  The development of a knowledge repository for climate science data is a
multidisciplinary effort between the domain experts (climate scientists), data
engineers whos skills include design and building a knowledge repository, and
machine learning researchers who provide expertise on data preparation tasks
such as gap filling and advise on different machine learning models that can
exploit this data. One of the main goals of the CA20108 cost action is to
develop a knowledge portal that is fully compliant with the FAIR principles for
scientific data management. In the first year, a bespoke knowledge portal was
developed to capture metadata for FAIR datasets. Its purpose was to provide
detailed metadata descriptions for shareable \micro data using the WMO
standard. While storing Network, Site and Sensor metadata locally, the system
passes the actual data to Zenodo, receives back the DOI and thus, creates a
permanent link between the Knowledge Portal and the storage platform Zenodo.
While the user searches the Knowledge portal (metadata), results provide both
detailed descriptions and links to data on the Zenodo platform.
