Our strategy is based on 3 principles:
- A science-based approach, relying on mass balancing, uncertainty assessment and review, and with focus on completeness, consistency and relevance for local decision support.
- A strong reliance on software-supported procedures using the latest advances in data science for data harvesting, uncertainty propagation, validation and review, and data presentation.
- A collaborative social interface, using open source and innovative social media technology for data input, review, and interaction with the user communities.
These principles are applied to the 3 action areas: Harvest data, ensure data quality, and make data usable. The different tasks are organised in 10 working groups as shown in the figure.