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Support on research data management

Support on research data management

Support on research data management

Today, the management of research data has become a fundamental part of any research process. Organizing, documenting and sharing data ensures that research results can be verified and reproduced.


Through publication, research data can be stored, identified, accessed, reproduced and disseminated in a manner that is easy, useful and valid to make the data visible and increase the potential impact. Ensuring free access carries the benefit of enabling users to exploit, use and evaluate the data. 


Since 2019 the University Since 2019 the University has an institutional policy to improve the management, the preservation and the exchange of research data.


This page features tools and information to help you meet the requirements of the Horizon 2020 programme.

 Data and projects funded by Horizon Europe 2021-2027


In the framework of the Horizon 2020 European research programme, an Open Research Data Pilot was instigated. The pilot called for a Data Management Plan (DMP) and the publication of any data associated with published results. As of 2017, the Pilot Plan disappears to become the general rule for any funded project.

The Horizon Europe program (2021-2027) facilitates collaboration and strengthens the impact of research and innovation in the development, support and implementation of EU policies while addressing global challenges. It supports the creation and better dissemination of knowledge and technologies. In the current program, the development of a Data Management Plan is mandatory for all projects that generate or reuse data.

Data needs to be 'FAIR', i.e. Findable, Accessible, Interoperable and Reusable.

Open science policy must also be ensured: Mandatory open access to publications and open science principles apply to the entire program.

 Horizon Europe

 Information sheet: Open Science at “Horizon Europe”

 The FAIR Data Principles

 Horizon Europe (HORIZON): Model Grant Agreement

 Data Management Plan Template. Horizon Europe



 Planning: How to create a Data Management Plan


A data management plan needs to explain what will be done with the data during and after a project: what data will be obtained, collected or processed, what standards and methodology will be applied to the data, who will have access to the data and when, and how the data will be stored after the project’s completion.


The following resources and tools can help you to prepare a data management plan:


 Screen for a data management: document prepared by the CSUC working group on research support in accordance with the guidelines of the Horizon 2020 programme. (version 3, June 2019)

 Online tool: based on DMP Online, prepared by the CSUC working group on research support. | Video for the use of online tool created by UPF.

 DMP Online: an online tool created by Digital Curation Centre (UK). Includes screens for projects in the Horizon 2020 programme.

 PAGODA:translation and adaptation of DMP Online into Spanish by the Madroño Consortium.

 DMP Tool: online tool created by the University of California. It does not have a screen for projects in the Horizon 2020 programme, but it includes many examples of management plans.


 Disseminating the data


Once the results of a piece of research have been published, it will be necessary in many cases to disseminate the data that support the results. For this purpose, researchers at the University of Barcelona have the following options:


 In CORA repository, federated and multidisciplinary data repository that allows Catalan universities, CERCA research centers and other entities that carry out research to publish research datasets in FAIR mode and following the EOSC guidelines.

 In a subject repository. To find the most appropriate one, consult the Registry of Research Data Repositories

 By means of the Digital Repository of the UB

 In other multidisciplinary repositories. Consult the study carried out by the CSUC working group on research support. (versió 4, setembre 2019)


When publishing data, you need to take into account the use of licences to permit reuse. For additional information, see: 


 Advice and information on intellectual property, CRAI (UB)

 Licenses for open data


 Reusing and citing the data


In some projects, you may want to use data already in existence, not new data. In these cases, it is crucial to cite the original data. For this purpose, we provide the following resources: 


 Data citation principles

 DataCite citation service 



For additional information, you can contact us at User support service (SAU), or through the CRAI Office for Knowledge Dissemination.



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