Science
Data integration
The platform treats data integration as a scientific task rather than simple file aggregation.
Scientific question
How can heterogeneous community, institutional, geophysical, hydrogeological and Earth-observation data be combined without losing provenance or uncertainty?
Methods and evidence
Use stable identifiers, controlled vocabularies, normalized units, quality flags, access rules and explicit source lineage.
Expected scientific outputs
- Harmonized data
- Provenance records
- Quality controls
- Evidence-coverage products
Limits and safeguards
Harmonization must not erase source-specific meaning; transformed values remain traceable to originals.