Good practices: FAIR data and software

Blog: 5 tips to setup your software research profile

Are you wondering how you can increase reuse of your projects?  externe linkTo achieve that, the goal is not to increase the quality of research. Rather, people simply can’t find your research code and software, which becomes more and more important in the research cycle. Having great findability of your work is important to increase chances of your research being noticed and thus making an impact.

Citizen Science

At the request of Peter Lugtig, Master’s student Annemarie Timmers made an overview of all research projects in the Netherlands in which citizens are actively engaged: Awesome Citizen Science. Why was this list made?

YOUth cohort study

YOUth (Youth Of Utrecht) is a large-scale, longitudinal cohort following children in their development from pregnancy until early adulthood. It is one of the leading human cohorts in FAIR and open data in the Netherlands. Video.

Data infrastructure and accessibility of the YOUth cohort study

UU is striving to achieve the ambition to make data more FAIR via the YOUth project. See the recent publication ‘FAIR, safe and high-quality data: The data infrastructure and accessibility of the YOUth cohort’, containing more information about what this involves.

RDM in everyday practice

What does research data management mean in everyday practice? Ecologist Joeri Zwerts tells about how he uses machine learning to take his research to a higher level.

Reuse of data Global Water Balance Model

Using data standards enables collaboration and reuse of hydrological data and the ‘Global Water Balance Model’

RDM courses

The Graduate School of Life Sciences promotes and encourages PhD students to make use of the various data management courses offered by RDM Support.

Data sharing platforms

The Humanities have a long-standing tradition in FAIR data sharing, for instance through the platforms Delpher, EUscreen and the Typological Database System

FAIR data in biomedical research

Joint efforts in FAIR data are already common in biomedical research. For instance, the Ensembl Bacteria containing bacterial and archaeal genomes, and the Nucleotide Database containing genome, gene and transcript sequence data. 

EuroCarbDB database

In Geosciences, the EurocarbDB database, containing data on carbohydrate structures, is a nice example. 


The PCRaster research and development team (Department of Physical Geography, Faculty of Geosciences) develops software for environmental modelling and shares the code on GitHub


The PyGaze toolbox for eye-tracking research was developed by UU researchers in experimental psychology and is openly shared and supported. It is their most cited publication. 


The Computational Structural Biology group at Utrecht University has developed and shared Haddock, a software package for integrative modelling of biomolecular complexes. On 13 November 2017, they celebrated the 10,000th registered user

Haddock - High-Ambiguity Druven Docking


"In our research community, data sharing is the norm.”
Interview with Niko Wanders, assistant professor of hydrological extremes at the Faculty of Geosciences about sharing research data.

"Our code has been developed to be used by anyone in the world."
Interview with Erik van Sebille, oceanographer at the Faculty of Science and expert in the field of plastic soup and ocean currents, on making a community code.

“Mapping the territory of child development with team science.”
Interview with Prof. dr. Chantal Kemner, programme director of the Utrecht YOUth cohort, a large-scale study that follows children from conception to early adulthood. She shares her idea how progress will come from team science generating lots of data which are questioned from all kinds of interdisciplinary angles.