If you apply for a grant at ZonMw and/or receive a grant for a research project, you can find here the grant conditions and procedures you need to follow, and information about templates for planning research data management and stewardship (RDM). The section Background information provides guidance to support RDM. The section FAIRification has the information about the approaches, services and infrastructures to create data that comply with the FAIR principles.

Check the call for proposals for specific requirements about Open Science and FAIR data management.

Scroll down for the information you need for your RDM:

  • ZonMw’s policy and requirements for RDM and FAIR data
  • ZonMw’s procedures for RDM in 5 steps
  • Making a data management plan
  • Choosing a DMP template
  • Summarizing the information you need to provide about your RDM (including the key items)
  • ZonMw’s policy and requirements for RDM and FAIR data

FAIR data management and stewardship (RDM) is an important pillar in Open Science. The aim is to create data, that are ‘as open as possible and as closed as necessary’. The aim is also to create data that are ‘findable, accessible, interoperable and reusable’ as much as is currently possible (which can be achieved by following the FAIR principles).
Through this policy, ZonMw ensures that data can be found and reused. That does not mean, however, that data must be open for everyone. For various reasons, e.g. privacy protection, you may decide to provide access to the data under certain restrictions (‘restricted access’). In fact, the FAIR principles guide to the actions to create data that can be found and used by both humans and machines (computers) under specified conditions, e.g. to safeguard privacy or other interests.

You can read more about ZonMw’s policy and requirements for Open Science, and about the grant conditions that refer to RDM. In FAIRification, you can find out about ZonMw’s activities to make ‘make FAIR compliance as easy as possible’.

  • ZonMw’s procedures for RDM in 5 steps

This section is about ZonMw’s procedures and tools for RDM. It shows the actions you need to take in all phases of your research project, from preparing your project until the end when you finalise it.

The actions include:

  • Selecting the data, physical resources (e.g. collections of biomaterials, recordings, etc) and/or software, that you will preserve as assets from your project;
  • Ensuring the quality and reusability of the assets;
  • Protecting the privacy of the subjects, and ensuring other legal, ethical, and societal issues;
  • Annotating the data, and providing rich metadata about your data, which is needed for future users to work with the data (e.g. in follow up research).

You adhere to the FAIR principles throughout these actions, whenever this is possible, to ensure that your data can be found and used by both humans and machines (computers).

Please note

ZonMw is introducing methods to improve the level of FAIRness of the research data (and other assets) that are delivered by its projects. To become FAIR, data must be ‘machine readable’. In other words, the computer (machine) must be able to find de data on the internet, and to understand what they mean. You already achieve a good level of FAIRness by producing machine readable metadata (metadata-for-machines, M4M). You can read more in the section on FAIRification.

ZonMw started this approach in the COVID-19 research programme, and is implementing it in other research programmes as well. If this is the case in your programme, you will be informed by your programme team about what to do.

RDM in 5 steps

  • Making a data management plan

A data management plan (DMP) is obligatory in (most) of ZonMw’s research programmes.
Note that ZonMw will NOT review DMPs anymore (unless it is indicated otherwise in the call for proposals). Researchers are responsible for the quality of their DMP, and may consult their data steward therefore. Read more in ZonMw’s procedures for RDM in 5 steps.

  • Choosing a DMP template

According to ZonMw’s policy and requirements for RDM, researchers may choose a DMP template: either the template of ZonMw, or the DMP template that is provided by the research institution. In the latter case, the institutional DMP template has to be acknowledged by ZonMw. Click here for a list of acknowledged templates.

  • Summarizing the information you need to provide about your RDM

All the information about your data and RDM, that you need to submit to ZonMw (and the reason for that), is summarized here once more:

  1. The checklist for Open science and FAIR data requirements must be used in the grant application phase to highlight some aspects of your RDM planning. In some programmes it is required to submit the form.
    ZonMw thereby verifies whether the projects anticipate on RDM. Moreover, ZonMw gets insight into the standards, technologies and infrastructures that are used in a research domain.      
    Checklist for Open science and FAIR data requirements
  2. The data management and stewardship plan (DMP) in the first 3-6 months of the project. ZonMw does not review the DMP. However, it verifies whether the projects have planned their RDM. Moreover, ZonMw keeps the DMP as a reference, e.g. to check domain specific choices (as in (a)).
  3. The ZonMw key items to report about the outcome of RDM in your project: (1) during your project (as far as you know them); (2) at the end of your project (the complete list).
    At present, ZonMw uses the key items to monitor the progress and output from its projects (data, and other assets (such as collections of non-digital materials, or software).
    In the future, ZonMw may change to monitor progress and output with the help of FAIR/machine readable metadata.
  4. Metadata-for-machines (M4M), to provide open information about the data (or other resources) that you have produced.
    ZonMw requires researchers to use the metadata-for-machines (M4M) templates, when they come available for research programmes. ZonMw initiates the development of such M4M schemes to improve the FAIRness of the data produced by projects. In the future, the M4M templates will be used to automatically monitor/verify the output from projects, substituting the current key items.

Attention! Please consult this website regularly for updates and solutions.

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