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Found 90 result(s)
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Data Center of Geography was created in 2011 in the framework of the interdisciplinary structure – world data systems – to ensure gathering, processing and conversion of data and to solve fundamental and applied problems in the sphere of geographical sciences.
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The University of Bath Research Data Archive was established in 2015 to make data supporting our research discoverable and accessible.
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This platform aims to realize data storage, data management, data analysis, data sharing and data citation traceability of various data sets in the field of Humanities and Social Sciences of East China Normal University.
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The University of Reading Research Data Archive (the Archive) is a multidisciplinary online service for the registration, preservation and publication of research datasets produced or collected at the University of Reading.
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The online digital research data repository of multi-disciplinary research datasets produced at the University of Nottingham, hosted by Information Services and managed and curated by Libraries, Research & Learning Resources.
University of Nottingham researchers who have produced research data associated with an existing or forthcoming publication, or which has potential use for other researchers, are invited to upload their dataset.
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The Data Repository of the Department of Statistical Sciences of the University of Padova is a research data archive with the objective of sharing datasets collected within the Department. The service aims to facilitate data discovery, data sharing, and reuse.
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CAD INASAN was established in 1980 as a branch regional center of the Centre de Donnes Stellaire (CDS). Since that time, the CAD has been working to distribute, create and store astronomical data according to the requirements of time, specifics of techniques and requests of the Russian astronomical community. At present, the staff of the CAD is maintaining mirrors of several major astronomical data resources, keeping a record of Russian astronomical data resources, and is working to create new astronomical data resources. Since 2002, we are the important part of the Russian Virtual Observatory project (member of the International Virtual Observatory Alliance - IVOA). The CAD archive is based on astronomical catalogues received from Strasbourg since 1980. Several well known astronomical archives and databases are also stored at INASAN (e.g. VizieR, ADS, INES, VALD). At present CAD coordinates work on the Russian Virtual Observatory (RVO) project
Subject(s)
- Research on Teaching, Learning and Training
- Computer Science
- Medicine
- Humanities
- Social Sciences
- Physics
- Chemistry
- Classical Archaeology
- Education Sciences
- Social and Behavioural Sciences
- Humanities and Social Sciences
- Computer Science, Electrical and System Engineering
- Medicine
- Life Sciences
- Natural Sciences
- Ancient Cultures
- Engineering Sciences
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions.
The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
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The National Earth System Science Data Sharing Service Platform is one of the 23 national science and technology infrastructure platforms identified by the Ministry of Science and Technology and the Ministry of Finance as the first batch of platforms. The platform is led by the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. Since its construction in 2003, more than 40 domestic and overseas units have participated in the platform construction. National Earth System Science Data Sharing Service Platform main development course:
The overall goal of the platform is to integrate and integrate the data resources generated by data center groups, universities, research institutes and scientists in China and abroad, to import international data resources and to receive the data resources generated by major national scientific research projects. Based on this, Processing data products. We will improve standards and operational mechanisms and provide data support for Earth system science research and sustainable socio-economic development through the Earth System Scientific Data Sharing Network Platform and professional service teams. The recent consolidation of data resources required to share the research on land surface systems and human-land relations.
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The Tropical Data Hub (TDH) Research Data repository makes data collections and datasets generated by James Cook University researchers searchable and accessible. This increases their visibility and facilitates sharing and collaboration both within JCU and externally. Services provided include archival storage, access controls (open access preferred), metadata review and DOI minting.
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Adattár stores research data associated with the University of Debrecen, and provides services such as data transfer, storage and sharing. As a result, research data is easily accessible and more visible to the scientific community in each field, following disciplinary standards. Adattár aims to foster best practices of findability and accessibility of research data, and will provide guidance regarding issues of access, privacy, and copyright. Adattár aims to be a widely used, inter-disciplinary, trusted platform for managing, sharing, and archiving research data created by the researchers associated with the university.
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Welcome to the York Research Database, where you can find all our research staff, projects, publications and organisational units, and explore the connections between them all. The university of York is a member of the Russell Group of research-intensive universities.
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Macquarie University's Institutional Research Data Repository (RDR) allows researchers to upload, publish, search and download research data. The RDR promotes collaboration, data sharing and discovery amongst researchers globally according to FAIR data principles.
The RDR is based on Figshare for Institutions, which has been specifically tailored to suit the needs of the Macquarie University research community.
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The National Population Health Data Center (NPHDC) is one of the 20 national science data center approved by the Ministry of Science and Technology and the Ministry of Finance. The Population Health Data Archive (PHDA) is developed by NPHDC relying on the Institute of Medical Information, Chinese Academy of Medical Sciences. PHDA mainly receives scientific data from science and technology projects supported by the national budget, and also collects data from other multiple sources such as medical and health institutions, research institutions and social individuals, which is oriented to the national big data strategy and the healthy China strategy. The data resources cover basic medicine, clinical medicine, public health, traditional Chinese medicine and pharmacy, pharmacy, population and reproduction. PHDA supports data collection, archiving, processing, storage, curation, verification, certification and release in the field of population health. Provide multiple types of data sharing and application services for different hierarchy users and help them find, access, interoperate and reuse the data in a safe and controlled environment. PHDA provides important support for promoting the open sharing of scientific data of population health and domestic and foreign cooperation.
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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
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IGS PAS Data Portal is an open data repository of Institute of Geological Sciences Polish Academy of Sciences. This portal is used to collect and share data, taking into account access to the data from external repositories.
IGS PAS data are open and provided for free use for non-commercial purposes under applicable laws on data sharing public and publicly funded. In the case of using data by external entities, the data source must be cited following the guidelines (information on how to cite data is included in the Cite Dataset field).
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The institutional research data repository of the Universität Innsbruck is a service to enable storing, sharing and publishing of research data according to the FAIR principles for its employees and project partners.
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The Jurisdictional Ocean Information Sharing System (JOISS) is a research activity to promote joint utilization of marine R&D projects and marine scientific materials at home and abroad.
As a representative research activity, data curation activities are continuously carried out in accordance with the data life cycle to expand the utilization of the JOISS portal system.
In order to provide integrated and standardized marine information, we are conducting standardization research for the distribution of marine geographic information metadata by referring to international standards and domestic and international marine data centers.
In addition, we provide information and guidance for marine education and research, and strive to strengthen the exchange of data between marine research data repositories.
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The CNRS Research Data institutional repository offers CNRS scientists and their collaborators a solution for sharing data when there is no thematic or institutional repository adapted to their research field. CNRS Research Data provides a space in which depositors can share and promote data (legally disseminable, completed, documented and reusable) produced or co-produced as part of research work supported by the CNRS.
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Research Data Repository is the institutional repository of the University of Bamberg to enable storing, sharing and publishing of research data.
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Research Data Leeds is the institutional research data repository for the University of Leeds. The service aims to facilitate data discovery and data sharing. The repository houses data generated by researchers at the University of Leeds.
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Research Data Finder is QUT’s discovery service for research data created or collected by QUT researchers. Designed to promote the visibility of QUT research datasets, Research Data Finder provides descriptions about shareable, reusable datasets available via open or mediated access.
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Arca Data is Fiocruz's official repository for archiving, publishing, disseminating, preserving and sharing digital research data produced by the Fiocruz community or in partnership with other research institutes or bodies, with the aim of promoting new research, ensuring the reproducibility or replicability of existing research and promoting an Open and Citizen Science. Its objective is to stimulate the wide circulation of scientific knowledge, strengthening the institutional commitment to Open Science and free access to health information, in addition to providing transparency and fostering collaboration between researchers, educators, academics, managers and graduate students, to the advancement of knowledge and the creation of solutions that meet the demands of society.
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With the creation of the Metabolomics Data Repository managed by Data Repository and Coordination Center (DRCC), the NIH acknowledges the importance of data sharing for metabolomics. Metabolomics represents the systematic study of low molecular weight molecules found in a biological sample, providing a "snapshot" of the current and actual state of the cell or organism at a specific point in time. Thus, the metabolome represents the functional activity of biological systems. As with other ‘omics’, metabolites are conserved across animals, plants and microbial species, facilitating the extrapolation of research findings in laboratory animals to humans. Common technologies for measuring the metabolome include mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (NMR), which can measure hundreds to thousands of unique chemical entities.
Data sharing in metabolomics will include primary raw data and the biological and analytical meta-data necessary to interpret these data. Through cooperation between investigators, metabolomics laboratories and data coordinating centers, these data sets should provide a rich resource for the research community to enhance preclinical, clinical and translational research.
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The KnowledgeBase of the University of Strathclyde includes research data from the staff and students of the university.
- Current projects
- EOSC FAIR-IMPACT
- re3data COREF
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To the extent possible under law,
re3data.org
has waived all copyright and related or neighboring rights to
the database entries of re3data.org.
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Except where otherwise noted, content on this site is licensed under a
Creative Commons Attribution 4.0 International License
.
- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-04-30
