�����̨

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.

Data infrastructure and accessibility of the YOUth cohort study

�����̨ is striving to achieve the ambition to make data more FAIR via the YOUth project. See the recent publication ‘’, 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 , and the . 

FAIR data in biomedical research

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

EuroCarbDB database

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

PCRaster

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

PyGaze

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

Haddock

The at Utrecht University has developed and shared , a software package for integrative modelling of biomolecular complexes. On 13 November 2017, they celebrated the . 

Interviews

"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.