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Found 316 result(s)
B2SAFE is a robust, safe and highly available service which allows community and departmental repositories to implement data management policies on their research data across multiple administrative domains in a trustworthy manner. A solution to: provide an abstraction layer which virtualizes large-scale data resources, guard against data loss in long-term archiving and preservation, optimize access for users from different regions, bring data closer to powerful computers for compute-intensive analysis
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It is the objective of our motion capture database HDM05 to supply free motion capture data for research purposes. HDM05 contains more than three hours of systematically recorded and well-documented motion capture data in the C3D as well as in the ASF/AMC data format. Furthermore, HDM05 contains for more than 70 motion classes in 10 to 50 realizations executed by various actors.
The Maine Dataverse Network is a cloud-based data repository intended to act as a long-term archive and to facilitate data sharing among the research community in accordance with NSF, NIH, NASA and other granting authority data management plan requirements. The Maine Dataverse Network offers a convenient and secure method of sharing and archiving data and is made available to the Maine research community at no cost.
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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.
UNAVCO promotes research by providing access to data that our community of geodetic scientists uses for quantifying the motions of rock, ice and water that are monitored by a variety of sensor types at or near the Earth's surface. After processing, these data enable millimeter-scale surface motion detection and monitoring at discrete points, and high-resolution strain imagery over areas of tens of square meters to hundreds of square kilometers. The data types include GPS/GNSS, imaging data such as from SAR and TLS, strain and seismic borehole data, and meteorological data. Most of these can be accessed via web services. In addition, GPS/GNSS datasets, TLS datasets, and InSAR products are assigned digital object identifiers.
Data@Lincoln is the research data repository for Lincoln University (New Zealand). Datasets may stand alone, or may consist of appendices to theses, or figures or other supplementary material to journal articles and other publications.
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Yale-NUS Dataverse is the institutional research data repository of Yale-NUS College. The goals of Yale-NUS Dataverse are to collect, preserve and showcase the research output of Yale-NUS researchers and through this, increase the research visibility of Yale-NUS researchers and demonstrate the research excellence of Yale-NUS College to the world.
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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.
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DUGiDocs is the institutional repository of the Universitat de Girona. Its aim is to preserve, spread and make visible the intellectual production issued from research and teaching lead at the UdG, such as degree final reports, master reports and doctorate research reports by university students as well as articles in scientific periodicals. Moreover it includes indexing and content description tools, makes visualization from many other internet sites easier (interoperability) and it also includes open access.
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J-STAGE Data is a data repository developed and managed by the Japan Science and Technology Agency (JST). J-STAGE Data supports the publication and distribution of data related to J-STAGE articles with the aim of contributing to the promotion of open science in Japan. Journals published on J-STAGE can use J-STAGE Data to publish data related to their own articles. DOI is automatically assigned to the data published in J-STAGE Data, and data is distributed worldwide as open access (anyone can access it for free, and the conditions for secondary use are clarified state), so anyone can use data under the conditions specified by the copyright holder, such as citing, sharing, and reusing.
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The institutional data repository DOREL - DOnnées de REcherche Lorraines - is a tool for referencing the scientific production of the University of Lorraine as well as a space for publishing data sets produced within its research units. It is a multidisciplinary repository, developed with the Dataverse software.
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RIULL is the Institutional Repository of the University of La Laguna, created with the aim of gathering, preserving and disseminating in open access the scientific and academic production of the University of La Laguna. It is managed by the University Library.
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Luleå University of Technology offers the opportunity to publish research data in the university's publication database DiVA. Choose the publication type "Dataset"
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REDU is the institutional open research data repository of the University of Campinas, Brazil. It contains research data produced by all research groups of the University, in a wide range of scientific domains, which are indexed by DataCite DOI. Created at the end of 2020, it is coordinated by a scientific and technical committee composed by data librarians, IT professionals, and scientists representing user groups. Implemented on top of Dataverse, it exports metadata using OAIS. Files with sensitive content (due to ethics or legal constraints) are not stored therein - rather, only their metadata is recorded in REDU, as well as contact information so that interested researchers can contact the persons responsible for the files for conditional subsequent access. It is being little by little populated, following the University's Open Science policies.
Provides free and open access to over 155 city datasets with new ones added regularly. Open data is anonymized (not personally identifiable), free, and available to everyone in one or more open and accessible formats.
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Population Data BC (PopData) is a multi-university, data and education resource facilitating interdisciplinary research on the determinants of human health, well-being and development. Providing a range of services to researchers and data providers, PopData strives to ensure that researchers have timely access to the data and training they need to address research questions on population health. Research using these data informs policy-making and leads to healthier communities.
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The City of Burnaby maintains a wide range of data. As part of our commitment to engagement, transparency and accountability, we want to share our data with you. Please explore this site and use Burnaby’s data to analyze information, build apps, combine open datasets using maps, develop new web and mobile applications, and to meet your specific data needs. Together, using open data, we’ll make our great community even better!
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Data can help you identify problems, perform forecasting, monitor change, set priorities, manage and respond to events and understand trends. Our City of Abbotsford Data Hub is the platform for exploring and downloading data, discovering and building apps, and engaging others to solve important issues. You can analyze and combine datasets using maps, as well as develop new web and mobile applications. The city is committed to supporting community engagement, enhancing transparency and accountability to our residents by providing public access to our data. Let's work together to achieve our goals!