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Found 13 result(s)
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KU Leuven RDR (pronounced "RaDaR") is KU Leuven's Research Data Repository, built on Dataverse.org - open source repository software built by Harvard University. RDR gives KU Leuven researchers a one-stop platform to upload, describe, and share their research data, conveniently and with support from university staff.
The Arizona State University (ASU) Research Data Repository provides a platform for ASU-affiliated researchers to share, preserve, cite, and make research data accessible and discoverable. The ASU Research Data Repository provides a permanent digital identifier for research data, which complies with data sharing policies. The repository is powered by the Dataverse open-source application, developed and used by Harvard University. Both the ASU Research Data Repository and the KEEP Institutional Repository are managed by the ASU Library to ensure research produced at Arizona State University is discoverable and accessible to the global community.
The EUR Data Repository [EDR] is the institutional data repository from the Erasmus University Rotterdam. The EUR Data Repository is an online platform where you showcase your research and make it findable, citable, and reusable for others.
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In HilReDa, researchers can permanently secure their research data and make it publicly available (publish) in open access in a sustainable and quality-appropriate manner. The research data is given a persistent identifier when it is published.
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Multidisciplinary research data repository, hosted by DTU, the Danish Technical University.
A Research Data Repository (RDR) for researchers in India. Any registered researchers of Indian Universities can manage their research data on eSHODHMANTHAN-RDR free of cost. This research data repository is configured to provide free of cost research data management services to existing and forthcoming researchers throughout their research life. eSHODHMANTHAN-RDR is powered by Dataverse project of Harvard University
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The data repository aims to store, preserve and make available research data generated by the academic community, in open access - as open as possible, as closed as necessary.
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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.
Country
The USACH research data repository provides a platform for researchers affiliated to the University to share, manage and preserve research data. So that they are accessible and detectable, both for the internal and external community, bringing the knowledge generated closer to the population.
SWISSUbase is a national cross-disciplinary solution for Swiss universities and other research organisations in need of local institutional data repositories for their researchers. SWISSUbase offers to the Swiss research institutions a tool for the curation, preservation, and dissemination of scientific research data and for the storage of information on ongoing and completed research projects in the country. The platform relies on international archiving standards and processes to ensure that data are preserved and accessible in the long-term. Datasets are curated by Data Service Units (DSU). DSU LaRS – Language Repository of Switzerland: https://www.lars.uzh.ch/en.html
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The Universidad del Rosario Research data repository is an institutional iniciative launched in 2019 to preserve, provide access and promote the use of data resulting from Universidad del Rosario research projects. The Repository aims to consolidate an online, collaborative working space and data-sharing platform to support Universidad del Rosario researchers and their collaborators, and to ensure that research data is available to the community, in order to support further research and contribute to the democratization of knowledge. The Research data repository is the heart of an institutional strategy that seeks to ensure the generation of Findable, Accessible, Interoperable and Reusable (FAIR) data, with the aim of increasing its impact and visibility. This strategy follows the international philosophy of making research data “as open as possible and as closed as necessary”, in order to foster the expansion, valuation, acceleration and reusability of scientific research, but at the same time, safeguard the privacy of the subjects. The platform storage, preserves and facilitates the management of research data from all disciplines, generated by the researchers of all the schools and faculties of the University, that work together to ensure research with the highest standards of quality and scientific integrity, encouraging innovation for the benefit of society.