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Found 291 result(s)
NKN is now Research Computing and Data Services (RCDS)! We provide data management support for UI researchers and their regional, national, and international collaborators. This support keeps researchers at the cutting-edge of science and increases our institution's competitiveness for external research grants. Quality data and metadata developed in research projects and curated by RCDS (formerly NKN) is a valuable, long-term asset upon which to develop and build new research and science.
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GnpIS is a multispecies integrative information system dedicated to plant and fungi pests. It bridges genetic and genomic data, allowing researchers access to both genetic information (e.g. genetic maps, quantitative trait loci, association genetics, markers, polymorphisms, germplasms, phenotypes and genotypes) and genomic data (e.g. genomic sequences, physical maps, genome annotation and expression data) for species of agronomical interest. GnpIS is used by both large international projects and plant science departments at the French National Research Institute for Agriculture, Food and Environment. It is regularly improved and released several times per year. GnpIS is accessible through a web portal and allows to browse different types of data either independently through dedicated interfaces or simultaneously using a quick search ('google like search') or advanced search (Biomart, Galaxy, Intermine) tools.
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.
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The McGill University Dataverse is a research data repository for McGill faculty, students, and staff. Files are held in a secure environment on Canadian servers.
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The Vancouver Island University Dataverse is part of Borealis, the Canadian Dataverse Repository, and is a research data repository for VIU faculty, students, and staff. Files are held in a secure environment on Canadian servers. Researchers can choose to make content available to the public, to specific individuals, or to keep it locked.
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depositar — taking the term from the Portuguese/Spanish verb for to deposit — is an online repository for research data. The site is built by the researchers for the researchers. You are free to deposit, discover, and reuse datasets on depositar for all your research purposes.
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NB-IRDT is expanding research potential through pseudonymised, linkable data sets. Our repository includes a growing collection to meet diverse research needs. We only host pseudonymous data in the NB-IRDT repository. NB-IRDT also offers public use data sets, which consist of de-identified data that is publicly accessible. All our data can be accessed in the NB-IRDT lab spaces.
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MIDAS is a national research data repository. The aim of MIDAS is to collect, process, store and analyse research data and other relevant information in all fields of knowledge, enabling free, easy and convenient access to the data via the Internet. MIDAS provides services for registered and unregistered users: students, listeners, academics, researchers, scientists, research administrators, other actors of the research and studies ecosystem, and all individuals interested in research data. MIDAS consists of the MIDAS portal and MIDAS user account. The MIDAS portal is a public space accessible to anyone interested in discovering and viewing published research Data and their metadata, whereas MIDAS user account is available to registered users only. MIDAS is managed by Vilnius University.
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With the support of TELOTA, the Library of the Berlin-Brandenburg Academy of Sciences and Humanities (BBAW) operates an institutional repository for the first and second publication of scholarly publications authored or edited by members or staff of the BBAW and its predecessor institutions. The edoc server makes the publications available to the worldwide scholarly community in open access and ensures their long-term archiving. The edoc server is thus part of the implementation of the Academy's Open Science mission statement. Since 11/2022 the edoc-server of the academy is as well accepting research data and is thus the institutional research data repository of the academy.
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HHU ResearchData enables researchers of Heinrich Heine University Düsseldorf to make their research data available to the scientific community.
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The RIAA's primary functions are to collect, organize, preserve, manage, and provide electronic access to information and quality content produced with public funds.
Mountain Scholar is an open access repository service that collects, preserves, and provides access to digitized library collections and other scholarly and creative works from several academic entities within the state of Colorado. Colorado State University research data from the fall of 2022 and forward is available in Dryad; CSU legacy research data prior to fall 2022 is in Mountain Scholar.
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RWTH Publications Research Data offers all RWTH Aachen University affiliates the organizational and technical means to electronically document and publish research data at this institutional repository. Certainly, researchers are encouraged to prefer a subject specific repository whenever appropriate and available. RWTH Aachen University is the largest technical university in Germany and one of nine 'German Universities of Excellence' (elite university). The University library Aachen operates the repository as a member of the join community.
The CONP portal is a web interface for the Canadian Open Neuroscience Platform (CONP) to facilitate open science in the neuroscience community. CONP simplifies global researcher access and sharing of datasets and tools. The portal internalizes the cycle of a typical research project: starting with data acquisition, followed by processing using already existing/published tools, and ultimately publication of the obtained results including a link to the original dataset. From more information on CONP, please visit https://conp.ca
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Tallinn University of Technology Data Repository (TalTechData) is a storage space for researchers to deposit data sets associated with their research. The main goal of TalTechData is to gather all fields of research data and encouraging open science and FAIR principles (Findable, Accessible, Interoperable and Reusable). Through preserving open research data TalTechData enriches academic quality and collaboration, supports innovative developments and supports overall use of scientific materials.
Atmosphere to Electrons (A2e) is a new, multi-year, multi-stakeholder U.S. Department of Energy (DOE) research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reduction in the cost of wind energy production. The A2e strategic vision will enable a new generation of wind plant technology, in which smart wind plants are designed to achieve optimized performance stemming from more complete knowledge of the inflow wind resource and complex flow through the wind plant.
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QSAR DataBank (QsarDB) is repository for (Quantitative) Structure-Activity Relationships ((Q)SAR) data and models. It also provides open domain-specific digital data exchange standards and associated tools that enable research groups, project teams and institutions to share and represent predictive in silico models.
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The Repository of University of Wroclaw is an institutional repository, which archives and makes available scientific as well as research and development materials, that were created by the employees, postgraduate students, and (in the selection) by the students of the University of Wroclaw or issued at the University of Wroclaw. These materials include, inter alia, dissertations, postdoctoral thesis, selected undergraduate’s and postgraduate’s thesis, research articles, conference papers, monographs or their chapters, didactic materials, posters, and also research data. Repository is organized by fields of knowledge, in accordance with the areas represented at the University in the frameworks of its organizational units, such as departments, institutes and other interfaculty units, and its structure is hierarchical, based on groups of subjects, covering a variety of collections.
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RADAR4Culture is a low-threshold and easy-to use service for sustainable publication and preservation of cultural heritage research data. It offers free publication for any data type and format according to the FAIR principles, independent of the researcher´s institutional affiliation. Through persistent identifiers (DOI) and a guaranteed retention period of at least 25 years, the research data remain available, citable and findable long-term. Currently, the offer is aimed exclusively at researchers at publicly funded research institutions and (art) universities as well as non-commercial academies, galleries, libraries, archives and museums in Germany. No contract is required and no data publication fees are charged. The researchers are responsible for the upload, organisation, annotation and curation of research data as well as the peer-review process (as an optional step) and finally their publication.
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Arias Montano, Institutional Repository of the University of Huelva is a repository of digital documents, whose aim is to publicize the scientific and teaching production of the University community, and ensure the preservation of their productions in digital format, as well as those institutions with which the University of Huelva has established agreements for this purpose. In order to collect the data management plans of the research projects carried out by the research groups and centers of the University of Huelva, the collection "Research data: complementary information" was created in Arias Montano, Institutional Repository of Investigations https://rabida.uhu.es/dspace/handle/10272/14868
The FigShare service for University of Auckland, New Zealand was launched in January 2015 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 recieves a Digital Object identifier (DOI), which allows the data to be cited. 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.