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Found 6 result(s)

University of Northern British Columbia Dataverse

UNBC

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The University of Northern British Columbia Dataverse is a research data repository for research data from UNBC researchers. Files are held in a secure environment on Canadian servers. The platform makes it possible for researchers to deposit data, create appropriate metadata, and version documents as they work. Researchers can choose to make content available publicly, to specific individuals, or to keep it locked.

mdw Repository

Subject(s)
Content type(s)
Country
mdw Repository provides researchers with a robust infrastructure for research data management and ensures accessibility of research data during and after completion of research projects, thus, providing a quality boost to contemporary and future research.

IIT Dataverse

Italian Institute of Technology Dataverse

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Content type(s)
Country
IIT Dataverse is the institutional research data repository of the Istituto Italiano di Tecnologia. IIT Dataverse has been operative since May 2021 and is currently open to IIT-affiliated researchers for research data deposition and sharing.

Repositorio Institucional del ITESO

Rel

Subject(s)
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ITESO's Institutional Repository (ReI) is a digital repository that integrates the university's academic production, which manages, preserves and makes available in open access mode the works of researchers, professors and students of this university.

Brock University Dataverse

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Content type(s)
Country
Brock University Dataverse, housed under the Ontario Council of University Libraries’ Scholars Portal Dataverse, is the central online repository for research data at Brock University.

Repositorio de Datos de Investigación Universidad Andrés Bello

Repositorio de Datos UNAB

Subject(s)
Content type(s)
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The Research Data Repository is a technological infrastructure that allows the preservation and access to research data produced at Universidad Andrés Bello (Chile). The repository complies with international standards for the deposit and access of data, highlighting the FAIR principles. These principles guarantee that the data will be Findable, Accessible, Interoperable and Reusable.