Open Archives Initiative Object Reuse and Exchange
Abbreviation: OAI-ORE
Homepage http://www.openarchives.org/ore/
Countries that developed this resource United States
Created in 2008
Taxonomic range
Subjects
User-defined Tags
How to cite this record FAIRsharing.org: OAI-ORE; Open Archives Initiative Object Reuse and Exchange; DOI: https://doi.org/10.25504/FAIRsharing.3mtaee; Last edited: Jan. 8, 2019, 1:33 p.m.; Last accessed: May 29 2020 8:10 p.m.
Record added: July 19, 2017, 2:07 p.m.
Record updated:
Sept. 26, 2018, 8:16 p.m. by The FAIRsharing Team.
| online documentation | OAI-ORE Primer |
| online documentation | Tools and Additional Resources |
| online documentation | OAI-ORE Community Information |
Additional Information
| Contact | openarchives-l@cornell.edu |
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Conditions of Use
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No guidelines defined
Terminology Artifacts
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No identifier schema standards defined
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No metrics standards defined
4TU.Centre for Research Data (short: 4TU.ResearchData) was started in 2008 as an initiative of the three technical universities in the Netherlands – Delft University of Technology, Eindhoven University of Technology, and the University of Twente. The ambition was, and still is, to create and maintain a national state-of-the-art facility for storing and preserving science and engineering research data and for making those data openly accessible. The data archive has been fully operational since 2010 and it has evolved to become a trusted and certified repository for science and engineering. By publishing data-sets via 4TU.ResearchData you will make your data FAIR. Every single data-set is assigned a DOI and metadata (F), the archive is accessible 24/7 online worldwide via https protocol (A), the data-files adhere to community and preservation standards (I), and a readme-file and usage license is provided for every data-set (R). This archive is accessible and usable for any researcher from the science and engineering disciplines. Please visit our website for more details.
Imperial College Research Data Repository
A lightweight digital repository for data based on the concepts of collections of filesets. Both the collection and the fileset are assigned a DOI by the DataCite organisation which can be quoted in articles
CORE
CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way CORE facilitates free unrestricted access to research for all. CORE supports the right of citizens and the general public to access the results of research towards which they contributed by paying taxes; facilitates access to open access content for all by offering services to general public, academic institutions, libraries, software developers, researchers, etc.; provides support to both content consumers and content providers by working with digital libraries, institutional and subject repositories and journals, ; enriches the research content using state-of-the-art technology and provides access to it through a set of services including search, API and analytical tools, ; contributes to a cultural change by promoting open access, a fast growing movement.
e-cienciaDatos
e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data. The purpose of this repository is to ensure data preservation and to facilitate data access and reuse. e-cienciaDatos collects datasets from of each of the member universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.
The Tromsø Repository of Language and Linguistics
The Tromsø Repository of Language and Linguistics (TROLLing) is a repository of data, code, and other related materials used in linguistic research. The repository is open access, which means that all information is available to everyone. All postings are accompanied by searchable metadata that identify the researchers, the languages and linguistic phenomena involved, the statistical methods applied, and scholarly publications based on the data (where relevant). DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. Being part of DataverseNO, TROLLing is CoreTrustSeal certified.
DataverseNO
DataverseNO (https://dataverse.no/) is a national, generic repository for open research data, owned and operated by UiT The Arctic University of Norway. DataverseNO is aligned with the FAIR Guiding Principles for scientific data management and stewardship. The technical infrastructure of the repository is based on the open source application Dataverse, which is developed by an international developer and user community led by Harvard University. DataverseNO is CoreTrustSeal certified.
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Funds
National Science Foundation (NSF), USA (Government body)
Alfred P. Sloan Foundation, USA (Government body)
Andrew W. Mellon Foundation, New York, USA (Charitable foundation)
Coalition for Networked Information (Consortium)
Digital Library Federation (Consortium)
Maintains
School of Information, University of Michigan, Ann Arbor, USA (University)
Digital Library Research & Prototyping, Los Alamos National Laboratory, USA (Lab)
Cornell University Library, Cornell University, NY, USA (University)
Grant Number(s)
IIS-0430906 (National Science Foundation (NSF), USA)
IIS-9817416 (National Science Foundation (NSF), USA)
