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The development of a knowledge repository for climate science data is amultidisciplinary effort between the domain experts (climate scientists), dataengineers whos skills include design and building a knowledge repository, andmachine learning researchers who provide expertise on data preparation taskssuch as gap filling and advise on different machine learning models that canexploit this data. One of the main goals of the CA20108 cost action is todevelop a knowledge portal that is fully compliant with the FAIR principles forscientific data management. In the first year, a bespoke knowledge portal wasdeveloped to capture metadata for FAIR datasets. Its purpose was to providedetailed metadata descriptions for shareable \micro data using the WMOstandard. While storing Network, Site and Sensor metadata locally, the systempasses the actual data to Zenodo, receives back the DOI and thus, creates apermanent link between the Knowledge Portal and the storage platform Zenodo.While the user searches the Knowledge portal (metadata), results provide bothdetailed descriptions and links to data on the Zenodo platform.

Constructing a Searchable Knowledge Repository for FAIR Climate Data