FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR
The purpose of this article is to present the results of the implementation of an open research data repository for the Universidad Nacional de Rosario (UNR). First, the article explains the process of evaluating, selecting, and deploying the Academic Data Repository UNR (RDA-UNR) using the Datavers...
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| Autores principales: | , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Universidad de Buenos Aires, Facultad de Filosofía y Letras
2025
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| Acceso en línea: | http://revistascientificas.filo.uba.ar/index.php/ICS/article/view/16501 |
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| Sumario: | The purpose of this article is to present the results of the implementation of an open research data repository for the Universidad Nacional de Rosario (UNR). First, the article explains the process of evaluating, selecting, and deploying the Academic Data Repository UNR (RDA-UNR) using the Dataverse software developed by Harvard University. Secondly, the main activities undertaken by information professionals in collaboration with UNR researchers within an interdisciplinary framework are described. The RDA-UNR was specifically designed to organize, preserve, disseminate, and enhance the visibility of research data generated by UNR researchers, adhering to FAIR principles and international standards aligned with the Open Science framework. Results: The RDA-UNR was officially launched in August 2022 and now supports a research community comprising 12 academic units and 13 UNR-CONICET joint institutes. It includes 66 curated datasets as well as 38 in the process of being curated, making it the first repository of its kind in Argentina.
ARK CAICYT: https://id.caicyt.gov.ar/ark:/s18511740/q82ax935p
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