volume, number of files and structure. A published dataset is enriched with complex metadata, unique identifiers are added and the data is preserved for an agreed-upon period of time. The service is domain-agnostic and supports multiple communities with different policy and metadata requirements.
EarthWorks is a discovery tool for geospatial (a.k.a. GIS) data. It allows users to search and browse the GIS collections owned by Stanford University Libraries, as well as data collections from many other institutions. Data can be searched spatially, by manipulating a map; by keyword search; by selecting search limiting facets (e.g., limit to a given format type); or by combining these options.
The University of Toronto Dataverse is a research data repository for our faculty, students, and staff. Files are held in a secure environment on Canadian servers. Researchers can choose to make content available publicly, to specific individuals, or to restrict access.
The range of CIRAD's research has given rise to numerous datasets and databases associating various types of data: primary (collected), secondary (analysed, aggregated, used for scientific articles, etc), qualitative and quantitative. These "collections" of research data are used for comparisons, to study processes and analyse change. They include: genetics and genomics data, data generated by trials and measurements (using laboratory instruments), data generated by modelling (interpolations, predictive models), long-term observation data (remote sensing, observatories, etc), data from surveys, cohorts, interviews with players.
A premier source for United States cancer statistics, SEER gathers information related to incidence, prevalence, and survival from specific geographic areas that represent 28 percent of the population, as well as compiles related reports and reports on the national cancer mortality rates. Their aim is to provide information related to cancer statistics and decrease the burden of cancer in the national population. SEER has been collecting data from cancer cases since 1973.
Welcome to Smithsonian Open Access, where you can download, share, and reuse millions of the Smithsonian’s images—right now, without asking. With new platforms and tools, you have easier access to nearly 3 million 2D and 3D digital items from our collections—with many more to come. This includes images and data from across the Smithsonian’s 19 museums, nine research centers, libraries, archives, and the National Zoo.
The IMLS conducts annual surveys of public and state libraries in the US that have response rates near 100%. Data is compiled for states, library systems, and individual library branches and includes statistics for circulation, visits, staff, expenditures, and more. Data is available in two formats: MS Access and flat file, plain text. Data for museums is now included.
The Abacus Data Network is a data repository collaboration involving Libraries at Simon Fraser University (SFU), the University of British Columbia (UBC), the University of Northern British Columbia (UNBC) and the University of Victoria (UVic).
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Lingnan Dataverse serves as an institutional research data repository for Lingnan University in Hong Kong. It provides a secure platform for the Lingnan research community to deposit, share, and publish their research datasets, and supports data reuse by the global research community.
The National Archives of the Netherlands (Nationaal Archief), which is situated in The Hague, holds over 3.5 million records that have been created by the central government, organisations and individuals and are of national significance. Many records relate to the colonial and trading history of the Netherlands in the period from 1600 to 1975. The Dutch presence in countries in North and South America, Africa and Asia is reflected within these collections.
A collection of data at Agency for Healthcare Research and Quality (AHRQ) supporting research that helps people make more informed decisions and improves the quality of health care services. The portal contains U.S.Health Information Knowledgebase (USHIK) and Systematic Review Data Repository (SRDR) and other sources concerning cost, quality, accesibility and evaluation of healthcare and medical insurance.
The Mexican Health and Aging Study (MHAS) started as a prospective panel study of health and aging in Mexico. MHAS is nationally representative of the 13 million Mexicans born prior to 1951. The survey has national and urban/rural representation. The baseline survey, in 2001, included a nationally representative sample of Mexicans aged 50 and over and their spouse/partners regardless of their age. A direct interview was sought with each individual and proxy interviews were obtained when poor health or temporary absence precluded a direct interview. The sample was distributed in all 32 states of the country in urban and rural areas. Households in the six states which account for 40% of all migrants to the U.S. were over-sampled. A sub-sample was selected to obtain anthropometric measures.
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TUdatalib is the institutional repository of the TU Darmstadt for research data. It enables the structured storage of research data and descriptive metadata, long-term archiving (at least 10 years) and, if desired, the publication of data including DOI assignment. In addition there is a fine granular rights and role management.
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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.
BBMRI-ERIC is a European research infrastructure for biobanking. We bring together all the main players from the biobanking field – researchers, biobankers, industry, and patients – to boost biomedical research. To that end, we offer quality management services, support with ethical, legal and societal issues, and a number of online tools and software solutions. Ultimately, our goal is to make new treatments possible. The Directory is a tool to share aggregate information about the biobanks that are willing external collaboration. It is based on the MIABIS 2.0 standard, which describes the samples and data in the biobanks at an aggregated level.
UNAVCO promotes research by providing access to data that our community of geodetic scientists uses for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. After processing, these data enable millimeter-scale surface motion detection and monitoring at discrete points, and high-resolution strain imagery over areas of tens of square meters to hundreds of square kilometers. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.
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REDU is the institutional open research data repository of the University of Campinas, Brazil. It contains research data produced by all research groups of the University, in a wide range of scientific domains, which are indexed by DataCite DOI. Created at the end of 2020, it is coordinated by a scientific and technical committee composed by data librarians, IT professionals, and scientists representing user groups. Implemented on top of Dataverse, it exports metadata using OAIS. Files with sensitive content (due to ethics or legal constraints) are not stored therein - rather, only their metadata is recorded in REDU, as well as contact information so that interested researchers can contact the persons responsible for the files for conditional subsequent access. It is being little by little populated, following the University's Open Science policies.
The scores and libretti in this Virtual Collection include first and early editions and manuscript copies of music from the eighteenth and early nineteenth centuries by J.S. Bach and Bach family members, Mozart, Schubert and other composers, as well as multiple versions of nineteenth century opera scores, seminal works of musical modernism, and music of the Second Viennese School. Many, such as variant editions of nineteenth century operas and related libretti, fall into intellectually related sets that are meant to be seen and used together. As a group, they give scholars a window into the study of historical performance practice that cannot be duplicated using the holdings of any one other library.
The National Library of Scotland was formally constituted by an Act of Parliament in 1925 and is one of six libraries covered by the UK legal deposit system. The Library is Scotland's national archive for published and other literary heritage materials. One of our primary responsibilities is to safeguard the collections for future generations. Our collections care facility is recognised nationally and internationally as a centre of excellence for the preservation and conservation of library materials. NLS includes "Data Foundry", data collections from the National Library of Scotland.
UM Dataverse is part of the Dataverse Project conceived of by Harvard University. It is an open source repository to assist researchers in the creation, management and dissemination of their research data. UM Dataverse allows for the creation of multiple collaborative environments containing datasets, metadata and digital objects. UM Dataverse provides formal scholarly data citations and can help with data requirements from publishers and funders.