CSUC

Open Science

Research Data Repository (RDR)

Federated and multidisciplinary repository for the publication of research datasets in FAIR mode (Findable, Accessible, Interoperable and Reusable) following the European Open Science Cloud (EOSC) guidelines.

Research Data Repository (RDR) is an instrument for increasing the efficiency and transparency of research through the rapid dissemination of datasets and facilitating their reuse. 

RDR works with the open source Dataverse software, developed by Harvard's Institute for Quantitative Social Science, which allows users to store datasets while displaying descriptive metadata and allowing the corresponding files to be downloaded. The Dataverse software is widely used around the world, with users in Europe such as DataverseNO, in Norway; DataverseNL, in the Netherlands; CROSSDA, in Croatia; or e-CienciaDatos, in Spain.

CSUC coordinates the RDR service and encourages the exchange of experiences and mutual support between the community formed by the Catalan universities and the participating research centers with the aim of developing expertise and good practices in data curation.

9 benefits of using Data Research Repository

  1. Helps users meet the requirements of both European and national funding agencies.
  2. Allows users to personalize the space according to the interests of each institution. 
  3. Increases data visibility thanks to the use of Persistent Identifiers (DOIs) and generic or discipline-specific metadata. 
  4. Storage up to 10 GB by default. In case the user needs more space, a special request is needed. 
  5. Allows users to manage data and limit access to specific users. It also provides a private URL to display the dataset before it goes public. 
  6. Allows long-term preservation of data (10 year at least). 
  7. Assigns CC0 licenses by default, and others are allowed. 
  8. It automatically transforms the file format to open preservation formats. 
  9. Ensures the quality of the datasets thanks to the curation of data at different levels.  

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