Repositorio de Datos Académicos RDA-UNR
      
El Repositorio de Datos Académicos UNR (RDA-UNR) permite compartir, archivar, acceder, explorar y citar los datos de investigación gestionados por los docentes, investigadores y alumnos de la UNR, con el fin de dar visibilidad a los datos, potenciando su acceso, su reutilización y garantizando su preservación a largo plazo. Es un repositorio de auto publicación, en el cual los usuarios cargan, organizan, describen y publican sus datos. Cuentan para hacerlo con la ayuda de un equipo de curadores, guías y sesiones de entrenamiento. The Academic Data Repository of the National University of Rosario (RDA- UNR) allows for sharing, storing, accessing, exploring, and citing research data managed by UNR professors, researchers and students so as to make these data visible and promote its use and reutilization, ensuring its long-term preservation. It is a self-publishing repository, i.e. users upload, organize, describe and publish their own data with the assistance of a team of curators, user guides and training sessions.
Indexed
General
  
    
      | Property | 
      Value | 
    
  
  
    
      | Link | 
      
        
        https://dataverse.unr.edu.ar
        
       | 
    
    
      | Status | 
      active | 
    
    
      | Catalog type | 
      Scientific data repository | 
    
    
    
      | Identifiers | 
      
        
       | 
    
    
    
      | Owner name | 
      Universidad Nacional de Rosario | 
    
    
      | Owner type | 
      Academy | 
    
    
      | Owner link | 
      
        
       | 
    
    
      | Owner location | 
      Argentina | 
    
    
      | Software | 
      dataverse (Dataverse) | 
    
    
      | Tags | 
      scientific, has_api, research data, university | 
    
    
      | Access modes | 
      
        open
       | 
    
    
      | Content types | 
      
        dataset
       | 
    
    
      | API Status | 
      active | 
    
API Endpoints
Download
Download the data on this page in JSON
  format.
Feedback
    If you notice any errors or missing data catalogs, please contact us at dateno@dateno.io or open an issue on GitHub. We will address it as
    soon as possible.