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: Bongiovani, Paola Carolina, Díaz Pacífico, Fernando, Freán, Paulina
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: Universidad de Buenos Aires, Facultad de Filosofía y Letras 2025
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Acceso en línea:https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/16501
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=biblioinfo&d=16501_oai
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spelling I28-R145-16501_oai2025-11-17 Bongiovani, Paola Carolina Díaz Pacífico, Fernando Freán, Paulina Bongiovani, Paola Carolina Díaz Pacífico, Fernando Freán, Paulina 2025-06-08 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   El propósito de este artículo es comunicar los resultados de la implementación de un repositorio de datos abiertos de investigación para la Universidad Nacional de Rosario (UNR). En primer término, se explica el proceso de evaluación, selección, y puesta en funcionamiento del Repositorio de Datos Académicos UNR (RDA-UNR), utilizando el software Dataverse, desarrollado por la Universidad de Harvard. A continuación, se describen las principales actividades desarrolladas por los profesionales de la información en el marco de un trabajo interdisciplinario con investigadores de la UNR. El RDA-UNR fue planificado para organizar, preservar, diseminar y dar visibilidad a los datos de investigación producidos por los investigadores de la UNR, adoptando principios FAIR y estándares internacionales en el marco de la Ciencia Abierta. Resultados: El RDA-UNR fue inaugurado en agosto de 2022, sirve a una comunidad de investigación de 12 unidades académicas, 13 institutos de doble dependencia UNR-CONICET; cuenta con 66 datasets curados y 38 en proceso de curación, siendo el primer repositorio en su tipo de Argentina.  ARK CAICYT: https://id.caicyt.gov.ar/ark:/s18511740/q82ax935p   application/pdf text/html https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/16501 10.34096/ics.i52.16501 spa Universidad de Buenos Aires, Facultad de Filosofía y Letras https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/16501/14746 https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/16501/14747 Derechos de autor 2025 Paola Carolina Bongiovani, Fernando Díaz Pacífico, Paulina Freán Información, cultura y sociedad; No. 52 (2025): Junio; 175-202 Información, cultura y sociedad; Núm. 52 (2025): Junio; 175-202 1851-1740 1514-8327 Open science Data repositories Open data FAIR Principles Ciencia abierta Repositorios de datos Datos abiertos Principios FAIR FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR Datos FAIR en Argentina. Desarrollo y desafíos del Repositorio de Datos Académicos RDA-UNR info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=biblioinfo&d=16501_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
language Español
orig_language_str_mv spa
topic Open science
Data repositories
Open data
FAIR Principles
Ciencia abierta
Repositorios de datos
Datos abiertos
Principios FAIR
spellingShingle Open science
Data repositories
Open data
FAIR Principles
Ciencia abierta
Repositorios de datos
Datos abiertos
Principios FAIR
Bongiovani, Paola Carolina
Díaz Pacífico, Fernando
Freán, Paulina
Bongiovani, Paola Carolina
Díaz Pacífico, Fernando
Freán, Paulina
FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR
topic_facet Open science
Data repositories
Open data
FAIR Principles
Ciencia abierta
Repositorios de datos
Datos abiertos
Principios FAIR
description 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  
format Artículo
publishedVersion
author Bongiovani, Paola Carolina
Díaz Pacífico, Fernando
Freán, Paulina
Bongiovani, Paola Carolina
Díaz Pacífico, Fernando
Freán, Paulina
author_facet Bongiovani, Paola Carolina
Díaz Pacífico, Fernando
Freán, Paulina
Bongiovani, Paola Carolina
Díaz Pacífico, Fernando
Freán, Paulina
author_sort Bongiovani, Paola Carolina
title FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR
title_short FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR
title_full FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR
title_fullStr FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR
title_full_unstemmed FAIR Data in Argentina: Development and challenges of the Academic Data Repository RDA-UNR
title_sort fair data in argentina: development and challenges of the academic data repository rda-unr
publisher Universidad de Buenos Aires, Facultad de Filosofía y Letras
publishDate 2025
url https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/16501
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=biblioinfo&d=16501_oai
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