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Found 174 result(s)
FAIR & long-term storage of research data from computational materials science, or from experimental materials science that is of relevance to simulations. Complementary tools available to explore the full provenance of the calculations and to perform simulations or data analytics in the cloud.
The Registry of Open Data on AWS provides a centralized repository of public data sets that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge to their users. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users.
The DesignSafe Data Depot Repository (DDR) is the platform for curation and publication of datasets generated in the course of natural hazards research. The DDR is an open access data repository that enables data producers to safely store, share, organize, and describe research data, towards permanent publication, distribution, and impact evaluation. The DDR allows data consumers to discover, search for, access, and reuse published data in an effort to accelerate research discovery. It is a component of the DesignSafe cyberinfrastructure, which represents a comprehensive research environment that provides cloud-based tools to manage, analyze, curate, and publish critical data for research to understand the impacts of natural hazards. DesignSafe is part of the NSF-supported Natural Hazards Engineering Research Infrastructure (NHERI), and aligns with its mission to provide the natural hazards research community with open access, shared-use scholarship, education, and community resources aimed at supporting civil and social infrastructure prior to, during, and following natural disasters. It serves a broad national and international audience of natural hazard researchers (both engineers and social scientists), students, practitioners, policy makers, as well as the general public. It has been in operation since 2016, and also provides access to legacy data dating from about 2005. These legacy data were generated as part of the NSF-supported Network for Earthquake Engineering Simulation (NEES), a predecessor to NHERI. Legacy data and metadata belonging to NEES were transferred to the DDR for continuous preservation and access.
Online materials database (known as PAULING FILE project) with nearly 2 million entries: physical properties, crystal structures, phase diagrams, available via API, ready for modern data-intensive applications. The source of these entries are about 0.5M peer-reviewed publications in materials science, processed during the last 30 years by an international team of PhD editors. The results are presented online with a quick search interface. The basic access is provided for free.
WHOI is the world's leading non-profit oceanographic research organization. WHOI maintains unparalleled depth and breadth of expertise across a range of oceanographic research areas. Institution scientists and engineers work collaboratively within and across six research departments to advance knowledge of the global ocean and its fundamental importance to other planetary systems. At the same time, they also train future generations of ocean scientists and address problems that have a direct impact in efforts to understand and manage critical marine resources.
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Institutional research data repository of Riga Technical University (RTU). The aim is to collect and store scientific research data and other relevant information in all fields of knowledge of RTU, enabling free, easy and convenient access to it.
The ODIN Portal hosts scientific databases in the domains of structural materials and hydrogen research and is operated on behalf of the European energy research community by the Joint Research Centre, the European Commission's in-house science service providing independent scientific advice and support to policies of the European Union. ODIN contains engineering databases (Mat-Database, Hiad-Database, Nesshy-Database, HTR-Fuel-Database, HTR-Graphit-Database) and document management sites and other information related to European research in the area of nuclear and conventional energy.
The Unidata community of over 260 universities is building a system for disseminating near real-time earth observations via the Internet. Unlike other systems, which are based on data centers where the information can be accessed, the Unidata IDD is designed so a university can request that certain data sets be delivered to computers at their site as soon as they are available from the observing system. The IDD system also allows any site with access to specialized observations to inject the dataset into the IDD for delivery to other interested sites.
>>>!!!<<< As stated 2017-05-16 The BIRN project was finished a few years ago. The web portal is no longer live.>>>!!!<<< BIRN is a national initiative to advance biomedical research through data sharing and online collaboration. It supports multi-site, and/or multi-institutional, teams by enabling researchers to share significant quantities of data across geographic distance and/or incompatible computing systems. BIRN offers a library of data-sharing software tools specific to biomedical research, best practice references, expert advice and other resources.
Research data management is a general term covering how you organize, structure, store, and care for the information used or generated during a research project. The University of Oxford policy mandates the preservation of research data and records for a minimum of 3 years after publication. A place to securely hold digital research materials (data) of any sort along with documentation that helps explain what they are and how to use them (metadata). The application of consistent archiving policies, preservation techniques and discovery tools, further increases the long term availability and usefulness of the data. This is the main difference between storage and archiving of data. ORA-Data is the University of Oxford’s research data archive https://www.re3data.org/repository/r3d100011230
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University of Southern Queensland Research Data Collection in Research Data Australia cover 123 subjects areas including Agricultural and Veterinary Sciences, Environmental Sciences and Engineering.
CLARIN-UK is a consortium of centres of expertise involved in research and resource creation involving digital language data and tools. The consortium includes the national library, and academic departments and university centres in linguistics, languages, literature and computer science.
Historic Environment Scotland was formed in October 2015 following the merger between Historic Scotland and The Royal Commission on the Ancient and Historical Monuments of Scotland. Historic Environment Scotland is the lead public body established to investigate, care for and promote Scotland’s historic environment. We lead and enable Scotland’s first historic environment strategy Our Place in Time, which sets out how our historic environment will be managed. It ensures our historic environment is cared for, valued and enhanced, both now and for future generations.
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Open Data DK has established a governance model to ensure that the members perceive the association as open, equal and result-creating. Open Data DK is a union with a board and teams. The Board is the general and strategic forum and consists of a chairman and five board members. The General Assembly is the Association's decision-making body and highest authority. The individual teams coordinate efforts within specific focus areas. Governance model with teams must support the need to coordinate the work as well as possible while taking into account the autonomy that the individual teams have in terms of the democratic basic element on which the association is based. The gain of using this form of organization is a joint work across the members of the association.
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Etsin is a research data finder that contains descriptive information – that is, metadata – on research datasets. In the service you can search and find data from various fields of research. A researcher, research group or organisation can use Etsin to publish information on their datasets and offer them for wider use. The metadata contained in Etsin makes it easy for anyone to discover the datasets. Etsin assigns a permanent URN identifier to datasets, making it possible to link to the dataset and gather merit through its publication and use. The metadata enables users to search for datasets and evaluate the potential for reuse. Etsin includes a description of the dataset, keywords and various dataset identifiers. The dataset information includes, for example, its subject, language, author, owner and how it is licensed for reuse. Good description of data plays an important role in its discoverability and visibility. Etsin encourages comprehensive descriptions by adapting a common set of discipline independent metadata fields and by making it easy to enter metadata. Etsin only collects metadata on datasets, not the data themselves. Anyone may browse and read the metadata. Etsin can be used with a browser or through an open interface (API). The service is discipline independent and free to use. Etsin is a service provided by the Ministry of Education and Culture to actors in the Finnish research system. The service is produced by CSC – IT Center for Science (CSC). Customer service contacts and feedback is available through servicedesk@csc.fi. The service maintenance window is on the fourth Monday of every month between 4 and 6 PM (EET). During that time, the service will be out of use.
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Established in 1998, we have been the authoritative source of spatial data and imagery in Alberta for over 20 years. We have a joint venture agreement with Alberta Data Partnerships Ltd. (ADP) and are responsible for the day-to-day management and distribution of the digital data sets they manage. As the agent for ADP, we are responsible for making mapping products available, accessible, accurate and affordable. We are the leading data management, maintenance, and distribution company in Alberta, and ensure the continued updating, re-engineering, storage, distribution, value-added redistribution, and general management of primary provincial mapping datasets. Our webstore, Altalis.com, enables customers to explore, view, and acquire spatial data products both paid and open data with the click of a button. We take pride in providing exceptional customer service and building long-term relationships with our clients. Our experienced customer service team are available to answer any questions you may have about finding the right data to meet your needs.
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HilData is registered by Hildesheim University Library, The access is via registration to the data and to the repository. Research data is with regards to educational science. Research data are sensitive and cannot be made fully open. HILDE Online is integrated in HilData: https://www.uni-hildesheim.de/celeb/projekte/fallarchiv-hilde/hildeonline-streaming-server/ HilData is working on its metadata (exposing metadata via interfaces) w.r.t. the FAIR principles and data citation. HilData and HILDE Online provide long-term storage and access to research data. The research data repository provides restricted access to its data. The research data repository uses DOI to make its provided data persistent, unique and citable.
US Department of Energy’s Atmospheric Radiation Measurement (ARM) Data Center is a long-term archive and distribution facility for various ground-based, aerial and model data products in support of atmospheric and climate research. ARM facility currently operates over 400 instruments at various observatories (https://www.arm.gov/capabilities/observatories/). ARM Data Center (ADC) Archive currently holds over 11,000 data products with a total holding of over 3 petabytes of data that dates back to 1993, these include data from instruments, value added products, model outputs, field campaign and PI contributed data. The data center archive also includes data collected by ARM from related program (e.g., external data such as NASA satellite).
figshare allows researchers to publish all of their research outputs in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets. Optional peer review process. figshare uses creative commons licensing. figshare+ repository allows figshare users to share larger datasets, over 20GB up to many TBs, see: https://plus.figshare.com/
Online storage, sharing and registration of research data, during the research period and after its completion. DataverseNL is a shared service provided by participating institutions and DANS.