Frequently Asked Questions

A Data Management Plan (DMP) indicates how you will gather and store data for your research. The plan is intended to ensure confidentiality and verifiability for your research to protect your research subjects from harm and safeguard your research integrity. EUR researchers can use the EUR Data Management Plan template to write their DMP.

Below you can find the frequently asked questions belonging to the Data Management Plan template. If you have any questions or comments, please contact Linda Jansen ( 

  • De-identification prevents an inference attack from revealing disclosed information. However, sufficient data points stay available to draw conclusions. With de-identification, you mask the data that you don’t need through:

    • suppression;
    • randomization;
    • pseudonymization - no names will be used, only artificial identifiers (string of digits). Other identifying data [e.g. age, education and income] are de-identified, by not using absolute values, but broader categories;
    • generalisation;
    • sub-sampling;
    • hashing. 

    Other options are also possible.

    • Dataset reference: Raw data, as well as research data, can be saved in the EUR Document Vault (for more information, please contact Research Services ( 
      • Projects financed by an external party are called: [School]/[Acronym]/[wbsnr.]
      • Projects without WBS nr. are called: [School]/[Acronym]/[Lastname researcher].
    • Dataset name: Acronym of the project
    • Data format: Please consult the list with preferred formats
    • Yes - in principle, it is good to determine whether your data can be used to solve other research questions. Anonymised data can be used for secondary analysis. Your informed consent form should indicate to your participants/respondents that anonymised data may be used at a later date for further analysis. If this is not indicated or the forms are not anonymised, consent is required.
    • No - however, there are circumstances in which re-use is not recommended, for example: 
      • when your research involves vulnerable groups.
      • when you cannot repeat the research, e.g. qualitative research whereby the setting cannot be repeated, like an interview with someone who committed a coup. 
  • Not all data needs to be stored long-term: storing pre-final versions is often not necessary and many forms of empirical research can be repeated relatively easy. In the brochure Selection of Research Data, Guidelines for appraising and selecting research data and on the website of Research Data Netherlands you'll find more information on the preservation of data. 

    Different criteria apply to health research data. According to the Code of Conduct for Health Research (only available in Dutch), this data cannot be preserved for longer than five years if the data contains indirectly identifying personal information.  

  • The period after which you decide the embargo may expire will depend on many conditions. For example, whether the data includes sensitive personal data or whether the data is commercial. General guidelines do not apply to this situation. It will vary for each type of data set.