Design data-driven specifications such as data models and APIs. Analyse and compare models, test how they perform when real data is integrated. Publish data on different platforms to evaluate fitness for purpose.
Work in fast iterations through all phases - from analysis over design to implementation and validation - to reap the benefits of standards without implemmentation risks or opportunity costs through long development time!
Build national and international spatial data infrastructures for efficient processes in administration, for citizens and for businesses.
Effective environmental policy requires high-quality data.
Thousands of environmental agencies and other organisations regularly report information about the current state of the environment to national and international coordination bodies. Find out how to do so effectively and with high data quality.
Make sure your data infrastructure and management keeps up with the dta collection from sensors and citizens, so that you can act based on high-confidence insights.