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Found 52 result(s)
>>>>!!!<<< As stated 2017-06-27 The website http://researchcompendia.org is no longer available; repository software is archived on github https://github.com/researchcompendia >>>!!!<<< The ResearchCompendia platform is an attempt to use the web to enhance the reproducibility and verifiability—and thus the reliability—of scientific research. we provide the tools to publish the "actual scholarship" by hosting data, code, and methods in a form that is accessible, trackable, and persistent. Some of our short term goals include: To expand and enhance the platform including adding executability for a greater variety of coding languages and frameworks, and enhancing output presentation. To expand usership and to test the ResearchCompendia model in a number of additional fields, including computational mathematics, statistics, and biostatistics. To pilot integration with existing scholarly platforms, enabling researchers to discover relevant Research Compendia websites when looking at online articles, code repositories, or data archives.
ScholarSphere is a secure repository service enabling the Penn State community to share its research and scholarly work with a worldwide audience. Faculty, staff, and students can use ScholarSphere to collect their work in one location and create a durable and citeable record of their papers, presentations, publications, data sets, or other scholarly creations. Through this service, Penn State researchers can also comply with grant-funding-agency requirements for sharing and managing research data.
Edinburgh DataShare is an online digital repository of multi-disciplinary research datasets produced at the University of Edinburgh, hosted by the Data Library in Information Services. Edinburgh University 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 for sharing and safekeeping. A persistent identifier and suggested citation will be provided.
The Prototype Data Portal allows to retrieve Data from World Data System (WDS) members. WDS ensures the long-term stewardship and provision of quality-assessed data and data services to the international science community and other stakeholders
KU ScholarWorks is the digital repository of the University of Kansas. It contains scholarly work created by KU faculty, staff and students, as well as material from the University Archives. KU ScholarWorks makes important research and historical items available to a wider audience and helps assure their long-term preservation.
Online storage, sharing and registration of research data, during the research period and up to the prescribed term of ten years after its completion. DataverseNL is a shared service provided by participating institutions and DANS.
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Research Data Australia is the data discovery service of the Australian National Data Service (ANDS). We do not store the data itself here but provide descriptions of, and links to, the data from our data publishing partners. ANDS is funded by the Australian Government through the National Collaborative Research Infrastructure Strategy (NCRIS).
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Arquivo.pt is a research infrastructure that preserves millions of files collected from the web since 1996 and provides a public search service over this information. It contains information in several languages. Periodically it collects and stores information published on the web. Then, it processes the collect data to make it searchable, providing a “Google-like” service that enables searching the past web (English user interface available at www.archive.pt). This preservation workflow is performed through a large-scale distributed information system and can also accessed through API.
The Brown Digital Repository (BDR) is a place to gather, index, store, preserve, and make available digital assets produced via the scholarly, instructional, research, and administrative activities at Brown.
ePrints Soton is the University's Research Repository. It contains journal articles, books, PhD theses, conference papers, data, reports, working papers, art exhibitions and more. Where possible, journal articles and conference proceedings are uploaded into ePrints and made open access.
Merritt is a curation repository for the preservation of and access to the digital research data of the ten campus University of California system and external project collaborators. Merritt is supported by the University of California Curation Center (UC3) at the California Digital Library (CDL). While Merritt itself is content agnostic, accepting digital content regardless of domain, format, or structure, it is being used for management of research data, and it forms the basis for a number of domain-specific repositories, such as the ONEShare repository for earth and environmental science and the DataShare repository for life sciences. Merritt provides persistent identifiers, storage replication, fixity audit, complete version history, REST API, a comprehensive metadata catalog for discovery, ATOM-based syndication, and curatorially-defined collections, access control rules, and data use agreements (DUAs). Merritt content upload and download may each be curatorially-designated as public or restricted. Merritt DOIs are provided by UC3's EZID service, which is integrated with DataCite. All DOIs and associated metadata are automatically registered with DataCite and are harvested by Ex Libris PRIMO and Thomson Reuters Data Citation Index (DCI) for high-level discovery. Merritt is also a member node in the DataONE network; curatorially-designated data submitted to Merritt are automatically registered with DataONE for additional replication and federated discovery through the ONEMercury search/browse interface.
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MIDAS is national research data archive. The aim of the MIDAS is to collect, process, store and analyse scientific research data and other relevant information in all fields of knowledge, enabling free, easy and convenient access to it via the Internet. MIDAS provides services for registered and not-registered users: students, listeners, academics, researchers, scientific workers, research data evaluation and quality assurance experts, other participants in a science and studies system as well as individuals interested in research data. MIDAS consists of 2 parts: MIDAS portal (all users) and user account (internal portal for registered users).The Vilnius University is controller and main processor of MIDAS system.
A data repository and social network so that researchers can interact and collaborate, also offers tutorials and datasets for data science learning. "data.world is designed for data and the people who work with data. From professional projects to open data, data.world helps you host and share your data, collaborate with your team, and capture context and conclusions as you work."
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ResearchGate is a network where 11 million scientists and researchers worldwide connect to share their work. Researchers can upload data of any type and receive DOIs, detailed statistics and real-time feedback. In Data discovery Section of ResearchGate you can explore the added datasets.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, documents or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. In the following cases, a direct data upload into the ETH Data Archive though, has to be considered: - Upload and registration of software code according to ETH transfer’s requirements for Software Disclosure. - A substantial number of files, have to be regularly submitted for long-term archiving and/or publishing and browser-based upload is not an option: the ETH Data Archive may offer automated data and metadata transfers from source applications (e.g. from a LIMS) via API. - Files for a project on a local computer have to be collected and metadata has to be added before uploading the data to the ETH Data Archive: -- we provide you with the local file editor docuteam packer. Docuteam packer allows to structure, describe, and organise data for an upload into the ETH Data Archive and the depositor decides when submission is due.
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ScholarBank@NUS is the university's Institutional Repository (IR). Its goals are to collect, preserve and showcase the research output including research data of NUS researchers and departments.
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DIAS aims at collecting and storing earth observation data; analyzing such data in combination with socio-economic data, and converting data into information useful for crisis management with respect to global-scale environmental disasters, and other threats; and to make this information available within Japan and overseas.
The University of Lincoln's Institutional Repository is for the permanent deposit of research outputs produced by the University. Repository content can be browsed or searched through this website or through searching the internet. Wherever possible, repository content is freely available for download and use according to our Copyright and Use Notice.
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.
The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.
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The Research Data Repository of the University of Mannheim invites all researchers and faculty of the University of Mannheim to archive their research data here in order to make it accessible through the Internet. All archived data sets receive DOIs (Digital Object Identifier) to make them accessible and citable. Using this repository is free of charge.