Research data management: Good practices

ca | es | en

To publish research data openly allows secure, freely and universal access to these data. And also proper preservation, exploitation, reproduction, distribution, visibility and impact of the data. Besides, it will comply with the requirements of funders.

Data management checklist

Formats, versions and file names

Resources to manage and organize files, folders and versions of documents. File formats and resources to organize the data.



Eight tips for a good organization of the files generated during the research:

  1. Establish conventions for naming files and folders
  2. Choose a single place to save all files
  3. Define a hierarchical structure to create folders and files
  4. Check the version of the files
  5. Delete obsolete files periodically
  6. Make backup copies
  7. Control access to files and encrypt those that are necessary
  8. Establish a conservation period of the files

More information: http://hdl.handle.net/2072/377584

 

Metadata

Metadata are data about the data. Metadata helps to understand the data in detail and help other researchers find, use and quote your data correctly.

Personal data

Please refer to the Spanish and European legislation and the procedure for the treatment of personal data in research, development and innovation. UPF information about personal data protection, such as safety measures, are available in the intranet of Protecció de dades de caràcter personal. 

Copyright and licenses

Publishing open data

There are different options to publish your data:

1. Check out if there is a subject repository in your area. See re3data.org, FAIRsharing.org o Repository Finder.

2. Publish data in UPF.

3. Other multidisciplinary repositories (Zenodo, Eudat, Figshare, Dryad, Dataverse, Mendeley Data ...):

If you do not wish to publish your data in the UPF Repository, please contact us in order to link the data with the related publications.

Consult Recomanacions per seleccionar un repositori per al dipòsit de dades de recerca created by the Consorci de Serveis Universitaris de Catalunya (CSUC).

Create you own readme.txt file for each dataset you publish.

Fitxer readme.txt

The readme.txt file provides information about the dataset in order to ensure a correct interpretation and reuse of teh data.

You need to create a readme.txt file for each dataset and deposit it along with the rest of the files.

Use and consult the templates (in catalan, spanish and english) created by the Consorci de Serveis Universitaris de Catalunya (CSUC) to make the readme.txt file.

Storage and security

See the Data Management Plan for more information on the procedure for backup copies of each campus of the Universitat Pompeu Fabra.

Ethical aspects

To request an ethical review of the project, consult the Institutional Committee for Ethical Review of Projects (CIREP-UPF).

Other links of interest: