You put a lot of effort in your publication as well as in the data and software upon which your publication is based.
Storing your data according to your institutes policies is mandatory, of course.
Increased visibility and transparency and making your data findable for other researchers takes another step.

Archive your data in DataverseNL or another recommended repository as listed below; describe your dataset in Pure and link it to your publication.
The UG Managing Board Research Output recommends the following repositories for archiving and publishing data and software.

General purpose repositories:

• DataverseNL This is by default the UG repository for publishing data
• DansEasy
• 4TU  
• Zenodo      
• Dryad NB: not suitable for human subject research

Subject specific repositories:

• Pangaea - Earth & Environmental Sciences
• Talkbank - Languages & communication. NB: take the right protection measures
• Protein Data Bank (PDB) - Life Sciences
• Wormbase - Life Sciences

Open Science and FAIR data

Open science represents a new approach to the scientific process based on cooperative work and new ways of diffusing knowledge by using digital technologies and new collaborative tools. The idea captures a systemic change to the way science and research have been carried out for the last fifty years: shifting from the standard practices of publishing research results in scientific publications towards sharing and using all available knowledge at an earlier stage in the research process (source).

More information:

• Open Science Community Groningen (OSCG)
• UG Library website on Open Access
• FOSTER

Sharing data en recommended data repositories

Research data underpinning scientific research results can, depending on their sensitivity and protection levels, be shared in several ways (see the section on Repositories here). The UG Research portal provides information on datasets developed by researchers of the University of Groningen, including the University Medical Center Groningen (UMCG). All related to other research output and information on researchers and research units.

FAIR

FAIR is the acronym of Findable, Accessible, Interoperable and Reusable. More information: GoFAIR.

With describing your research data in the Research database with metadata including persistent identifiers, this data and terms of access can be made clear.

Organising your data management in your RDMP and describing methods and data will increase interoperability and reusability. By yourself, your colleagues and the wider community.