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Found 38 result(s)
The Wilson Center Digital Archive contains once-secret documents from governments all across the globe, uncovering new sources and providing fresh insights into the history of international relations and diplomacy. It contains newly declassified historical materials from archives around the world—much of it in translation and including diplomatic cables, high level correspondence, meeting minutes and more. It collects the research of three Wilson Center projects which focus on the interrelated histories of the Cold War, Korea, and Nuclear Proliferation.
The Health and Medical Care Archive (HMCA) is the data archive of the Robert Wood Johnson Foundation (RWJF), the largest philanthropy devoted exclusively to health and health care in the United States. Operated by the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan, HMCA preserves and disseminates data collected by selected research projects funded by the Foundation and facilitates secondary analyses of the data. Our goal is to increase understanding of health and health care in the United States through secondary analysis of RWJF-supported data collections
AUSSDA - The Austrian Social Science Data Archive (AUSSDA) is a core social science research infrastructure in Austria, offering research data and archiving services. It is located at the Universities of Vienna, Graz, and Linz and is funded by the Austrian Federal Ministry of Science, Research and Economy (BMWFW). AUSSDA strives to become the leading research infrastructure for the social sciences in Austria, offering high quality, sustainable, and easy-to-use solutions for archiving digital data, along with world-wide access to it. The archive follows international standards in order to make deposited social science data and documentation findable, accessible, interoperable and reusable. AUSSDA is active in a growing network of national and international partners, promoting high archiving standards and contributing to archive solutions of the future. Our collection covers all social science data. We support the open data movement and work towards maximizing the potential for data use within our user group. The primary beneficiaries of our services are researchers, while our online services can also be used by students, educational institutions as well as media representatives and the public. We stand for integrity in data archiving and promote ethical research principles.
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 Research Collection is ETH Zurich's publication platform. It unites the functions of a university bibliography, an open access repository and a research data repository within one platform. Researchers who are affiliated with ETH Zurich, the Swiss Federal Institute of Technology, may deposit research data from all domains. They can publish data as a standalone publication, publish it as supplementary material for an article, dissertation or another text, share it with colleagues or a research group, or deposit it for archiving purposes. Research-data-specific features include flexible access rights settings, DOI registration and a DOI preview workflow, content previews for zip- and tar-containers, as well as download statistics and altmetrics for published data. All data uploaded to the Research Collection are also transferred to the ETH Data Archive, ETH Zurich’s long-term archive.
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.
CEDIFOR is a Digital Humanities Centre, established in 2014. We intend to contribute to bridging the gap between research in the Humanities and computer based methods, and help researchers to master the characteristic problems in this process. We provide methodological expertise for advising researchers from the Humanities, Social, and Educational Sciences on adopting computer based methods in their research. This concerns the planning and operational stage of projects as well as the long-term provision of result data.
CPES provides access to information that relates to mental disorders among the general population. Its primary goal is to collect data about the prevalence of mental disorders and their treatments in adult populations in the United States. It also allows for research related to cultural and ethnic influences on mental health. CPES combines the data collected in three different nationally representative surveys (National Comorbidity Survey Replication, National Survey of American Life, National Latino and Asian American Study).
DR-NTU (Data) is the institutional open access research data repository for Nanyang Technological University (NTU). NTU researchers are encouraged to use DR-NTU (Data) to deposit, publish and archive their final research data in order to make their research data discoverable, accessible and reusable.
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).
LSE Research Online is the institutional repository for the London School of Economics and Political Science. LSE Research Online contains research produced by LSE staff, including journal articles, book chapters, books, working papers, conference papers and more.
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 Integrated Fertility Survey Series (IFSS) is a project of the Population Studies aiming in view to produce a harmonized dataset of U.S. family and fertility surveys spanning five decades (1955-2002). IFSS integrates data from ten underlying component studies of family and fertility encompassing the Growth of American Families (GAF) in 1955 and 1960; National Fertility Surveys (NFS) in 1965 and 1970; as well as National Surveys of Family Growth (NSFG) in 1973, 1976, 1982, 1988, 1995, and 2002. The first release contains harmonized sociodemographic variables for all respondents from all ten component studies, including those related to marital status, race and ethnicity, etc. Thus it provides access to researchers, educators, students, policy makers, and others with a data resource to examine issues related to families and fertility in the United States. Potential users can download original/ harmonized datasets (along with documentation) and numerous analytic tools make it possible to quickly and easily explore the data and obtain information about changes in behaviors and attitudes across time.
Goal of the psychology data archive PsychData is the documentation and long-term archiving of research data from all areas of psychology and the social sciences, using specially created metadata and to provide use of the data for scientific purposes such as secondary analysis and reanalysis. Psychdata contains all areas of psychology, in particular data sets from clinical, developmental, educational, gero-, and work and organizational psychology stemming from longitudinal studies, major surveys, and test development.
DataFirst is a research unit at the University of Cape Town engaged in promoting the long term preservation and reuse of data from African Socioeconomic surveys and provides a secure setting for improved access to national census and survey microdata for research purposes.
The UCD Digital Library is a platform for exploring cultural heritage, engaging with digital scholarship, and accessing research data. The UCD Digital Library allows you to search, browse and explore a growing collection of historical materials, photographs, art, interviews, letters, and other exciting content, that have been digitised and made freely available.
Data.uel is the new research data repository for UEL. Researchers at UEL can deposit their research data here, and link it to their publications in ROAR. This is still a new service and we are very excited about the possibilities for the future. There may be further changes to data.uel going forwards.